Senior Aws Data Engineer

Senior AWS Data Engineer

Location:

Baltimore, MD

Salary: $190,000 – $240,000

A Senior AWS Data Engineer designs, builds, and maintains scalable data pipelines (ETL/ELT) on AWS using services like S3, Glue, Redshift, Lambda, with Python/PySpark, SQL for complex transformations, orchestrating with tools like , ensuring data quality, security, governance, and performance optimization for analytics/BI, collaborating with stakeholders to translate needs into robust, cloud‑native data solutions.

• Build, automate, and monitor scalable ETL/ELT data pipelines using Python, PySpark, Spark SQL, and AWS services (S3, Glue, Lambda, EMR, Redshift).
• Design and implement data models, data lakes, data warehouses, and lakehouse architectures for analytics.
• Develop and manage workflows using orchestrators like Airflow, Event Bridge, or AWS Step Functions.
• Tune and optimize data pipelines and queries for speed, cost‑efficiency, and reliability.
• Partner with data scientists, analysts, and business stakeholders to gather requirements and deliver data‑driven solutions.
• Implement data quality checks, security (encryption, access controls), and governance best practices.
• Apply CI/CD, version control (Git), and testing to data workflows.

• AWS: S3, Glue, EMR, Redshift, Lambda, Athena, Kinesis, SNS, SQS.
• Programming:
  Advanced Python (data manipulation, APIs), SQL (expert level).
• Big Data:
  Apache Spark, PySpark.
• Tools:
  Airflow, , , (often).
• Concepts:
  Data Warehousing, Data Lake, Data Modeling, Distributed Systems.

Mid‑Senior level

Full‑time

Information Technology

Software Development