Aws Data Engineer

Aws Data Engineer Jobs

14 jobs found

Today

Senior Data Engineer

Meridian Systematics Springfield, VA

Springfield, VA

Today

$130k - $180k/yr Full time Senior Aws Data Engineer Azure

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Job Description

Meridian Systematics is hiring a Senior Data Engineer for hybrid work in Springfield, VA.

Responsibilities

Design, build, install, test, and maintain highly scalable data management systems
Implement and manage ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) to move and transform data between systems
Build and maintain unified catalog and data warehouse and/or data lake solutions, including creating and managing table schemas
Create data validation methods to ensure data quality and reliability
Implement data governance and security policies
Partner with data scientists, analysts, and business leaders to understand data needs and deliver solutions aligned with company objectives
Write scripts and use orchestration tools to automate repetitive tasks and data workflows
Monitor data system performance and optimize for speed, reliability, and cost-effectiveness

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field
Proven experience as a Data Engineer or in a similar role
Proficiency in SQL and at least one: Python, Java, or Scala
Strong experience with both:
- Relational databases (e.g., MySQL, PostgreSQL)
- NoSQL databases (e.g., MongoDB, Cassandra)
Hands-on experience with big data tools such as Apache Spark, Hadoop, or Kafka
Familiarity with cloud services: AWS, Azure, or Google Cloud
Experience with ETL frameworks and tools such as Talend, Informatica, or AWS Glue
Active Top Secret clearance (Required): Top Secret

Preferred Qualifications

Master's degree in a related field
Professional certifications such as AWS Certified, Google Cloud Certified Professional Data Engineer, IBM Certified Data Engineer, or Microsoft Certified: Azure Data Engineer Associate
In-depth knowledge of data modeling techniques, including star and snowflake schemas
Experience with Docker and Kubernetes
Understanding of CI/CD principles and experience with related tools (e.g., Jenkins, GitLab CI)
Excellent communication and collaboration skills to work effectively with various teams

Technologies

SQL, Python, Java, Scala
MySQL, PostgreSQL
MongoDB, Cassandra
Apache Spark, Hadoop, Kafka
AWS, Azure, Google Cloud
Talend, Informatica, AWS Glue
Docker, Kubernetes
Jenkins, GitLab CI
ETL (Extract, Transform, Load), ELT (Extract, Load, Transform)

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Health insurance
Paid time off
Vision insurance

Compensation

$130,000.00 - $180,000.00 per year

Work Location

Hybrid remote in Springfield, VA 22152

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Today

Senior Data Engineer

Delta Airlines Atlanta, GA

Atlanta, GA

Today

Full time Senior Artificial Intelligence AWS

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Job Description

The Senior Data Engineer role at Delta Airlines focuses on delivering secure, scalable, and AI-ready data solutions that support IT Service Assurance. You will lead modernization of AWS data platforms and help enable operational intelligence and trusted data products across ITSM, CMDB, observability, telemetry, and enterprise platforms.

Responsibilities

Lead independently across complex data initiatives by identifying improvement opportunities, shaping solutions, and driving delivery from concept through production.
Design and modernize secure, scalable AWS data platforms, pipelines, lakehouse patterns, and reusable data products aligned to enterprise architecture and governance standards.
Provide senior technical leadership across ingestion, transformation, modeling, metadata, data quality, lineage, performance optimization, and production reliability.
Build and optimize batch, incremental, event-driven, and near-real-time integrations across APIs, databases, files, ServiceNow, CMDB, observability, telemetry, and enterprise platforms.
Develop efficient, maintainable Python and SQL for data pipeline development, orchestration, transformations, analytics layers, APIs, automation, and reusable engineering frameworks.
Create trusted data products using automated controls for completeness, accuracy, freshness, reconciliation, monitoring, alerting, and exception handling.
Advance AI-ready architectures that prepare structured and unstructured data for Amazon SageMaker, Amazon Bedrock, LLMs, RAG, vector databases, semantic search, agents, and MCP-enabled solutions.
Design retrieval, embedding, indexing, enrichment, and context-management patterns to improve usability, discoverability, and responsible AI outcomes.
Drive operational excellence using CI/CD, Infrastructure as Code, automated testing, source control, code reviews, runbooks, production monitoring, and resilient deployment practices.
Apply security, privacy, identity, access control, encryption, retention, data classification, and responsible AI requirements throughout the data lifecycle.
Influence stakeholders, mentor engineers, promote reusable standards, evaluate emerging technologies, and guide modernization efforts that improve scalability, automation, cost, and business value.

