> Markdown version of [/jobs/ext/2222251-data-engineer](https://www.wearedevelopers.com/jobs/ext/2222251-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:** Minneapolis, MN, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Apache HTTP Server, Microsoft Azure, Big Data, Data Architecture, Information Engineering, Data Governance, Extract Transform Load (ETL), Python (Programming Language), Standard Sql, Google Cloud, Snowflake, Generative AI, Git, Build Management, Data Lakes, Pyspark, Apache Kafka, Data Lakehouse, Data Pipelines, Docker, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/2c9f7060-4d73-43a8-86e2-25bbf0b46e6d ## About the Role · Python · SQL · Databricks · PySpark · Snowflake · Delta Lake · Apache Iceberg · dbt · Apache Airflow · Git · Docker · Azure / AWS / Google Cloud Platform Preferred Skills: · Unity Catalog · Kafka · Data Mesh · Data Lakehouse · Great Expectations Mandatory Skills: · Databricks · PySpark · Snowflake · Delta Lake · Apache Iceberg · dbt · SQL · Python · Airflow · ETL/ELT ## Description We are seeking a Senior Data Engineer with expertise in modern Lakehouse architecture, Databricks, Delta Lake, Snowflake, and Apache Iceberg. The ideal candidate will design and build scalable cloud-native data platforms supporting enterprise analytics, AI/ML, and Generative AI initiatives., · Design enterprise Lakehouse architecture. · Build scalable ETL/ELT pipelines using Databricks. · Develop PySpark applications for large-scale data processing. · Build data models using dbt. · Implement Delta Lake and Apache Iceberg. · Optimize Snowflake performance. · Build batch and streaming pipelines. · Develop reusable data engineering frameworks. · Implement data governance and quality. ## 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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## 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) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)