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Data Engineer

General Dynamics Information Technology Mechanicsburg, PA

Mechanicsburg, PA

Today

$130k - $167k/yr Full time Data Data Engineer Engineer

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Job Description

The Data Engineer will design, build, deploy, and maintain data architectures, pipelines, and databases within the AWS GovCloud environment to support mission-critical government programs.

Location

Mechanicsburg, PA (onsite)

Compensation

USD 129,813 - 166,750 per yearly

Role Overview

Working within a multidisciplinary team of Data and Cloud Architects, Engineers, and Administrators, this role focuses on creating, deploying, and sustaining robust data architectures and databases in the AWS GovCloud setting to meet government program requirements.

Responsibilities

Collaborate with a team of data and cloud professionals to design, build, deploy, and maintain data architectures and databases in AWS GovCloud.
Develop, test, and maintain high performance, scalable data architectures and large-scale processing systems, migrate data from on-premises databases to cloud-based solutions, and transform data as needed.
Build and maintain scalable data pipelines and API integrations, ensuring pipelines are scalable, repeatable, and secure.
Deploy and manage databases and data delivery systems and translate them into insights, analysis, and reporting.
Identify and promote solutions that enhance the modern development environment to align with business needs and industry best practices.
Implement data extraction, load, and synchronization routines and ETL processes.
Establish data governance and quality controls and monitor ETL/ELT jobs to maintain performance and address issues promptly.
Improve system performance through testing, troubleshooting, and integration of new components while ensuring confidentiality and privacy requirements are met.
Collaborate with data scientists, architects, and stakeholders to ensure the data infrastructure supports required functions and performance metrics.
Design, model, document, and manage the logical and conceptual relationships of data and database changes.
Document data architecture and systems for both technical teams and non-technical stakeholders.
Conduct technical planning, system integration, verification and validation, and cost and risk assessments.

Requirements

Security Clearance Level: Active Top Secret clearance
Experience: 10+ years of prior data engineering experience
Experience implementing data warehousing concepts, ETL processes and tools (for example, Pentaho)
Experience developing and administrating in PostreSQL
Strong proficiency in SQL and experience with other querying languages
Experience in decomposing Oracle PL/SQL stored procedures and triggers to migrate to Amazon Aurora DB, Postgres, or MySQL
Hands-on expertise in data modeling, schema design, and database optimization for production environments
Knowledge of data security and compliance best practices
Experience with GitLab, Liquibase, and CI/CD pipelines is highly preferred
Experience with big data technologies such as Apache Hadoop, Spark, Kafka, Debezium, or RabbitMQ
Demonstrated experience in network and cyber security design, engineering, and operations with emphasis on Navy capabilities
Prior Navy experience
Experience with cloud data services (AWS, Azure, GCP)
Experience with Cloud Relational Database Services (AWS RDS, Aurora DB)
SAFe experience and knowledge
Experience with data warehousing and BI tools such as RedShift, MicroStrategy, Erwin Data Modeler, etc.
Experience with one or more programming languages such as Python, Java, Scala, or Go
Excellent verbal and written communication skills for interaction with technical and non-technical stakeholders
Self-starter with the ability to work independently with minimal supervision
8570/8140 IAT II CompTIA Security+ CE
Computing Environment Certification: AWS Certified Solutions Architect or AWS Certified Data Engineer or similar cloud certification, or Oracle Database Certified Associate or equivalent (highly preferred to have at start; if not, must obtain within 3 months of start)
Work Location: Mechanicsburg, PA or Yorktown, VA
U.S. Citizenship Required

Technologies

AWS GovCloud
Pentaho
PostreSQL
Postgres
SQL
Oracle PL/SQL
Amazon Aurora DB
MySQL
AWS
Azure
GCP
AWS RDS
Aurora DB
RedShift
MicroStrategy
Erwin Data Modeler
Python
Java
Scala
Go
GitLab
Liquibase
CI/CD
Apache Hadoop
Spark
Kafka
Debezium
RabbitMQ

Benefits

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

Work Requirements

10+ years of related experience
May vary based on technical training, certification(s), or degree
CompTIA Security+ CE
AWS Certified Solutions Architect - Associate or AWS Certified Data Engineer, or similar cloud certification
Less than 10%
U.S. Citizenship Required

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Today

Cloud Data Engineer

S&N Infrastructure Louisa, VA

Louisa, VA

Today

$95k+/yr Full time Cloud Data Data Engineer

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Job Description

S&N Infrastructure is seeking a Cloud Data Engineer to architect, build, and sustain Azure-based data pipelines and Power BI solutions as part of an ERP cloud migration. This role focuses on delivering a robust data foundation, scalable semantic models, and executive-ready reporting to support strategic decisions. The position is hybrid and based in Louisa, Virginia, offering the chance to collaborate across multiple entities as the organization scales.