Requirements

At least 18 years of age and authorization to work in the United States.
High school diploma, GED, or high school equivalency.
Embraces diverse people, thinking, and styles.
Consistently prioritizes safety and security of self, others, and personal data.
Strong analytical and interpersonal skills with the ability to develop effective relationships and influence without direct authority.
Superior written and verbal communication skills, including executive presence to represent the business across the organization.
7+ years of IT experience, including 4+ years hands-on experience designing, developing, and supporting enterprise data pipelines, data platforms, lakehouses, or analytical data solutions.
Demonstrated experience designing and implementing cloud-based data lake, data warehouse, or lakehouse architectures using AWS services.
Hands-on experience with Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, AWS Lambda, Amazon EventBridge, AWS Lake Formation, AWS IAM, and related data services.
Advanced proficiency in Python and SQL for ingestion, transformation, automation, analysis, data services, and performance optimization.
Experience designing scalable ETL and ELT pipelines integrating APIs, databases, structured files, semi-structured content, and cloud services.
Strong experience with dimensional and relational data modeling, including normalized, denormalized, and analytics-oriented structures, such as layered raw, curated, published, and analytics architectures.
Strong understanding of incremental ingestion, change-data capture, watermarking, deduplication, record versioning, historical tracking, late-arriving data, schema evolution, and reconciliation.
Experience implementing metadata, lineage, cataloging, source-to-target mapping, data-quality testing, freshness monitoring, logging, alerting, and exception handling.
Working knowledge of Amazon SageMaker, Amazon Bedrock, foundation models, LLM application architectures, RAG, embeddings, vector search, semantic retrieval, and AI-ready data preparation.
Experience preparing structured and unstructured data through parsing, chunking, enrichment, embedding generation, indexing, access filtering, and context management.
Strong understanding of data governance, data classification, privacy, encryption, retention, identity, authorization, and secure handling of personal and sensitive information.
Experience with Amazon Redshift development concepts, including SQL optimization, workload performance, distribution and sort strategies, materialized views, stored procedures, access controls, and Parquet.
Experience with Git, automated testing, CI/CD, and Infrastructure as Code such as AWS CDK or CloudFormation.
Ability to communicate complex technical concepts, data limitations, architecture decisions, AI data requirements, and implementation plans to technical and business audiences.
Demonstrated ability to lead technical design, mentor engineers, conduct code and architecture reviews, establish reusable standards, and manage work across concurrent Agile initiatives.
Consistent commitment to safety, security, responsible AI, operational reliability, and protection of personal and sensitive data.

Technologies

AWS, Amazon SageMaker, Amazon Bedrock, LLMs, RAG, vector databases
Amazon S3, AWS Glue, Amazon Athena, Amazon Redshift, AWS Lambda, AWS EventBridge, AWS Lake Formation, AWS IAM
Python, SQL, ServiceNow, CMDB, Amazon CloudWatch, Dynatrace, PagerDuty, Sumo Logic
Amazon OpenSearch Service, PostgreSQL, pgvector
OpenID Connect, OAuth 2.0, CI/CD, Infrastructure as Code, AWS CDK, CloudFormation
Git, AWS Glue Data Quality, Great Expectations, dbt
Amazon Redshift SQL optimization, Parquet, ETL, ELT, Lakehouse, Lake Formation

Preferred Qualifications

AWS Certified Data Engineer, AWS Certified Solutions Architect, AWS Certified Machine Learning Engineer, or another relevant AWS certification.
Hands-on experience with Amazon SageMaker, Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Agents or AgentCore, Amazon OpenSearch Service, foundation models, embedding models, and production generative AI architectures.
Experience implementing enterprise RAG solutions, semantic search, hybrid retrieval, reranking, retrieval evaluation, grounding, citations, and AI-powered knowledge repositories.
Experience designing or integrating vector databases and vector-capable platforms such as Amazon OpenSearch Service, PostgreSQL with pgvector, or comparable technologies.
Experience with prompt engineering, model evaluation, guardrails, hallucination reduction, responsible AI controls, observability, and secure AI deployment patterns.
Deep knowledge of ServiceNow data, APIs, table structures, reference fields, ITSM processes, configuration management data, and CMDB relationships.
Experience integrating observability and operational platforms such as Dynatrace, PagerDuty, Amazon CloudWatch, ServiceNow, Sumo Logic, or similar enterprise services.
Experience implementing OAuth 2.0, OpenID Connect, identity federation, role-based access controls, and document- or row-level authorization for data and AI retrieval.
Experience with automated data testing and quality frameworks such as AWS Glue Data Quality, Great Expectations, dbt tests, or comparable technologies.
Demonstrated history of leading data modernization, cloud migration, operational intelligence, platform engineering, generative AI, or AI-enablement initiatives.

