Database

Database Jobs

753 jobs found

24d ago

Data Engineer

DCI Solutions Washington, DC

Washington, DC

24d ago

$175k - $260k/yr Full time Big Data Bigdata Data Analysis

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Job Description

DCI Solutions is looking for a Data Engineer to join their onsite team in Washington, DC. This role centers on integrating data, transforming insights, and building Spark-driven data workflows and applications to inform operational decisions within a cross-functional environment.

Responsibilities

Collaborate on a cross-functional team to tackle high-priority data challenges as a Data Engineer
Integrate data, transform insights, and develop applications that support operational decision-making
Set up transfers of data feeds from source systems into designated locations
Create data transformations and derive new datasets using Spark for distributed computing
Monitor build progress and diagnose issues to maintain workflow reliability
Design applications that address real-world operational questions
Handle RFIs related to the platform’s data footprint
Iterate with product teams while debugging and understanding the code behind the core platform

Requirements

Bachelor’s degree in Computer Science or Engineering or a related field is preferred
3+ years of experience in data transformation
3+ years of experience in data engineering
3+ years of experience in software engineering
Experience with Spark, PySpark, and/or Pandas
Extensive Python programming experience
Extensive Java programming experience
Extensive TypeScript/JavaScript development experience
Strong understanding of algorithms and data structures as they apply to development and problem solving
Experience with Foundry is preferred
Active DoD Secret Clearance is required

Technologies

Spark
PySpark
Pandas
Python
Java
TypeScript/JavaScript
Foundry

Benefits

401(k)
401(k) matching
Dental insurance
Flexible schedule
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Relocation assistance
Retirement plan
Tuition reimbursement
Vision insurance

Experience (Preferred)

Data engineering: 5 years
Python coding/programming: 5 years
Building and managing data pipelines: 5 years
Data transformation: 5 years
Foundry: 1 year
Spark and/or PySpark: 3 years

Security Clearance

Secret (Required)

Location

Washington, DC (onsite)

Job Type

Full-time

Salary

Salary: USD 175,000 - 260,000 per year

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24d ago

Databricks Data Engineer

Deloitte Seattle, WA

Seattle, WA

24d ago

$87k - $171k/yr Full time Azure Databricks Big Data Data Analysis

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Job Description

Deloitte is seeking a Databricks Data Engineer to join its Seattle on-site team. The role centers on designing, building, and optimizing cloud-based data engineering solutions with Databricks and Spark to enable large-scale data transformation and data-driven decision making across client engagements. You will collaborate with business and technology colleagues to modernize data environments and support analytics and AI use cases, with a salary range of USD 86,700 to 170,900 per year.

Responsibilities

Design, build, and maintain data pipelines and engineering solutions using Databricks, Apache Spark, Python, and SQL
Support modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
Develop and maintain batch and streaming data workflows that underpin reporting, analytics, and artificial intelligence use cases
Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support large-scale data transformation programs

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
3+ years of experience in data engineering, ETL development, or data platform engineering
2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and SQL
Experience implementing data models, data integration patterns, and cloud-based data processing workflows
Experience working with at least one cloud platform: AWS, Azure, or GCP
Ability to travel about 50% on average, depending on client assignments
Limited immigration sponsorship may be available

Technologies

Databricks, Apache Spark, Python, SQL
Delta Lake, Databricks Workflows, Unity Catalog
Git, CI/CD pipelines
AWS, Microsoft Azure, Google Cloud Platform (GCP)

The Team

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

Preferred

Experience with Delta Lake, Databricks Workflows, and Unity Catalog
Experience using Git-based version control and CI/CD pipelines
Experience supporting batch and streaming data workloads
Experience with data warehousing, lakehouse architecture, and performance optimization
Experience supporting analytics or machine learning data pipelines
Experience working in consulting or client service delivery environments

Information for applicants with a need for accommodation

Information is available at the following Deloitte page: Join Deloitte assistance for disabled applicants

