AWS Senior Data Engineer

Description

We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity supporting data initiatives within the automotive industry in Southern California. In this role, you will build and enhance cloud-based data pipelines that power analytics, reporting, and operational decision-making. The position requires strong hands-on experience with AWS data services, scalable processing frameworks, and modern engineering practices to deliver reliable and efficient data solutions.

Responsibilities:

Build, deploy, and support end-to-end data pipelines using AWS services such as Glue, Lambda, Redshift, S3, Athena, and Airflow-based orchestration tools.

Create scalable data processing solutions with Python, PySpark, and Apache Spark to manage large and complex datasets efficiently.

Develop extraction, transformation, and loading workflows that move data accurately into target platforms for reporting and downstream consumption.

Implement data quality controls, validation routines, and exception handling to improve reliability and maintain trusted datasets.

Tune pipeline performance and refine SQL and Redshift workloads to meet service expectations for speed, scalability, and cost efficiency.

Partner with analysts, technical teams, and business stakeholders to convert data needs into practical engineering designs and production-ready solutions.

Maintain clear technical documentation for pipeline logic, data flows, operational processes, and system specifications.

Ensure data integration activities align with governance standards, compliance expectations, and established engineering best practices.

Provide ongoing production support for deployed data solutions and address issues affecting pipeline stability or data availability.

Requirements

5+ years of experience in data engineering, ETL development, database design, and data warehousing environments.
3+ years of hands-on experience with AWS data technologies, including services such as S3, Glue, Athena, Redshift, Spectrum, and workflow orchestration tools.
3+ years of programming experience in Python, Java, or Scala, with strong capability in building data processing applications.
Proven experience working with PySpark, Apache Spark, or similar distributed data processing frameworks.
2+ years of experience with CI/CD tools and deployment practices in a data engineering environment.
Strong understanding of data storage architectures, relational databases, and data lake platforms.
Ability to work onsite in Marysville, Ohio four days per week, with readiness to work onsite on a permanent basis when business needs require.
Experience with Informatica Cloud or emerging AI-driven engineering tools is a plus.

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