> Markdown version of [/jobs/ext/135687-data-engineer](https://www.wearedevelopers.com/jobs/ext/135687-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). --- # Data Engineer - **Company:** CYNET SYSTEMS INC. - **Location:** Torrance, CA, United States - **Salary:** $114,400.0 - $124,800.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Cloud Computing Security, Data as a Services, Extract Transform Load (ETL), Data Warehousing, Identity and Access Management, Python (Programming Language), SQL Databases, Data Streaming, Build Management, Data Lakes, Pyspark, Data Pipelines - **Published:** May 15, 2026 - **Apply:** https://www.dice.com/job-detail/435dabff-7c09-46a6-9a8f-291d2f5fcaf7 ## About the Role * Strong hands-on experience with AWS data services (S3, Glue, Redshift, Lambda, EMR). * Proficiency in Python / PySpark and SQL. * Experience with data lakes and data warehouses. * Knowledge of batch and streaming data processing. * Understanding of AWS IAM and cloud security concepts. ## Description * Design and build end-to-end data pipelines on AWS. * Develop and optimize ETL/ELT workflows. * Implement data models for analytics and reporting. * Ensure data quality, performance, security, and reliability. * Collaborate with architects, analysts, and business teams. Nice to Have: * Experience with Airflow / Step Functions. * Exposure to Lakehouse (Iceberg / Delta Lake). * AWS certification (Data Engineer or Solution Architect). ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [WeAreDevelopers LIVE - CSS is DOOMed](https://www.wearedevelopers.com/videos/1838-wearedevelopers-live-css-is-doomed) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Dev Digest 162: AI careers, MCP, AWS best practices & floppy sweaters](https://www.wearedevelopers.com/magazine/571-dev-digest-162-ai-careers-mcp-aws-best-practices-floppy-sweaters) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)