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# Senior Data Engineer

- **Company:** Intersources Inc.
- **Location:** Modesto, CA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Amazon Web Services, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Python (Programming Language), SQL Databases, Data Streaming, Working Model 2D, Google Cloud, Azure Data Factory, Information Technology, Luigi, Data Pipelines, Programming Languages, Control M
- **Published:** August 7, 2026
- **Apply:** https://www2.jobdiva.com/portal/?a=62jdnw10t7d77ytz0lbaey9qxonk3b05a9tqw96rb7z6hlfo7xj79l9g6mp6aj2o&compid=0/jobs/23038044#/jobs/23038044

## About the Role

* Strong work ethic, independent problem-solving skills, self-motivated, comfortable with startup culture
 * Excellent and crisp communicator
 * Must have domain experience in supply chain (E-commerce /manufacturing etc), * BS/MS in Computer Science or a related technical field
 * 10+ years of Python or other modern programming language development experience
 * 10+ years of SQL and relational databases experience
 * 10+ years experience in custom ETL design, implementation and maintenance
 * 5+ years of experience with workflow management engines (i.e. Airflow, Luigi, Prefect, Dagster, Digdag, Google Cloud Composer, AWS Step Functions, Azure Data Factory, UC4, Control-M)

## Description

* Design, build and launch efficient & reliable data pipelines to move and transform data (both large and small amounts)
 * Apply proven expertise and build high-performance scalable data warehouses
 * Securely source external data from numerous partners
 * Intelligently design data models for optimal storage and retrieval
 * Deploy inclusive data quality checks to ensure high quality of data
 * Optimize existing pipelines and maintain of all domain-related data pipelines
 * Ownership of the end-to-end data engineering component of the solution
 * Experience in creation of data pipelines using Python.
 * Python for data manipulation & transformation (python dictionaries, data frames, data stream, joins of all kinds, outside of SQL IDEs)
 * Research skills - go figure it out and come back with working model. Pros/cons analysis skills


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