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24d ago

Data Engineer

Navy Federal Credit Union Vienna, VA

Vienna, VA

24d ago

$78k - $123k/yr Full time Analytics Azure Data Factory Azure Synapse Analytics

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Job Description

Benefits and culture

Join Navy Federal Credit Union as a Data Engineer and contribute to a collaborative, stability-minded environment that prioritizes growth and impact. This on site role, based in Vienna, VA, offers a competitive salary range of USD 78,400 – 123,200 per year and the opportunity to work closely with Lending data to design, build, and optimize reliable data pipelines. The organization is repeatedly recognized for workplace excellence, including Fortune 100 Best Companies to Work For in 2026 and Computerworld Best Places to Work in IT 2026, among other awards that reflect a commitment to culture, trust, and professional development. On-site opportunities also extend to Pensacola, FL, with standard Monday through Friday hours.

Responsibilities

Build and maintain data pipelines and workflows that support business and data initiatives
Design scalable pipelines for data collection, integration, and storage
Create scripts, stored procedures, and automation jobs to automate data loads and processes
Implement data processing tasks and uphold data integrity and reliability
Optimize existing data workflows for performance and efficiency
Ensure data quality and performance at scale across data platforms
Maintain high availability, scalability, and reliability of data systems
Apply query optimization techniques including execution plan analysis, indexing, and partitioning
Collaborate with team members and business units on projects and data initiatives
Contribute to the development and enforcement of data engineering standards, policies, and best practices
Support data governance, metadata management, and data quality initiatives
Assist with database administration activities, including upgrades and migrations
Support reporting and analytics use cases, including Power BI development
Participate in Agile ceremonies and contribute to backlog refinement and delivery planning
Continuously improve processes and identify opportunities for automation and optimization

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
5+ years of experience in data engineering or a related field
Strong experience with SQL, XML/JSON, SSIS, Azure (Synapse, Data Factory, Databricks) and PySpark
Strong experience with data integration, data processing tools, and ETL frameworks
Experience developing scripts, stored procedures, and automation jobs
Experience with query optimization, execution plans, indexing, and partitioning
Understanding of data warehousing concepts and data system design
Working knowledge of data engineering principles, technologies, and architectures
Working knowledge of Azure DevOps backlogs and Agile delivery (SAFe, Scrum, Kanban)
Working knowledge of SQL Server administration and database upgrades/migrations
Basic knowledge of Power BI reporting and data visualization
Strong problem solving, communication, and collaboration skills

Technologies

SQL
XML/JSON
SSIS
Azure Synapse
Azure Data Factory
Azure Databricks
PySpark
Power BI
Azure DevOps
SQL Server

Hours

Monday to Friday, 8:00 AM to 4:30 PM

Locations

820 Follin Lane, Vienna, VA 22180
5550 Heritage Oaks Drive, Pensacola, FL 32526

About Navy Federal Credit Union

Fortune 100 Best Companies to Work For 2026
Yello and WayUp Top 100 Internship Programs 2025
Computerworld Best Places to Work in IT 2026
Most Loved Workplace – America’s Top Most Loved Workplaces 2025
2025 PEOPLE Companies That Care
Newsweek Most Trustworthy Companies in America 2026
Military Times 2025 Best for Vets Employers
Forbes 2026 America’s Best Large Employers
Forbes 2025 America’s Best Employers for New Grads
Forbes 2025 America’s Best Employers for Tech Workers
2025 RippleMatch Campus Forward Award Winner for Overall Excellence
Military.com Top Military Spouse Employers 2025
2026 Handshake Early Talent Award
Newsweek America’s Greatest Workplaces for Culture, Belonging and Community 2026

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24d ago

Senior AWS Software Data Engineer

Boeing Hazelwood, MO

Hazelwood, MO

24d ago

$161k - $217k/yr Full time Amazon Web Services AWS Azure Cloud

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Job Description

Senior AWS Software Data Engineer on Boeing's Digital Analytics and System Health (DASH) team in Hazelwood, MO, focusing on designing, implementing, and scaling AWS data services, governance, and warehousing to support large-scale digital analytics for Boeing Global Services.

