General Dynamics Information Technology
AI/ML Data Engineer
General Dynamics Information Technology, Falls Church, Virginia, United States, 22042
Overview
AI DATA ENGINEER SENIOR
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a AI Data Engineer Senior at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.
Meaningful Work and Personal Impact As an AI Data Engineer Senior, the work you’ll do at GDIT will be impactful to the mission of GSA. We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and pipelines, with demonstrated experience incorporating Generative AI into data engineering workflows. The ideal candidate will have deep expertise in Databricks data engineering capabilities including Delta Lake, data pipelines, and Unity Catalog, combined with innovative use of GenAI for enhancing data quality, metadata generation, and workflow automation. You will work collaboratively with data scientists, AI engineers, and analytics teams to design and implement robust data infrastructure that powers AI/ML initiatives. Additionally, you will play a key role in establishing data engineering best practices and mentoring team members in modern data platform technologies.
What You’ll Need to Succeed Bring your expertise and drive for innovation to GDIT. The AI Data Engineer Senior must have:
Education: Bachelor of Science
Experience: 5+ years of related experience
Technical skills: Databricks Data Engineering, Delta Lake, GenAI-Enhanced Workflows, Python, PySpark, AWS
Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Databricks and PySpark for AI/ML and analytics workloads
Leverage Databricks core data capabilities including Delta Lake, Delta Live Tables, and Databricks Workflows to create reliable, high-performance data platforms
Implement GenAI-enhanced data workflows for automated metadata generation, data cataloging, data quality validation, and intelligent data profiling
Utilize LLMs to generate documentation, create data dictionaries, and automate schema inference and data lineage tracking
Design and implement medallion architecture (Bronze, Silver, Gold layers) following data lakehouse best practices
Collaborate with data architects to establish data modeling standards, governance policies, and data quality frameworks
Integrate AWS data services (S3, Glue, Kinesis, MSK, Redshift) with Databricks to build end-to-end data solutions
Leverage and integrate into Unity Catalog or other data catalogs/access management tools in the enterprise for data governance, access control, and data asset management across the platform
Optimize data pipeline performance through partitioning strategies, caching, and query optimization techniques
Establish DataOps and MLOps practices including version control, CI/CD for data pipelines, and automated testing
Create reusable data transformation frameworks and libraries to accelerate data pipeline development
Collaborate with AI/ML teams to prepare, curate, and serve high-quality datasets for model training and inference
Implement real-time and batch data processing architectures to support diverse analytics and AI use cases
Stay current with emerging data engineering technologies, GenAI capabilities, and Databricks platform enhancements
Document data architectures, pipeline designs, and operational procedures for knowledge sharing and compliance
Required Skills
5+ years of proven experience as a Data Engineer with focus on building large-scale data platforms and pipelines
3+ years of hands-on experience with Databricks platform, specifically data engineering features (Delta Lake, DLT, Workflows, Unity Catalog)
2+ years of experience incorporating Generative AI into data engineering workflows (metadata generation, data quality, documentation)
5+ years of strong proficiency in Python and PySpark for distributed data processing
3+ years of experience with AWS data services (S3, Glue, Lambda, Kinesis, Redshift, Athena)
Deep understanding of data lakehouse architecture, Delta Lake ACID transactions, and time travel capabilities
Proven experience with SQL optimization, data modeling, and dimensional modeling techniques
Strong knowledge of data orchestration tools and workflow management (Airflow, Databricks Workflows)
Experience implementing data quality frameworks and validation rules at scale
Understanding of data governance, data lineage, and metadata management principles
Excellent problem-solving skills with ability to debug complex data pipeline issues
Strong communication skills to collaborate with data scientists, analysts, and business stakeholders
Experience working in Agile environments with version control (Git) and CI/CD practices
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
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
Own your opportunity
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
The likely salary range for this position is $140,250 - $189,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
Telecommuting Options:
Hybrid
Work Location:
USA VA Falls Church
Total Rewards at GDIT:
Our benefits package for all US-based employees includes medical, dental, vision plans, and a 401(k) with company match. We offer flexible work weeks where possible and various paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. We provide disability, life, accidental death and dismemberment, and other benefits as available. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. We operate across 50 countries worldwide, offering capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Join our Talent Community to stay updated on career opportunities at gdit.com/tc . Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
#J-18808-Ljbffr
Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As a AI Data Engineer Senior at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward.