Responsibilities

Develop and scale the cloud data foundation that underpins enterprise reporting and analytics.
Design and operate reliable data pipelines linking ERP and other business-critical systems with an emphasis on reliability, maintainability, and performance.
Own end-to-end data ingestion, transformation, storage, and orchestration across the data platform.
Maintain a dependable, high-performing environment that can grow with the business.
Serve as a key technical contributor on the ERP cloud migration project.
Lead governance and evolution of the Power BI environment, including workspace structure, deployment standards, security, and performance optimization.
Create, optimize, and maintain datasets, dataflows, models, and business-critical reports.
Collaborate with stakeholders to translate reporting needs into actionable insights.
Develop scalable semantic models, DAX measures, and data layers to support informed decision-making.
Uphold governance standards and manage secure user access across the Power BI platform.
Set and enforce standards for data quality, consistency, and trust across the platform.
Build and maintain data dictionaries, lineage documentation, and metadata that scale with the organization.
Monitor platform health, troubleshoot issues promptly, and implement proactive alerting.
Collaborate with business teams to improve data accuracy and confidence in reporting.
Engage with business leaders to understand priorities and shape reporting solutions that matter.
Translate business questions into intuitive data models, dashboards, and visual insights.
Foster adoption through training, guidance, and documentation for Power BI users.
Work with software development and IT teams on application and integration data needs.
Support data-related priorities and roadmap discussions alongside IT leadership.

Requirements

Hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Data Lake Gen2, and Azure Synapse Analytics (serverless SQL).
Experience configuring, deploying, and monitoring Self-Hosted Integration Runtime (SHIR), with heartbeat alerting.
Strong knowledge of Change Data Capture (CDC) on SQL Server for near real-time inserts, updates, and deletes.
Proven track record building and supporting ADF incremental pipeline patterns in production, including LSN watermark logic from on-premises SQL to Azure.
Familiarity with Delta Parquet / Delta Lake architecture, including raw-to-curated layer design.
Experience building unified analytical views with Azure Synapse serverless SQL.
Deep Power BI experience across administration and development—DirectQuery, composite models, governance, datasets, dataflows, DAX, and semantic layers.
Platform monitoring with Azure Monitor, SQL Agent alerts, SHIR heartbeat, and Power BI freshness dashboards.
Strong ETL/ELT pipeline development with ADF, including incremental loads, watermarking, and orchestration.
Advanced SQL and T-SQL for data modeling, transformation logic, and cross-database analytics.
Implementing and managing Change Data Capture (CDC) on SQL Server 2016+.
Designing data lake architectures using raw-to-curated Delta format patterns.
Python or PySpark for data processing and transformation.
Integrating ERP data into reporting and analytics environments.
5+ years in data engineering or BI development.
Ability to work independently, make sound technical decisions, and own critical deliverables with limited oversight.
Comfort working in a growing, multi-entity environment with evolving priorities.
dbt or other SQL-based transformation framework experience in a modern analytics stack.
Azure DevOps and CI/CD experience for data pipelines, release management, and environment promotion.
Experience implementing Power BI governance standards, deployment pipelines, row-level security, and usage monitoring.
Experience with Microsoft Fabric, Power Automate, or broader Azure ecosystem.
Background in acquisition-heavy, multi-entity, or fast-scaling organizations with complex reporting needs.
Prior experience supporting ERP modernization, cloud migration, or enterprise reporting transformation.

Technologies

Azure Data Factory
Azure Data Lake Gen2
Azure Synapse Analytics (serverless SQL)
Self-Hosted Integration Runtime (SHIR)
Change Data Capture (CDC) on SQL Server
Delta Parquet
Delta Lake
Azure Synapse serverless SQL
Power BI
DirectQuery
DAX
Dataflows
SQL Server
Python
PySpark
dbt
Azure DevOps
Microsoft Fabric
Power Automate
SQL Agent
Azure Monitor

Benefits

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

Pay

From USD 95,000 per year

Location

Louisa, VA 23093 (hybrid)

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Today

Data Engineer

CGI Federal Seattle, WA

Seattle, WA

Today

$63k - $153k/yr Full time Data Analysis Data Engineer Data Governance

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Job Description

CGI Federal seeks a Data Engineer onsite in Seattle, WA to enhance human machine collaboration and deliver data driven strategies that improve performance across Air Force missions, with work located at Joint Base Lewis McChord. The position offers a salary range of USD 62,900 to 153,300 per year.

