Lead Data Engineer
TechotlistContract
Required Skillset:
PythonAgileScrumS3RedshiftLake Formationdata warehousingSQLdata modelingperformance tuningAWS Gluedata lakesPySparkManaged Airflow (MWAA)
Job Description
Lead Data Engineer – W2 Role
Location: Onsite – Seattle, WA
Duration: Long-Term Contract
Employment: W2
Client: Amazon
Role Overview:
We are seeking a Lead Data Engineer to drive the design, development, and optimization of large-scale data platforms for Amazon. This role combines hands-on technical expertise with technical leadership, owning end-to-end data pipelines and guiding engineering best practices across teams.
Key Responsibilities:
Lead the architecture, design, and development of scalable ETL pipelines using AWS Glue
Own data workflow orchestration using Managed Airflow (MWAA)
Write, review, and optimize SQL, Python, and PySpark code for high-performance data processing
Design and manage data platforms using Amazon Redshift, S3, and data lakes
Implement data governance, security, and cataloging using AWS Glue & Lake Formation
Mentor and guide junior data engineers; conduct code reviews and enforce best practices
Partner with analytics and reporting teams to support QuickSight and Tableau
Drive CI/CD and infrastructure automation using AWS CDK and Amazon Build Tools
Monitor, troubleshoot, and optimize pipelines for performance, reliability, and cost
Collaborate with product owners, architects, and business stakeholders to define data strategy and requirements
Required Qualifications:
Bachelor’s degree in Computer Science, Data Engineering, or related field
6–10+ years of experience in data engineering or ETL development
Strong hands-on experience with AWS Glue, Redshift, S3, Lake Formation
Advanced programming skills in SQL, Python, and PySpark
Proven experience with Managed Airflow (MWAA) or similar orchestration tools
Strong understanding of data modeling, data warehousing, and performance tuning
Experience working in Agile/Scrum environments
Excellent leadership, communication, and problem-solving skills
Nice to Have:
Experience leading data engineering teams or initiatives
Exposure to large-scale enterprise or cloud-native data platforms
Prior experience with Amazon or similar large tech organizations
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