> Markdown version of [/jobs/ext/1958292-senior-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/1958292-senior-data-platform-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 Platform Engineer - **Company:** EITAcies, Inc. - **Location:** Phoenix, AZ, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, BigQuery, Cloud Storage, Data as a Services, Directed Acyclic Graph (Directed Graphs), Data Validation, Information Engineering, Data Infrastructure, Python (Programming Language), Operational Databases, Standard Sql, Cloudera, SQL Databases, Google Cloud, Apache Spark, Fastapi, Pyspark, Api Design, Restful APIs, Data Pipelines - **Published:** August 6, 2026 - **Apply:** https://www.wayup.com/i-j-Senior-Data-Platform-Engineer-Eitacies-Inc-767618665078255/ ## About the Role 6+ years of data engineering experience Strong Python programming skills Production experience with Apache Spark PySpark Experience with Airflow DAG development Hands-on experience with GCP (Dataproc, BigQuery, Cloud Storage preferred) Experience building APIs using FastAPI Strong SQL and data modeling knowledge Experience implementing data quality checks (schema validation, row count checks, anomaly detection) ## Description We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform., Design and maintain Airflow DAGs for production data workflows Develop and optimize Spark / PySpark jobs on Dataproc Build and optimize complex SQL transformations Develop REST APIs using FastAPI Python to support data services Implement robust data quality and validation frameworks Monitor pipeline performance, retries, and SLA compliance ## 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) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)