> Markdown version of [/jobs/ext/2548944-databricks-with-python](https://www.wearedevelopers.com/jobs/ext/2548944-databricks-with-python). 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). --- # Databricks with python - **Company:** Siri InfoSolutions Inc - **Location:** Jersey City, NJ, United States - **Experience:** Expert - **Salary:** $170,000.0 - $200,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Big Data, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Relational Databases, Database Queries, Software Debugging, Apache Hive, Python (Programming Language), Performance Tuning, Unstructured Data, Workflow Management Systems, Git, Data Lakes, Pyspark, Data Lakehouse, Data Pipelines, Databricks - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/usf8608cb4f652aa883260d62993d1e7cb ## About the Role 10+ years of experience in Data Engineering, Data Warehousing, or Big Data development. 5+ years of hands-on experience with Databricks, Python, and PySpark. Strong hands-on experience in Databricks, Python, and PySpark development. Experience building and supporting large-scale ETL/ELT data pipelines. Strong knowledge of Spark SQL, Delta Lake, and Data Lakehouse architecture. Experience working with structured and unstructured data from multiple sources. Strong SQL skills and experience with relational databases. Experience with data modeling, data transformation, and data quality processes. Knowledge of orchestration tools such as Airflow, ADF, or similar. Experience with Git, CI/CD, and Agile development methodologies. Strong analytical, debugging, and performance tuning skills. Excellent verbal and written communication skills. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [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) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)