> Markdown version of [/jobs/ext/2044057-data-engineer](https://www.wearedevelopers.com/jobs/ext/2044057-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:** Intersources Inc. - **Location:** Snowflake, AZ, United States - **Experience:** Expert - **Salary:** $145,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Cloud Computing, Information Engineering, Data Governance, Data Vault Modeling, Data Visualization, Meta-Data Management, Microsoft SQL Server, Power BI, Transact-SQL, Snowflake, Pyspark, Data Lineage, Spark Streaming, Databricks - **Published:** August 13, 2026 - **Apply:** https://www.careerjet.com/job/us2bc37e865b9d3703a36a49e152a55527/eaa ## About the Role * Minimum 10+ years of experience in data engineering, analytics, or a related field. * Proven expertise in T-SQL, PySpark, dbt, and Databricks (including Spark Structured Streaming). * Hands-on experience with SQL Server and cloud platforms such as Azure, Fabric, or Snowflake. * Working knowledge of data modeling tools such as Erwin Data Modeler. * Familiarity with Power BI or equivalent BI/visualization tools. * Solid understanding of data governance, metadata management, and data lineage principles. * Experience working within Agile/Scrum delivery frameworks. * Exposure to enterprise data warehousing methodologies such as Data Vault 2.0 or Kimball. * Ability to translate business needs into technical solutions through structured analysis. ## Description Overview: Kentro is seeking a Data Engineer to support the implementation, enhancement, and ongoing administration of a modern Databricks data platform supporting Management Info… + 13 hours ago ## 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) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)