Senior Data Engineer; AWS Glue + Python NewYork, Austin, Charolette – Hybrid

Title: Senior Data Engineer (AWS Glue + Python) |
Type: Contract |
Location: Hybrid

We are hiring a Senior Data Engineer to build and optimize cloud data pipelines on AWS, with deep hands‑on expertise in AWS Glue and Python
. You will develop reliable ETL/ELT workflows, data quality controls, and scalable data processing patterns.

• Build ETL/ELT pipelines using AWS Glue (PySpark/Python), Glue Workflows, and Glue Catalog
• Develop data ingestion and processing using S3
  , Lambda
  , Step Functions
  , Event Bridge
• Implement data modeling and query optimization (Athena/Redshift as applicable)
• Apply data quality checks, lineage/metadata standards, and operational monitoring
• Manage orchestration, retries, alerts, and SLA tracking for pipelines
• Optimize performance and cost (partitioning, compression, job tuning, concurrency)
• Collaborate with stakeholders to translate requirements into scalable data solutions

• 8+ years overall; 4+ years data engineering on AWS
• Strong Python
  , Glue (PySpark), and distributed processing concepts
• Strong with S3
  , Glue Catalog
  , IAM
  , Cloud Watch
• SQL proficiency and experience with data lakes/lakehouse patterns
• Experience building production‑grade pipelines with CI/CD (Git, pipelines)

• Iceberg/Hudi/Delta
  , Lake Formation governance
• Streaming:
  Kinesis
  /
  MSK
  /
  Kafka
• Warehouse:
  Redshift
  , Snowflake