> Markdown version of [/jobs/ext/3111964-data-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3111964-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). --- # 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:** September 27, 2026 - **Apply:** https://www.juju.com/job/16_898a8cbc ## 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) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Build your backend using FastAPI](https://www.wearedevelopers.com/videos/506-build-your-backend-using-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) ## 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) - [The Best X (Twitter) Accounts for Developers](https://www.wearedevelopers.com/magazine/294-the-best-x-twitter-accounts-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it)