Responsibilities

Oversee and coordinate the collection, normalization, and standardized analysis of data assets across multiple projects and platforms, collaborating with internal teams and external partners.
Design, maintain, evaluate, and test data solutions throughout the organization.
Develop and implement governance plans, policies, and practices to protect, deliver, and enhance the value and integrity of data assets and programs.
Ingest, store, process, and analyze raw and complex data from diverse sources; recommend practical data applications; select and design optimal data solutions; build data processing systems using data warehousing expertise and modern database technologies.
Maintain and monitor data quality within the architecture used across the enterprise; report results and propose system changes to improve data quality across applications.
Investigate data quality issues, perform root cause analysis, correct errors, and develop prototypes and process improvement plans across programs, including proofs of concept for chosen solutions.
Transform unstructured data into analysis-ready formats and conduct analyses; integrate algorithms into the organization’s data systems in collaboration with the engineering team.
Deliver complex data projects focused on collecting, parsing, managing, analyzing, and visualizing large data sets to generate insights across multiple platforms.
Define hardware and software design needs and execute decisions accordingly to support data initiatives.
Serve as a data subject matter expert, partnering with business owners or external clients to define analysis plans and deliver reporting results and insights.

Requirements

Bachelor's degree and at least eight years of related experience.
U.S. citizenship and an active Secret security clearance are required.
Experience collecting, compiling, normalizing, and performing standard analyses across diverse data platforms.
Experience developing, maintaining, evaluating, and testing data solutions.
Proficiency in building data pipelines that collect, store, process, and analyze structured and unstructured data.
Knowledge of data warehousing concepts, architectures, and database technologies.
Ability to design, implement, and manage complex data processing projects.
Strong analytical skills to generate insights, operational reports, and data-driven recommendations.
Ability to collaborate with stakeholders and act as a data subject matter expert.
Excellent communication skills for presenting complex analytical findings to varied audiences.
Outstanding problem solving abilities and meticulous attention to detail.
Proven ability to work independently and effectively in a collaborative, mission focused environment.
Experience working with the Air Force.
Familiarity with medical data and HIPPA requirements.
Understanding of data governance, data protection, and data management policies.
Experience developing prototypes, process improvement plans, and proofs of concept solutions.
Skilled at integrating algorithms and innovations into operational data systems.
Familiarity with hardware and software decision making for data architecture needs.
Ability to assess and improve data quality and investigate root causes of issues.

Benefits

Competitive compensation with a profit participation program.
Comprehensive medical, dental, and vision benefits.
Basic life insurance and accidental death and dismemberment coverage.
401(k) plan with matching contributions and a CGI share purchase plan.
Flexible and paid accrued vacation leave, 10 to 20 days per year based on role, experience, and tenure.
Up to 80 hours of floating holiday leave per year.
A minimum of 80 consecutive hours of paid sick or safe leave, subject to local law.
Paid parental leave ranging from 20 to 70 consecutive business days depending on circumstances and laws.
Bereavement leave from 1 to 7 days per year depending on relationship.
Paid jury duty leave as required by time summoned.
Learning opportunities and tuition assistance.
Wellness and well-being programs.

Skills

Data Engineering
Change Management
Defense

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Today

Sr Databricks Data Engineer

Deloitte Nashville, TN

Nashville, TN

Today

$138k - $194k/yr Full time Analytics Azure Azure Data Lake Storage

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Job Description

Senior Databricks Data Engineer in Deloitte's AI and Data practice, onsite in Nashville, TN, with a salary range of USD 137,500 to 193,600 per year.

