Data Scientist (Data Engineer)

Mid - Senior Data Engineer

EpochGeo is looking for a mid or senior level Data Engineer to support one of the most exciting and growing automated analytic projects in the national security space.

Are you a Data Engineer who loves to work with data, build pipelines, and deliver data products that empower actionable intelligence? Are you a software engineer who enjoys working with data infrastructure, both cloud-based and on-premise? If so, please reach out to us at EpochGeo to chat.

Location-based big data can be overwhelming, inaccessible, and noisy. EpochGeo is a data services firm specializing in supporting the full spectrum data cycle: beginning with scalable data storage and ending in producing impactful analytics. Our developers, analysts, and data scientists have a proven track record applying open-source innovative technology, data science, and actionable analytics to inform customers’ data driven decisions. As a Data Engineer on our team, you will have the opportunity to enable our data professionals to meet our customers’ mission requirements.

Your background likely includes:

• 4 - 10 years of experience working with data: data analytics, science, or engineering; or as a software engineer building data-intensive applications
• Education or military experience in Computer Science, Data Science, etc.
• Experience building, maintaining, and monitoring extract, transform, and load (ETL) pipelines
• Experience with Apache Airflow, or familiarity with workflow orchestration via a similar product
• Experience writing production-grade code with Python and Spark (we use PySpark)
• Experience with Amazon Web Services (AWS), our current stack makes use of: EMR (Spark, Hive, and Trino), EC2, S3, Lambda, Athena, and RDS
• Experience in any of the following disciplines is a plus: Linux systems administration, platform/infrastructure engineering, DevOps

What you will be doing:

• Interacting with data scientists, analysts, and collectors to gauge requirements and make multiple big datasets more readily accessible
• Building, maintaining, and monitoring data pipelines in AWS
• Contributing to custom Python libraries that enable analysts and Data Scientists to access data at scale
• Exploiting big data environments for insights that can be automated at scale
• Working in a dynamic environment with ever evolving requirements.

Bonus:

• Master’s degree in Computer Science or Data Science
• Demonstrable experience with Apache Spark via any API
• Familiarity with the “data lakehouse” concept and open-table formats, e.g. Hudi, Iceberg, and Delta

Additional:

• Must hold a TS/SCI clearance and be willing to submit for a CI Poly

Benefits Include:

• 100% health care premiums covered, FSA, HSA
• 401k: 6% match, immediate vesting
• 14 holidays: All 11 Federal holidays, day after Thanksgiving, 24 DEC, 31 DEC
• PTO: 4 weeks annually
• 3 week sabbatical every 3 years with the company