> Markdown version of [/jobs/ext/3989003-data-engineer](https://www.wearedevelopers.com/jobs/ext/3989003-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Genesis10 - **Location:** Fairfax, VA, United States - **Salary:** $96,304.0 - $112,944.0 - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Amazon S3, Big Data, Continuous Integration, Data Integrity, Relational Databases, Python (Programming Language), PostgreSQL, MySQL, Pyspark, Data Lineage, Apache Kafka, Data Delivery, Data Pipelines, Amazon Elastic Mapreduce (EMR) - **Published:** October 28, 2026 - **Apply:** https://www.dice.com/job-detail/6f602d43-ce56-4e5d-9367-b7b9db92d6a1 ## About the Role * Expert-level proficiency in Python and PySpark * Deep hands-on experience with AWS Glue and Amazon EMR * Proven track record of building scalable pipelines for large-scale data (Terabyte-scale preferred) * Demonstrated experience implementing frameworks for Data Lineage and Data Quality * Strong experience working with S3-based lakes and relational databases (RDS/PostgreSQL/MySQL) Desired skills: * Experience within the Financial Services industry * Experience with Kinesis or Kafka integration for low-latency data delivery * Familiarity with CI/CD for data pipelines and Infrastructure as Code ## Description Genesis10 is currently seeking a Data Engineer for a contract position with a Major Financial Institution located in McLean, VA. This is a 6+ month contract opportunity. This role focuses on designing and implementing high-performance, large-scale data pipelines. The ideal candidate will leverage expert-level proficiency in Python and PySpark within an AWS ecosystem (Glue, EMR) to build scalable solutions and ensure data integrity through advanced quality checks. Responsibilities: * Designing and implementing high-performance data pipelines that handle large volumes of data * Ensuring data integrity through advanced quality checks and lineage tracking