> Markdown version of [/jobs/ext/251875-data-engineer](https://www.wearedevelopers.com/jobs/ext/251875-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:** TechniPros, LLC - **Location:** Overland Park, KS, United States - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Data Deduplication, Data Governance, Data Security, Data Warehousing, Performance Tuning, Query Optimization, Standard Sql, Data Processing, Snowflake, Apache Spark, Pyspark, Data Lineage, Data Pipelines, Databricks - **Published:** May 20, 2026 - **Apply:** https://www.dice.com/job-detail/b6e6781b-774f-4d39-85c0-a728e7bc79cd ## About the Role * Strong experience with Azure services such as ADF and ADLS. * Hands-on experience with Databricks, PySpark, and Spark optimization. * Strong Snowflake experience including data modeling and warehousing. * Excellent SQL coding and query optimization skills. * Experience building scalable and governed enterprise data pipelines. * Knowledge of data governance and pipeline monitoring. ## Description We are looking for a skilled Data Engineer with strong experience in Azure, Databricks, and Snowflake. The candidate will be responsible for building and maintaining scalable data pipelines, optimizing data processing, and ensuring data quality and governance across enterprise platforms., * Design, develop, and maintain large-scale data pipelines using Azure and Databricks. * Work with Snowflake for data warehousing and data modeling. * Develop and optimize PySpark and Spark-based data processing solutions. * Ensure pipeline reliability through validation, deduplication, backfills, and idempotency handling. * Implement data governance, PII handling, data lineage, and Unity Catalog standards. * Perform performance tuning, troubleshooting, and optimization for Spark workloads. * Collaborate with cross-functional teams to support scalable and secure data solutions. * Monitor and improve data quality, compliance, and operational efficiency. ## 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) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## 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) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [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) - [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)