> Markdown version of [/jobs/ext/3873586-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3873586-senior-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). --- # Senior Data Engineer - **Company:** Digital Envoy, Inc. - **Location:** Peachtree Corners, GA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Amazon S3, Cloud Storage, Cyber Security, Information Engineering, Data Integration, Data Warehousing, Python (Programming Language), Machine Learning, PostGIS, Spatial Data Infrastructures, SQL Databases, Data Processing, Claude Code, Snowflake, Apache Spark, Pyspark, Information Technology, Amazon Elastic Mapreduce (EMR) - **Published:** October 22, 2026 - **Apply:** https://www.thejobnetwork.com/job/20d9c97b-8dcf-4a8c-bad7-8f2754f17171/senior-data-engineer ## About the Role Who You Are: * 7+ years of data engineering or relevant industry experience * 4+ years experience and working proficiency with Spark * Strong Python Skills * Advanced proficiency with SQL, comfortable with complex joins and window functions * Familiarity with orchestration systems, preferably Airflow * Experience with AWS data engineering products (S3, EMR, Athena...) or similar tools from other cloud providers * Self-initiative and an entrepreneurial mindset * Strong communication skills * Passion for data * Bachelor's Degree in Computer Science or related technical areas like Math, Statistics, and/or other Engineering degrees Nice-To-Haves: * Working knowledge of Scala * Proficiency with building Tableau dashboards * Experience with spatial data, joins and operations * Familiarity with Snowflake * Experience with Machine Learning * Background in AdTech or Cybersecurity fields ## Description 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., * 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