Benefits

Competitive salary, industry-leading profit sharing program, and performance incentives
401(k) with generous company contributions up to 9%
Paid time off including vacation, holidays, paid personal time, maternity and parental leave
Comprehensive health benefits including medical, dental, vision, short/long term disability and life benefits
Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages
Holistic Wellbeing programs including access to an employee assistance program, free financial coaching, and extensive resources supporting mental health
Domestic and International space-available flight privileges for employees and eligible family members
Career development programs to achieve your long-term career goals
World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing their carbon footprint
Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies
Recognition rewards and awards through the platform Unstoppable Together
Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare

Location

Atlanta, GA (onsite)

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2d ago

Data Engineer

Symple Lending Tampa, FL

Tampa, FL

2d ago

Full time 3d Design Tools Automation AWS

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Job Description

Hybrid Data Engineer role in Tampa, Florida focused on maintaining production cloud infrastructure and reliable data pipelines.

Responsibilities

Maintain and optimize production data pipelines using AWS tools such as S3, Redshift, ECS, and SFTP integrations
Build, test, and maintain dbt models for dependable and efficient data transformations
Monitor pipeline performance, data accuracy, and overall system health; troubleshoot and resolve production issues
Support security and compliance through system updates, dependency upgrades, vulnerability remediation, and patching
Collaborate with engineering teams using Git, pull requests, code reviews, and CI/CD processes
Use AI-assisted development tools including Claude and Cursor to streamline engineering workflows
Create and maintain technical documentation, operational procedures, and communicate system updates across teams
Partner with the Senior Data Engineer on infrastructure improvements and scalable data solutions

Requirements

3–5 years of professional experience in data engineering or a related technical role
Strong SQL skills and experience with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery
Proficiency in Python for data pipelines, scripting, and automation
Hands-on experience with AWS services including S3, IAM, ECS, or Lambda
Production experience with dbt and data transformation workflows
Experience using Git, pull requests, and collaborative code review practices
Knowledge of security best practices, system monitoring, dependency management, and vulnerability remediation
Familiarity with AI-assisted development tools and interest in applying AI in day-to-day workflows
Strong problem-solving, communication, and collaboration skills

Technologies

AWS, S3, Redshift, ECS, SFTP, dbt, Git, CI/CD, Claude, Cursor, SQL, Snowflake, BigQuery, Python, IAM, Lambda
Docker, ECS/Fargate, Terraform, CloudFormation
EventBridge, SQS
Dependabot, Snyk, AWS Inspector
Amazon SageMaker, machine learning pipelines

Benefits

Competitive salary
Comprehensive health, dental, and vision insurance
Direct mentorship from an experienced Senior Data Engineer
Opportunity to take ownership of production systems and make a meaningful impact
Hands-on exposure to modern AWS cloud infrastructure and AI-driven engineering tools
Positive and collaborative work culture
Paid time off
Professional growth and development opportunities
Employee referral bonus program

Bonus Points

Experience with Docker, ECS/Fargate, Terraform, or CloudFormation
Familiarity with AWS EventBridge, SQS, or other event-driven architectures
Experience with security tools such as Dependabot, Snyk, or AWS Inspector
Background in financial services, lending, or another regulated industry
Exposure to machine learning pipelines or Amazon SageMaker

Location: Tampa, FL (hybrid)

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2d ago

Data Engineer

Avera Health Sioux Falls, SD

Sioux Falls, SD

2d ago

$74k - $123k/yr Full time Aws Data Engineer Azure Azure Data Engineer

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Job Description

The Data Engineer at Avera Health in Sioux Falls, SD supports the end-to-end design, development, and maintenance of data systems and pipelines so data can be collected, processed, stored, validated, and used for analysis and reporting.