Responsibilities

Lead the end-to-end design, development, testing, and ongoing maintenance of cloud data solutions that meet industry standards, customer needs, safety, and regulatory requirements
Analyze and translate customer requirements into initial designs for software data products
Coordinate development, maintenance, enhancement, and optimization of software data products and system integrations
Develop, document, and maintain architectures, requirements, and designs for software data products
Debug and drive timely resolution of issues to ensure reliability and performance of data products
Research and implement current and emerging technologies, tools, frameworks, and regulatory changes relevant to software development
Establish and monitor software data processes, tools, and key performance metrics that align projects with organizational goals and industry benchmarks
Execute and document software data research and development projects
Consult on software domains, system-specific issues, processes, and regulations

Requirements

Bachelor Degree
Ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship
8+ years of experience with Data Engineering and/or Software Development
5+ years of experience designing, implementing, and integrating big data platforms
5+ years of experience designing and implementing scalable computing infrastructure for data solutions, including cloud architectures (AWS, Azure, Google Cloud)
3+ years of experience deploying and managing distributed systems on at least one cloud platform (e.g., Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP))
3+ years of experience with the configuration of Application Programming Interfaces (APIs) for data ingestion

Technologies

AWS
S3
SQS
Lambda
DynamoDB
OpenSearch
RedShift
Tanzu (formerly PCF)
DocumentDB
Python
JavaScript
SQL
Jira
Git
Azure
Google Cloud Platform (GCP)

Benefits

Health insurance
Flexible spending accounts
Health savings accounts
Retirement savings plans
Life and disability insurance programs
Paid time away from work
Unpaid time away from work

Drug Free Workplace

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies

CodeVue Coding Challenge

To be considered for this position you will be required to complete a technical assessment as part of the selection process. Failure to complete the assessment will remove you from consideration

Compensation

Summary pay range: $160,650 - $217,350
Total Rewards package includes competitive base pay and variable compensation opportunities
Eligible employees may enroll in a variety of benefit programs, often including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs

Export Control Requirements

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a 'U.S. Person' as defined by 22 C.F.R. §120.62 is required. 'U.S. Person' includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee

Export Control Details

US based job, US Person required

Education

Bachelor's Degree or Equivalent Required

Relocation

This position offers relocation based on candidate eligibility

Security Clearance

This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required

Visa Sponsorship

Employer will not sponsor applicants for employment visa status

Shift

1st shift

Equal Opportunity Employer

Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law

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24d ago

Data Engineer II, IAM and Abuse Prevention

Amazon.com Services LLC Seattle, WA

Seattle, WA

24d ago

$132k - $179k/yr Full time Abuse Prevention Ai Ml Amazon Emr

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Job Description

Data Engineer II, IAM and Abuse Prevention at Amazon builds scalable data pipelines and ML-ready datasets to power security investigations and abuse prevention across Amazon.

Responsibilities

Design, implement, and maintain scalable ETL/ELT pipelines to ingest and transform security telemetry, authorization logs, compliance data, and operational metrics from diverse Amazon sources.
Develop and optimize data models that enable security engineers and scientists to efficiently query and analyze abuse patterns across billions of events.
Create ML-ready datasets for data science and applied science teams.
Own monitoring, alerting, and observability for all data pipelines and solutions, proactively addressing data quality issues.
Review and modernize existing data infrastructure, proposing architectural improvements to boost reliability, reduce costs, and enhance performance.
Design and build new data capabilities from the ground up to support product launches and investigation team needs.
Partner with security engineers, scientists, and investigators to understand data requirements and deliver solutions that accelerate abuse detection and response.
Collaborate with data scientists and applied scientists to support AI and AI-agent centric solutions, ensuring data engineering underpins model training and inference.
Utilize GenAI and ML tools to improve workflows, automate pipeline operations, and strengthen data quality processes.
Develop a deep understanding of partner teams and capabilities, identifying opportunities to ingest new signals and provide intelligence data to downstream consumers.

Requirements

3+ years of data engineering experience.
1+ year of developing and operating large-scale BI data structures for analytics using ETL/ELT processes.
1+ year of developing and operating large-scale BI data structures for analytics using OLAP technologies.
1+ year of developing and operating large-scale BI data structures for analytics using data modeling.
1+ year of developing and operating large-scale BI data structures for analytics using SQL.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience with AWS technologies such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.

