Location: Reston, VA (Hybrid – onsite roughly once every 1–2 months)
Duration: 12-Month Contract
We’re looking for a Lead Data Engineer to build and optimize cloud-based data pipelines supporting large-scale AI and analytics initiatives. You’ll lead the design and implementation of data integration solutions using Ab Initio and AWS services , helping modernize how enterprise data is moved, transformed, and leveraged for AI/ML applications.
Design, develop, and maintain ETL/ELT data pipelines using Ab Initio .
Move structured and unstructured data from on-prem to AWS cloud for AI and analytics workloads.
Work with AWS services such as S3, Athena, Kendra, and Aurora to ensure scalable data storage and access.
Collaborate with architects, data scientists, and developers to deliver reliable and performant data solutions.
Apply best practices for data quality, performance, reliability, and automation .
Lead technical design reviews, mentor engineers, and ensure compliance with enterprise standards.
8+ years of data engineering experience, including leading or mentoring teams.
Proven expertise with Ab Initio development (required).
Hands-on experience building data pipelines in AWS environments .
Strong knowledge of ETL/ELT processes, data modeling, and SQL/NoSQL databases .
Programming skills in SQL, Python, or similar languages .
Excellent communication and problem-solving skills with the ability to collaborate across functions.
Experience supporting AI/ML or data-driven applications .
Familiarity with data lake, data warehouse, and big data technologies .
AWS certifications or cloud data engineering credentials.
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