Responsibilities

Design and develop data systems, including a data warehouse and a data lake.
Assist with developing and maintaining ETL processes.
Build data pipelines to collect data from source systems and move it to storage platforms.
Support data cleaning and preprocessing to maintain high data quality.
Monitor and troubleshoot data pipeline performance, addressing issues as they occur.
Maintain system logs to support the smooth operation of data processes.
Assist with maintaining and upgrading existing data infrastructure, including databases and data warehouses.
Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.
Document data workflows, pipelines, and technical processes.
Maintain clear and organized records for data sources and transformations.

Requirements

Bachelor’s degree in computer science, analytics, mathematics, business, or a related field, or an equivalent combination of education and work experience.
At least 2 to 3 years of relevant experience.
Knowledge of programming languages such as SQL and Python.
Familiarity with relational databases such as SQL Server.
Strong understanding of SQL for querying and manipulating relational databases.
Exposure to data processing tools and frameworks for both on-premises and cloud environments (including PySpark, ETL tools, SSIS, and Azure Data Factory).
Ability to collaborate effectively with cross-functional teams, including data scientists, analysts, and other engineers.
Strong attention to detail and ability to follow standard operating procedures.
Familiarity with cloud platforms such as Databricks and AWS, Azure, and GCP.
Willingness to learn and develop skills in data engineering technologies.

Technologies

SQL
Python
SQL Server
PySpark
ETL
SSIS
Azure Data Factory
Databricks
AWS
Azure
GCP

Preferred Qualifications

Healthcare experience, with preference for the Epic Electronic Health Record system.

Benefits

PTO available day 1 for eligible hires.
Up to 5% employer matching contribution for retirement.
Career development supported through hands-on training and mentorship.

Essential Qualifications

Ability to work the hours specified.
Ability to perform each essential job function satisfactorily, including visual acuity adequate to perform position duties and the ability to communicate effectively with others, hear, understand, and distinguish speech and other sounds.
Requirements listed are representative of the knowledge, skills, and abilities required to perform essential job functions.
Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions, provided accommodations do not cause undue hardship to the employer.

Expectations and Standards

Commit to the daily application of Avera’s mission, vision, core values, and social principles to serve patients, their families, and the community.
Promote Avera’s values of compassion, hospitality, and stewardship.
Uphold Avera’s standards of Communication, Attitude, Responsiveness, and Engagement (CARE) with enthusiasm and sincerity.
Maintain confidentiality.
Work effectively in a team environment by coordinating workflow and ensuring a productive and efficient environment.
Comply with safety principles, laws, regulations, and standards associated with, but not limited to, CMS, The Joint Commission, DHHS, and OSHA if applicable.

Compensation and Location

Location: Sioux Falls, SD 57104 (onsite)

Salary: USD 73,840 to 123,240 per year

Minimum experience: 2 years

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2d ago

Senior Data Engineer

Grainger Management LLC Lake Forest, IL

Lake Forest, IL

2d ago

$105k - $174k/yr Full time Senior Artificial Intelligence Aws Data Engineer

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Job Description

Grainger is hiring a Senior Data Engineer to design and operate governed batch and real-time data products for Product Discovery, supporting search, machine learning, analytics, and AI-enabled experiences.

Responsibilities

Design and operate reliable, governed batch and real-time data products using Databricks, Snowflake, Spark, Kubernetes, vector/search technologies, and cloud-native services
Build pipelines, data assets, orchestration patterns, and search and retrieval capabilities that make trusted data available to search, machine learning, analytics, and engineering teams
Design, develop, and maintain scalable data solutions to integrate and transform data for business and analytical use
Apply data engineering practices to deliver reliable, high-quality data products while improving performance, scalability, and automation
Partner with technical and business stakeholders to translate requirements into effective data solutions
Design, develop, test, and maintain scalable data pipelines and data products integrating information from multiple sources
Extract, transform, integrate, and deliver reliable data for analytical and business needs
Develop and enhance data engineering capabilities to improve data accessibility, performance, quality, and scalability
Analyze business and technical needs and translate them into data designs, specifications, and solutions
Identify and implement improvements to data engineering processes, including automation, optimization, and increased reliability
Resolve data-related challenges with stakeholders and deliver solutions aligned to business requirements
Provide technical guidance, review designs, and help establish engineering practices for less-experienced team members
Design and deliver scalable batch and streaming data pipelines and data products across modern data and cloud platforms
Define reusable Data Engineering patterns for CDC, event-driven processing, workflow orchestration, data products, and AI/search-enabled workloads
Partner with Engineering, Product, and Applied Science on architecture, roadmap, adoption, and operational ownership of data capabilities