Meaningful Work and Personal Impact As an AI Data Engineer Senior, the work you’ll do at GDIT will be impactful to the mission of GSA. We are seeking a highly skilled and motivated Sr. AI Data Engineer with a proven track record in building scalable data platforms and pipelines, with demonstrated experience incorporating Generative AI into data engineering workflows. The ideal candidate will have deep expertise in Databricks data engineering capabilities including Delta Lake, data pipelines, and Unity Catalog, combined with innovative use of GenAI for enhancing data quality, metadata generation, and workflow automation. You will work collaboratively with data scientists, AI engineers, and analytics teams to design and implement robust data infrastructure that powers AI/ML initiatives. Additionally, you will play a key role in establishing data engineering best practices and mentoring team members in modern data platform technologies.
What You’ll Need to Succeed Bring your expertise and drive for innovation to GDIT. The AI Data Engineer Senior must have:
Education: Bachelor of Science
Experience: 5+ years of related experience
Technical skills: Databricks Data Engineering, Delta Lake, GenAI-Enhanced Workflows, Python, PySpark, AWS
Responsibilities
Design, build, and maintain scalable data pipelines and ETL/ELT workflows using Databricks and PySpark for AI/ML and analytics workloads
Leverage Databricks core data capabilities including Delta Lake, Delta Live Tables, and Databricks Workflows to create reliable, high-performance data platforms
Implement GenAI-enhanced data workflows for automated metadata generation, data cataloging, data quality validation, and intelligent data profiling
Utilize LLMs to generate documentation, create data dictionaries, and automate schema inference and data lineage tracking
Design and implement medallion architecture (Bronze, Silver, Gold layers) following data lakehouse best practices
Collaborate with data architects to establish data modeling standards, governance policies, and data quality frameworks
Integrate AWS data services (S3, Glue, Kinesis, MSK, Redshift) with Databricks to build end-to-end data solutions
Leverage and integrate into Unity Catalog or other data catalogs/access management tools in the enterprise for data governance, access control, and data asset management across the platform
Optimize data pipeline performance through partitioning strategies, caching, and query optimization techniques
Establish DataOps and MLOps practices including version control, CI/CD for data pipelines, and automated testing
Create reusable data transformation frameworks and libraries to accelerate data pipeline development
Collaborate with AI/ML teams to prepare, curate, and serve high-quality datasets for model training and inference
Implement real-time and batch data processing architectures to support diverse analytics and AI use cases
Stay current with emerging data engineering technologies, GenAI capabilities, and Databricks platform enhancements
Document data architectures, pipeline designs, and operational procedures for knowledge sharing and compliance
Required Skills
5+ years of proven experience as a Data Engineer with focus on building large-scale data platforms and pipelines
3+ years of hands-on experience with Databricks platform, specifically data engineering features (Delta Lake, DLT, Workflows, Unity Catalog)
2+ years of experience incorporating Generative AI into data engineering workflows (metadata generation, data quality, documentation)
5+ years of strong proficiency in Python and PySpark for distributed data processing
3+ years of experience with AWS data services (S3, Glue, Lambda, Kinesis, Redshift, Athena)
Deep understanding of data lakehouse architecture, Delta Lake ACID transactions, and time travel capabilities
Proven experience with SQL optimization, data modeling, and dimensional modeling techniques
Strong knowledge of data orchestration tools and workflow management (Airflow, Databricks Workflows)
Experience implementing data quality frameworks and validation rules at scale
Understanding of data governance, data lineage, and metadata management principles
Excellent problem-solving skills with ability to debug complex data pipeline issues
Strong communication skills to collaborate with data scientists, analysts, and business stakeholders
Experience working in Agile environments with version control (Git) and CI/CD practices
GDIT IS YOUR PLACE
At GDIT, the mission is our purpose, and our people are at the center of everything we do.
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
Own your opportunity
Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.
The likely salary range for this position is $140,250 - $189,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.
Scheduled Weekly Hours:
40
Travel Required:
Less than 10%
Telecommuting Options:
Hybrid
Work Location:
USA VA Falls Church
Total Rewards at GDIT:
Our benefits package for all US-based employees includes medical, dental, vision plans, and a 401(k) with company match. We offer flexible work weeks where possible and various paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. We provide disability, life, accidental death and dismemberment, and other benefits as available. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. We operate across 50 countries worldwide, offering capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Join our Talent Community to stay updated on career opportunities at gdit.com/tc . Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
#J-18808-Ljbffr