Ignite IT - Innovation & Technology

Data Engineering Lead

Ignite IT - Innovation & Technology

full-time

Posted on:

Location Type: Hybrid

Location: Suitland-Silver Hill • Maryland • United States

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Job Level

Senior

Tech Stack

AWSCloudETLPostgresPython

About the role

  • The Data Engineering Lead is responsible for designing and implementing modern, scalable data architectures to support migration of legacy, file-based analytical systems to AWS Cloud Native environments.
  • This role leads the transformation of legacy SAS-based data storage models—including flat files, batch outputs, and subsystem-specific data artifacts—into structured, governed, and scalable data models optimized for cloud-native processing.
  • The Data Engineering Lead will ensure data integrity, performance, and visibility across a system-of-systems modernization initiative, while providing technical leadership for data modeling, ingestion patterns, validation frameworks, and transparency reporting.
  • Expert-level proficiency in Python and strong experience designing AWS-based data architectures are required.
  • Architect scalable AWS data pipelines using services such as S3, Glue, Lambda, EventBridge, SNS/SQS, Aurora/Postgres, Batch, Athena.
  • Develop advanced Python-based data transformation and validation pipelines.

Requirements

  • 8+ years of experience in data engineering or data architecture.
  • Expert-level proficiency in Python for data engineering.
  • Demonstrated experience transforming legacy file-based systems into cloud-native data architectures.
  • Experience developing data models for high-volume, data-intensive applications.
  • Deep experience with AWS data services (Glue, Lambda, S3, Aurora/Postgres, EventBridge, etc.).
  • Experience designing scalable ETL/ELT pipelines.
  • Experience building analytical dashboards (e.g., QuickSight or equivalent).
  • Experience implementing automated data validation and quality controls.
  • Experience working in Agile Scrum Teams.
  • U.S. Citizenship required.
  • Preferred Qualifications
  • Experience modernizing SAS-based data environments.
  • Experience supporting system-of-systems integration programs.
  • Experience implementing data lineage and metadata management.
  • Experience operating in regulated or federal environments.
Benefits
  • 401(k) with matching and 100% Vested
  • Health Insurance - 3 plans to select from
  • Dental insurance
  • Vision Insurance
  • Health savings account
  • Life insurance
  • Short Term Disability
  • Long Term Disability
  • AD&D
  • Paid time off
  • Professional development assistance
  • Training
  • Tuition reimbursement
  • Flexible schedule
  • Flexible spending account
  • Referral program
  • Paid Legal Plan
  • and more....
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Pythondata engineeringdata architecturedata modelingETLELTdata transformationdata validationcloud-native processingdata integrity
Soft Skills
technical leadershipcommunicationcollaborationproblem-solvingorganizational skills