Requirements

Bachelor's Degree or equivalent experience in Computer Science, Computer Engineering, Information Systems, Data Science, Software Engineering, or a related technical field
3+ years of related data engineering or software engineering experience
Experience building and operating production batch and streaming data pipelines on Databricks or similar modern data platforms
Strong software engineering skills in Python, with hands-on experience using Spark or other distributed processing frameworks
Hands-on experience with CDC, streaming/event-driven architectures, and workflow orchestration, including selecting patterns based on scale, reliability, and use case
Experience with containerization and orchestration such as Docker and Kubernetes, plus cloud platforms such as AWS or equivalent
Experience implementing CI/CD and automated testing using GitHub Actions or equivalent platforms
Experience working across relational, NoSQL, vector, graph, or other database technologies and choosing storage patterns based on the use case
Experience designing and developing scalable data pipelines, data integration solutions, and data products
Proficiency with programming, scripting, and data query languages used to develop and manipulate data solutions
Experience translating requirements into technical designs and implementing solutions involving multiple data sources
Knowledge of modern data engineering

Technologies

Databricks, Snowflake, Spark, Kubernetes
Vector/search technologies
Python
Docker, AWS
GitHub Actions
CDC, streaming/event-driven architectures, workflow orchestration
CI/CD
NoSQL, graph, relational, vector
Tableflow, Airflow, Databricks Workflows
AWS DMS, Debezium
Machine learning, AI

Preferred

Experience with CDC and orchestration platforms such as AWS DMS, Debezium, Tableflow, Airflow, Databricks Workflows, or equivalent technologies
Experience using machine learning or AI within data pipelines to classify, enrich, standardize, match, or improve data
Experience with e-commerce, search, recommendations, or personalization platforms
Working knowledge of machine learning models and production of ML workflows

Compensation

Anticipated base pay range: $104,500.00 - $174,200.00 per year
Incentive target: eligible for up to 10% (or $), based on individual and company performance objectives per the incentive program terms (subject to change)

Benefits

Medical, dental, vision, and life insurance plans with coverage starting on day one
6 free sessions each year with a licensed therapist for emotional wellbeing support
18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date)
6 company holidays per year
6% company contribution to a 401(k) Retirement Savings Plan each pay period; no employee contribution required
Employee discounts, tuition reimbursement, student loan refinancing, and free access to financial counseling, education, and tools
Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents

Location and Work Type

Lake Forest, IL (Hybrid)

Sponsorship

This position is not eligible for any form of sponsorship now or in the future
Individuals requiring sponsorship (e.g., OPT or H1B) should not apply
Only individuals authorized to work in the United States now and for the foreseeable future will be considered

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2d ago

Data Engineer

Hendrick Autoguard - HIC Charlotte, NC

Charlotte, NC

2d ago

Full time AWS Aws Data Engineer Cloud Data Warehouse

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Job Description

Charlotte, NC onsite role focused on building reliable ingestion, transformations, and data models for BI and AI initiatives.

Responsibilities

Own the design and ongoing operation of ingestion pipelines, transformation logic, and data models to keep Hendrick Autoguard data reliable, accessible, and usable
Design, build, and maintain ingestion pipelines that move data from source systems into the Snowflake data platform
Orchestrate data workflows in Dagster with an emphasis on observability, reliability, and operational soundness
Monitor pipeline health and data availability, investigate load failures or late-arriving data, and fix root causes
Implement alerting so issues are detected early rather than discovered through downstream reports
Develop and maintain dbt transformation models that produce clean, tested, well-documented datasets
Create dimensional models and data marts to support reporting and machine learning use cases
Apply data quality checks and testing standards throughout the transformation layer
Prepare data for AI by structuring feature datasets and building training data pipelines
Partner with data science and AI teams to ensure datasets meet quality, freshness, and structure requirements
Contribute to the semantic layer to provide consistent, well-defined access to business metrics and entities for analytics and AI consumers
Maintain visibility into data lineage and governance needs, especially for AI use cases where provenance matters
Advise on the strategic direction of the data engineering toolset, including platform and feature updates and evaluation of new capabilities
Stay current with best practices in data engineering, AI data preparation, and orchestration and use that knowledge to evolve team tools and standards
Build working knowledge of Autoguard business processes supported by the data, including vehicle service contract and protection product sales through dealership partners, claims administration, and cancellations
Work with business stakeholders to understand data needs, translate them into technical designs, and apply business context to modeling decisions and pipeline priorities
Occasionally support dashboard and report preparation by building or troubleshooting a report or assisting analysts with source-side modeling issues