Responsibilities

Establish and promote leading practices for data architecture, integration, and modelling across projects
Own the end-to-end design, development, and ongoing maintenance of scalable data pipelines and architectures for enterprise data needs
Lead initiatives to improve data quality, operational efficiency, and scalability of data processes
Evaluate, pilot, and integrate emerging big data and analytics technologies; mentor and develop teams of data engineers and architects
Advise on and implement governance, security, and compliance strategies for cloud data ecosystems
Convey technical concepts and business value to executives, business leads, and technology teams
Oversee CI/CD implementations using Azure DevOps, AWS CodePipeline, Jenkins, TFS, and PowerShell to streamline deployments and operations
Provide clear technical guidance to teammates and stakeholders

Requirements

Ability to work independently and collaboratively within a team
Strong written and verbal communication skills
Keen attention to detail and commitment to high-quality deliverables
Ability to build and sustain professional relationships
Experience leading projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced environment
Strong interpersonal skills and professional demeanor
Proven ability to meet deadlines
Bachelor's degree in Computer Science, Engineering, or a related field
5+ years of hands-on data engineering with a focus on Databricks on AWS, Azure, or GCP
Experience with Lakehouse architecture, Apache Spark, Delta Lake, cloud-native databases, storage solutions, and distributed compute platforms
Experience with data warehousing, third normal form (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark
1+ year leading complex, cross-functional data projects and technical teams, including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of pipelines, code, and compute resources
Ability to travel up to 50% on average
Limited immigration sponsorship may be available
Master's degree in Computer Science, Engineering, or a related field
Experience across AWS, Azure, and/or GCP cloud ecosystems and related big data services
Experience tuning and optimizing performance in Databricks and Apache Spark environments
Experience with Databricks Lakeflow
Experience with artificial intelligence and machine learning solutions

Technologies

Databricks platform and Databricks Lakeflow
Lakehouse architecture and Delta Lake
Apache Spark and PySpark
AWS, Microsoft Azure, and Google Cloud Platform (GCP) cloud ecosystems
Cloud-native databases, storage solutions, and distributed compute platforms
Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Unity Catalog
CI/CD tooling: Azure DevOps, AWS CodePipeline, Jenkins, TFS, PowerShell
Data warehousing and ETL concepts related to 3NF and dimensional modeling

Benefits

Discretionary annual incentive program

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Today

Sr Databricks Data Engineer

Deloitte McLean, VA

McLean, VA

Today

$138k - $194k/yr Full time Analytics Azure Big Data

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Job Description

Senior Databricks Data Engineer role in Deloitte's AI & Data practice, based in McLean, VA (onsite), focused on designing, building, and optimizing cloud data engineering solutions on Databricks to modernize data platforms and enable analytics and AI across the enterprise.

Responsibilities

Establish and promote best-in-class data architecture, integration, and modeling practices; document guidelines and share across teams.
Oversee the design, development, and ongoing maintenance of scalable data pipelines and architectures supporting enterprise data needs.
Lead initiatives to improve data quality, boost operational efficiency, and scale data processes.
Evaluate, pilot, and integrate new big data and analytics technologies; coach and develop teams of data engineers and architects to ensure successful project delivery.
Consult on and implement governance, security, and compliance strategies for modern cloud data ecosystems.
Communicate complex technical concepts and business value to executives, business leads, and technology teams.
Guide the implementation of CI/CD pipelines using tools such as Azure DevOps, AWS CodePipeline, Jenkins, TFS, and PowerShell to streamline deployments and operations.
Provide clear guidance to teammates and stakeholders.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of hands-on data engineering experience with Databricks on AWS, Azure, or GCP.
Proficiency with Lakehouse architectures, Apache Spark, Delta Lake, cloud-native storage solutions, and distributed compute platforms.
Experience in data warehousing (3NF), dimensional modeling, enterprise data lakes, incremental data loads, and metadata-driven ingestion and data quality frameworks using PySpark.
At least 1 year leading complex cross-functional data projects and technical teams, including Delta Live Tables, Autoloader, Structured Streaming, Databricks Workflows, Apache Airflow, Unity Catalog, automated CI/CD pipelines, and performance optimization of pipelines, code, and compute resources.
Ability to travel approximately 50 percent based on client needs.
Limited immigration sponsorship may be available.

Technologies

Databricks
Azure DevOps
AWS Code Pipeline
Jenkins
TFS
PowerShell
Delta Lake
Apache Spark
PySpark
Delta Live Tables
Autoloader
Structured Streaming
Databricks Workflows
Unity Catalog
Apache Airflow
Databricks Lakeflow
AWS
Azure
GCP

Benefits

Discretionary annual incentive program, subject to program rules and individual and organizational performance.