Technologies

Redshift
S3
AWS Glue
EMR
Kinesis
FireHose
Lambda
IAM
Hadoop
Spark
SQL

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave
Sign-on payments
Restricted stock units (RSUs)
Adoption and surrogacy reimbursement coverage
Flexible Spending Accounts
Employee Assistance Program (EAP)
Mental health support
Medical Advice Line

About the Team

The ISAP SafeGuard team blends long term, high impact work with near term innovative solutions to prevent abuse across Amazon.
We value Bias for Action, Dive Deep, Invent and Simplify, and Customer Trust in daily work.
We embrace new approaches, technologies, and innovation while ensuring our solutions are scalable, accurate, and drive action.
We work with some of the most sensitive data at Amazon, which requires careful engineering, strict access controls, and a strong sense of responsibility.

Diverse Experiences

Amazon Security welcomes diverse backgrounds. If you do not meet every listed qualification, we encourage you to apply. Nontraditional paths or early career stages should not deter your candidacy.

Why Amazon Security

Security is central to maintaining customer trust and delivering exceptional experiences. The organization sets a high standard for security across Amazon’s products and services.
Opportunities to grow across areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.

Inclusive Team Culture

A culture of learning and curiosity, with ongoing DEI events and programs to celebrate diverse ideas, perspectives, and voices.

Training & Career Growth

Continuous performance development with knowledge sharing and career-advancing resources to broaden expertise.

Work/Life Balance

Flexible work hours and arrangements designed to support work life harmony.

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24d ago

Principal AI / Machine Learning Data Engineer

UnitedHealth Group Eden Prairie, MN 🇺🇸 Remote

Eden Prairie, MN

24d ago

$113k - $193k/yr Full time Ai Ml Analytics Artificial Intelligence

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Job Description

The Principal AI / Machine Learning Data Engineer role at UnitedHealth Group focuses on designing and building end-to-end AI pipelines for large-scale unstructured data to enable advanced analytics and Generative AI. Located in Eden Prairie, MN with remote work options, this position sits at the crossroads of data engineering and AI, delivering production-grade data platforms and scalable AI capabilities.

Responsibilities

Design, implement, and sustain scalable data pipelines and platforms that support analytics, machine learning, and AI initiatives
Develop and optimize ingestion frameworks for both structured and unstructured data, including streaming and event-driven sources
Collaborate with cross-functional partners to understand evolving data and AI needs and define long-term technical roadmaps
Support and enable ML and AI workflows, including feature engineering, data preparation, and model deployment assistance
Lead strategic programs around Generative AI, data quality, observability, lineage, and governance
Create and maintain frameworks that enable rapid experimentation and deployment of AI/ML solutions
Promote and evolve best practices in data modeling, orchestration, testing, and monitoring
Identify opportunities to improve platform scalability, performance, and cost efficiency
Partner with product, analytics, and infrastructure teams to deliver impactful data and AI solutions
Develop reusable parsing, enrichment, analytics, and service libraries to accelerate delivery across teams
Operate effectively under time-sensitive conditions while ensuring thoroughness and accuracy
Maintain high ethical standards, objectivity, and confidentiality in all work
Build and operate production data platforms and pipelines across batch and streaming workloads
Hands-on engineering in Python and SQL, with experience in JVM languages (Java/Scala) within Spark ecosystems
Work with distributed processing and lakehouse/warehouse patterns (for example Spark/PySpark, Databricks, Snowflake)
Develop pipelines for OCR, document parsing, and text extraction from image-based or scanned data
Enable production Generative AI solutions, including retrieval patterns and evaluation/monitoring practices
Adopt knowledge-centric data approaches (metadata-driven systems, entity resolution, graph concepts) to improve discoverability
Maintain a data quality, observability, and monitoring mindset with profiling, validation, alerting, and reliability improvements
Orchestrate, implement CI/CD, containerization, and infrastructure-as-code with tools such as Airflow, GitHub Actions, Docker, Terraform, and Kubernetes
Work in cloud environments (AWS, Azure, or GCP), ensuring secure handling of sensitive data (PII/PHI) and collaboration with compliance teams
Provide leadership through influence, mentor engineers, and translate ambiguous problems into scalable technical roadmaps

