> Markdown version of [/jobs/ext/593636-azure-databricks-engineer](https://www.wearedevelopers.com/jobs/ext/593636-azure-databricks-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). --- # Azure Databricks Engineer - **Company:** eTek IT Services, Inc. - **Location:** New York, United States - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, BigQuery, Data as a Services, Information Engineering, Extract Transform Load (ETL), Python (Programming Language), Cloud Services, SQL Databases, Google Cloud, Snowflake, Apache Spark, Containerization, Pyspark, Git Flow, Kubernetes, Apache Kafka, Docker, Databricks - **Published:** June 22, 2026 - **Apply:** https://www.dice.com/job-detail/e8626951-ea01-425b-9d70-b8a7cfd56805 ## About the Role * 12+ years of professional data engineering experience. * Strong Python, SQL, and Spark (PySpark) skills, and/or Kafka. * Snowflake (Snowpipe, Tasks, Streams) as a complementary warehouse. * Databricks (Delta formats, workflows, cataloging) or equivalent Spark platforms. * Hands-on experience building ETL/ELT with Prefect (or Airflow), dbt, Spark, and/or Kafka. * Experience onboarding datasets to cloud data platforms (storage, compute, security, governance). * Familiarity with Azure/AWS/Google Cloud Platform data services (e.g., S3/ADLSS; Redshift/BigQuery; Glue/ADF). * Git-based workflows CI/CD and containerization with Docker (Kubernetes a plus). ## 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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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)