Requirements

3–7 years of professional experience in data engineering or a closely related discipline
Strong proficiency in SQL
Hands-on experience with a cloud data warehouse, a data transformation and modeling framework, and a workflow orchestration tool
Snowflake, dbt, and Dagster experience (strongly preferred)
Familiarity with AWS, including storage, IAM, and basic networking concepts
Preferred: Python experience for pipeline development or data scripting
Preferred: exposure to data quality frameworks, data contracts, or observability tooling
Preferred: experience supporting ML pipelines or AI data preparation workflows
Preferred: familiarity with medallion architecture or similar layered design patterns
Preferred: involvement in data governance or data catalog efforts
Able to engage with non-technical stakeholders and translate business needs into technical requirements
Clear written and verbal communication skills
Ability to produce accurate, specific model documentation, dataset descriptions, and design notes that do not require follow-up conversation

Technologies

Snowflake
dbt
Dagster
AWS
S3
EC2
IAM
Python
GitHub
SQL

Working Conditions

Onsite at Hendrick Automotive Group headquarters in a standard office environment with in-person collaboration
Minimal travel; may be by car or plane
Not remote due to essential functions of the job
Requires sitting for prolonged periods and extensive use of computer and office equipment (typing, phone, printer)

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2d ago

Jr Data Engineer

Full Visibility LLC Huntsville, AL

Huntsville, AL

2d ago

$50k - $95k/yr Full time Analytics Aws Data Engineer Aws Data Engineering

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Job Description

Full Visibility LLC is seeking a Jr. Data Engineer in Huntsville, Alabama, supporting the development and delivery of an advanced visual analytics application and related data engineering capabilities. The position is onsite and requires an ACTIVE Top Secret/SCI eligibility, with possible Counterintelligence (CI) Polygraph requirements depending on assignment.

Role Responsibilities

Develop data analytics for desktop and web-based visual analytic software.
Support bulk analysis of relational information using advanced graphics, visualization, and high-performance computing, along with open source, COTS, and GOTS technologies.
Build an application that enables manageable, actionable intelligence from streams of structured and semi-structured data.
Design strategies for enterprise database systems, including standards for operations, programming, and security.
Design and construct large relational databases.
Integrate new systems with existing warehouse structures and refine system performance and functionality.

Required Qualifications

Active Top Secret Clearance/SCI eligibility; successful completion of a Counterintelligence (CI) Polygraph may be required.
Minimum 3 years of experience in a related field.
Bachelor’s degree in a related field, or an additional four (4) years of relevant experience in lieu of a degree.
Experience with Java.
Experience with AWS.
ETL experience.
Experience with Spark / Scala and SQL / PLSQL.
Experience with Postgres.
Experience with NiFi and Informatica.
Linux experience.
Experience building and tuning data pipelines (development, optimization, and tuning).

Technologies

Java
AWS
Spark
Scala
SQL
PLSQL
Postgres
NiFi
Informatica
Linux

Job Details

Location: Huntsville, Alabama, United States (onsite)
Job Type: Full time
Compensation: USD 50,000 - 95,000 per year
Industry: IT Services
Date Opened: 10/15/2026
City/State: Huntsville, Alabama
ZIP Code: 35801

About Full Visibility LLC

Full Visibility LLC is a federally certified Small Business providing innovative technical solutions for the nation’s most critical and sensitive missions. Founded in 2006, the company employs over 100 cleared technical experts across Digital, AI & Analytics, Cyber, and Engineering, with offices in the National Capital Region, Quantico, VA, and Huntsville, AL. Full Visibility is headquartered in Tysons, VA, with additional locations in Chantilly, VA, Quantico, VA, and Huntsville, AL. The company has been included on the Inc. 5000 Fastest-Growing Private Companies in America list eight times since 2014, and is a thirteen-time honoree for Best Place to Work by the Washington Business Journal.