Data Engineer (Python & Snowflake) (W2 only)

Data Engineer (Python & Snowflake) (W2 only) At least 10+ years of experience working with various Data Engineering tools. Work as an individual contributor who can run with requirements and handle end-to-end data engineering and data warehousing tasks in an AWS and Snowflake environment. Diverse experience with both ETL and ELT processes.

Python

– Extensive development in Python to automate ETL processes and build/manage data pipelines. Understanding of Python best practices, error handling, and code repository management.

Informatica

– Experience with on-prem and cloud versions of Informatica (IICS) ETL tools.

Data Warehouse Skills

– Work with cloud‑based data warehouse tools like Snowflake, knowledge of data ingestion, data lakes, and analytics. Experience with Python or PySpark based ETL/ELT development/automation.

AWS

– Extensive knowledge of AWS data platform services: S3, Glue, EC2, CloudWatch, etc.

Scheduling Tool

– Experience with Control‑M or other relevant scheduling tools.

Seniority Level

Mid‑Senior Level

Employment Type

Contract

Job Function

Information Technology

Industry

Banking

Location & Salary Dallas, TX – $90,000.00-$95,000.00 (3 weeks ago)

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