Requirements

Bachelor's degree or equivalent experience
5+ years designing, building, and operating scalable data pipelines and platforms (batch and streaming)
2+ years deploying Generative AI solutions to production (for example RAG, LLM-powered pipelines, semantic search)
Strong hands-on development experience in Python and SQL, with Spark/PySpark and Databricks or similar distributed platforms
Experience building ingestion and processing frameworks for unstructured data, including OCR, documents, and images, with parsing and enrichment
Proficiency with cloud platforms (AWS, Azure, GCP), DevOps/CI/CD, and infrastructure-as-code, including secure handling of sensitive data
Proven ability to design scalable solutions, implement data quality and observability practices, and collaborate with diverse stakeholders

Technologies

Python
SQL
Spark
PySpark
Java
Scala
Databricks
Snowflake
AWS
Azure
Google Cloud Platform (GCP)
Kafka
Kinesis
Event Hubs
Airflow
GitHub Actions
Docker
Terraform
Kubernetes
Delta Lake
Plotly
Seaborn
Chartjs
Great Expectations
Deequ

Benefits

Comprehensive benefits package
Incentive and recognition programs
Equity stock purchase opportunities
401k contribution

Preferred Qualifications

Experience with cloud platforms such as AWS, Azure, or Google Cloud, including managed data services
Experience with streaming and event-driven architectures (Kafka, Kinesis, Event Hubs)
Experience with data quality and validation frameworks and data observability tooling
Experience enabling MLOps practices, including feature stores, model registries, experiment tracking, and deployment automation
Experience with lakehouse architectures, Delta Lake, and Spark performance tuning
Experience with data visualization libraries such as Plotly, Seaborn, and Chartjs
Experience with machine learning and predictive analytics
Familiarity with security and privacy concepts for data platforms and collaboration with compliance partners
Strong hands-on Python and SQL skills; familiarity with Java/Scala in Spark ecosystems

Application Deadline

The posting will remain active for at least two business days or until a sufficient candidate pool is reached. The listing may be withdrawn earlier if applicant volume is high.

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24d ago

Data Engineer

Amazon.com Services LLC Seattle, WA

Seattle, WA

24d ago

$132k - $179k/yr Full time Analytics AWS Big Data

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Job Description

The Data Engineer II will join the Prime Video Product Analytics (PVPA) team in Seattle, onsite, to build and maintain data infrastructure and ETL pipelines for out-of-app and full-funnel customer journey analytics. This role supports analytics, experimentation, ML use cases, and personalization through robust data tooling and reliable pipelines. The position offers a salary range of USD 132,100 to 178,800 per year.

Responsibilities

Design, implement, and maintain scalable data models and ETL pipelines that span the full customer funnel, including the reporting layer for the out-of-app messaging platform and other PV marketing channel infrastructure.
Develop and enhance AI tooling and analytics products to support self-service and improved efficiency.
Collaborate with engineering and dependency teams to define data contracts, ensure upstream data reliability, and coordinate changes for data schema updates.
Work with Business Intelligence Engineers and Data Scientists to deliver clean, structured data for dashboards, experimentation, full-funnel attribution, and ML use cases.
Monitor pipeline health, troubleshoot jobs and clusters, and advance automation, testing, and observability to strengthen system resilience.
Promote data engineering best practices across the team, including documentation, version control, peer reviews, and operational excellence.

Requirements

Minimum of 3 years of data engineering experience
Experience with data modeling, data warehousing, and building ETL pipelines
At least 3 years analyzing and interpreting data with Redshift, Oracle, NoSQL databases, and related technologies
Proficiency in SQL

Technologies

Redshift
Oracle
NoSQL
SQL
Amazon S3
AWS Glue
EMR
Kinesis
Firehose
Lambda
IAM

Benefits

Health coverage including medical, dental, vision, prescription drugs, Basic Life and AD&D insurance with option for supplemental life plans, EAP, mental health support, medical advice line, flexible spending accounts, and adoption or surrogacy reimbursement
401(k) matching
Paid time off
Parental leave
Sign-on payments and restricted stock units (RSUs)