> Markdown version of [/jobs/ext/3951061-data-engineer](https://www.wearedevelopers.com/jobs/ext/3951061-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:** Spectraforce - **Location:** McLean, VA, United States (Remote available) - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Amazon Web Services, Amazon S3, Big Data, Databases, Continuous Integration, Data Integrity, Relational Databases, DevOps, Python (Programming Language), PostgreSQL, MySQL, Real Time Systems, Pyspark, Data Lineage, Apache Kafka, Data Delivery, Data Pipelines, Amazon Elastic Mapreduce (EMR) - **Published:** October 27, 2026 - **Apply:** http://leoforce.us/Careers/Spectraforce/JobDetails.html?jobid=42cc8671-6828-408f-b6eb-218f9690b65a&OrgId=1&UserId=4794 ## About the Role * Core Languages: Expert-level proficiency in Python and PySpark. * AWS Ecosystem: Deep hands-on experience with AWS Glue and Amazon EMR. * Big Data Architecture: Proven track record of building scalable pipelines for large-scale data (Terabyte-scale preferred). * Data Integrity: Demonstrated experience implementing frameworks for Data Lineage and Data Quality. * Database Knowledge: Strong experience working with S3-based lakes and relational databases (RDS/PostgreSQL/MySQL). Preferred Experience * Industry: Experience within the Financial Services industry is a huge plus. * Real-time Processing: Experience with Kinesis or Kafka integration for low-latency data delivery. * DevOps: Familiarity with CI/CD for data pipelines and Infrastructure as Code. ## Description * Designing and implementing high-performance data pipelines that handle large volumes of data * Ensuring data integrity through advanced quality checks and lineage tracking