The Team

Deloitte's Core AI & Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and AI capabilities across the business.
The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation.
Practitioners collaborate across business and technology functions to solve challenges in data modernization, governance, platform engineering, and insight delivery.

Preferred Qualifications

Master's degree in Computer Science, Engineering, or related field.
Experience across AWS, Azure, and GCP cloud ecosystems with associated big data services.
Proven ability to tune and optimize performance in Databricks and Apache Spark environments.
Experience with Databricks Lakeflow.
Experience with artificial intelligence and machine learning solutions.

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Today

Enterprise Integration and Data Engineer

PN Automation, Inc. Baltimore, MD

Baltimore, MD

Today

Up to $140k/yr Full time Backend Developer Analytics Api Integration

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Job Description

PN Automation, Inc. is seeking an Enterprise Integration and Data Engineer to design APIs, data ingestion pipelines, and integration services that advance enterprise interoperability and mission-aware decision intelligence. The role includes prototyping dashboards and supporting demonstrations, tests, and deployments across enterprise systems and cloud services, with the work performed onsite in Baltimore. A current Top Secret clearance and U.S. citizenship are required, with a salary of USD 140,000 annually.

Responsibilities

Create and evolve RESTful APIs and integration services.
Build data ingestion, transformation, and processing pipelines.
Implement prototype integrations across enterprise systems and cloud platforms.
Assist with enterprise data modeling and data correlation activities.
Develop dashboards and visualization capabilities.
Support testing, demonstrations, and technical evaluations.
Contribute to technical documentation and prototype deployment tasks.

Requirements

Bachelor’s degree in computer science, Information Systems, Software Engineering, or a related discipline.
5+ years of experience in software engineering, enterprise integration, or data engineering.
Experience with Python, Java, Node.js, or similar development technologies.
Experience developing REST APIs and microservices.
Experience with cloud platforms such as AWS and/or Azure.
Experience building ETL pipelines and data integration solutions.

Technologies

Python
Java
Node.js
AWS
Azure
SAP
ServiceNow
Oracle
MuleSoft
Celonis
Power BI
Tableau
Grafana

Benefits

401(k)
401(k) matching
Dental insurance
Health insurance
Paid time off
Retirement plan
Vision insurance

Security and eligibility requirements

U.S. Citizens with active TS Security Clearance.

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Today

Data Engineer

Professional Staffing Services Group Orlando, FL

Orlando, FL

Today

$90k - $100k/yr Full time Python Apache Airflow Big Data

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Job Description

Data Engineer role in Orlando, FL onsite, focused on collecting, storing, processing, analyzing, and modeling large datasets to power data-driven applications and scalable analytics across the organization.

Responsibilities

Design, implement, test, deploy, and maintain stable, secure, and scalable data engineering solutions and pipelines, including integrating new sources into the central data warehouse and moving data out to applications and affiliates.
Maintain, monitor, and optimize analytics data warehouses and the overall data platform.
Provide hands on development, deployment, maintenance, and support for a mix of cloud and on premise solutions, web service infrastructures, and supporting technologies.
Produce scalable, replicable code and engineering solutions to automate repetitive data management tasks.
Collaborate with project managers, business analysts, data scientists, and key stakeholders to translate business requirements into technical specifications and ensure data infrastructure meets business needs.
Continuously evaluate the technical strategy, identify performance gaps, and design creative solutions.

Requirements

Bachelor's degree in Computer and Information Science required; master's degree preferred.
Snowflake and Python certifications are highly preferred but not required.
Excellent interpersonal, communication, and problem solving skills; exceptionally organized with strong attention to detail, systemic thinking, and a collaborative, team-oriented mindset.
3+ years of related data engineering or IT experience.
Proven experience with Apache Spark, Hadoop, Java/Scala, Python, and AWS architecture.
Experience with Microsoft .NET technologies (C#, VB.Net) and designing, developing, and deploying Windows and Web applications.
Experience in data modeling and database development using PL/SQL, SQL Server (2016 or later), and Snowflake; strong working knowledge of relational databases and SQL.
Proven experience building data pipelines, APIs, and ETL flows in cloud and on premise environments using tools like Snowpipe, Informatica, Airflow, and Kafka.
Track record of manipulating, processing, and extracting value from large, disconnected, or unstructured datasets, with the ability to perform root cause analysis on data processes to identify business opportunities.