Data Engineer
Infinite Consulting
Georgia · Posted October 20, 2026
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Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
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Pay compared with the market
This listing does not state pay. Across 203 open data engineer listings that state pay, the middle half runs $116,500 to $158,500 and the median is $135,000.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among database architects, AI is already used for a large share of the tasks. Measured exposure for database architects: 58% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
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About the job
Senior Data Engineer (AWS, Snowflake, SQL) Experience: 2–4 Years of relevant experience Key Skills: AWS Cloud Services Snowflake Data Warehouse Advanced SQL Python Scripting ETL/ELT Development Data Integration & Optimization Responsibilities: Develop and maintain scalable data pipelines using AWS and Snowflake. Create complex SQL-based data extraction and transformation processes. Build and support data ingestion frameworks from multiple data sources. Develop Python scripts for data processing and automation. Load and manage structured and semi-structured data (CSV, JSON, XML, Parquet, etc.). Ensure data quality, performance optimization, and operational support.