Senior Data Engineer
Summary
The Senior Data Engineer will design and maintain scalable data pipelines and customer-facing data products using PySpark, Airflow, and AWS technologies. The role involves working with complex SQL and geospatial data to support analytics and data enrichment across various cloud storage platforms.
Digital Envoy (DE) has been the leader in IP geolocation and VPN Intelligence for more than 25 years, serving customers across Streaming Media, AdTech, Cybersecurity, E-commerce, and Data Analytics. Our industry-leading solutions power organizations including Netflix, Hulu, The Trade Desk, PayPal, AWS, Apple, and many others.
Digital Envoy is hiring a a full-time Senior Data Engineer who will support the development and maintenance of sustainable data integration pipelines that enable our team to perform timely analyses. The Data Engineer will also build scalable tools and work with data warehousing systems needed to support customers.
This person can work remotely from any of the following states: California (CA), Colorado (CO), Connecticut (CT), Florida (FL), Georgia (GA), Kentucky (KY), Massachusetts (MA), Michigan (MI), New York (NY), New Jersey (NJ), North Carolina (NC), Pennsylvania (PA), South Carolina (SC), Tennessee (TN), Texas (TX), Virginia (VA), Washington (WA).
Georgia residents are encouraged and welcomed to join us a couple days/week in our Peachtree Corners, Georgia office.
Please note, at this time, Digital Envoy is not sponsoring visas for this position.
What You'll Do:
- Design, build, and maintain customer-facing data products like Matchbook and LocID using PySpark on AWS EMR
- Orchestrate end-to-end Airflow workflows, from supplier data processing to on-demand customer batch requests
- Deliver data products across AWS S3, Snowflake, and Google Cloud Storage, partnering with other engineering teams to enable real-time access
- Write complex SQL (including geospatial) to answer high-value business questions for customers and internal stakeholders
- Develop tooling in Python, Spark, and PostGIS to acquire, curate, and enrich spatial data
- Use modern AI tools like Claude Code to accelerate development, analysis, testing, and documentation