> Markdown version of [/jobs/ext/4627943-data-engineer](https://www.wearedevelopers.com/jobs/ext/4627943-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:** HeartCentrix Solutions
- **Location:** Fort Worth, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Business Analytics Applications, Software Applications, Microsoft Azure, Big Data, Cloud Engineering, Information Systems, Data Stores, Data Systems, Database Queries, DevOps, Python (Programming Language), Microsoft SQL Server, MongoDB, Oracle (Applications), Power BI, Standard Sql, Azure Data Lake, Software Engineering, SQL Databases, Teradata SQL, Enterprise Software Applications, Azure Data Factory, Snowflake, Data Lakes, Pyspark, Information Technology, Cassandra, Data Analytics, Data Management, Stream Analytics, Data Pipelines, Serverless Computing, Powerapps, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.thejobnetwork.com/job/12b3ac30-e2da-4941-98da-e5962b713fcc/data-engineer

## About the Role

· Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent experience

· Strong SQL skills for data analytics

· Python development experience

· Azure cloud development experience, including Event Hub, Data Factory, Databricks, Blob Storage, Power BI, and Azure Functions

· Databricks and PySpark experience

· Software development experience using Agile and DevOps practices, including large-scale applications or data engineering solutions

· Experience with data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer

· Data lake experience, primarily in Microsoft Azure

Preferred Qualifications

· Software solution development in a product model using Agile and DevOps practices

· Full-stack development experience, preferably in Azure

· Experience with Azure Stream Analytics, Azure Data Explorer, Azure DevOps, Azure Data Lake, and Azure Power Apps, The ideal candidate is a hands-on data engineer with strong SQL, Python, and PySpark skills and deep Azure and Databricks experience. They build scalable, reliable data solutions, work comfortably across multiple data platforms, and collaborate well in an Agile, DevOps environment.

## Description

We are seeking a Senior Data Engineer to design, develop, and implement large-scale data engineering solutions on Microsoft Azure. This role combines strong SQL and Python skills with hands-on Databricks and PySpark experience, working across modern cloud data platforms and traditional data stores to deliver reliable analytics solutions in an Agile, DevOps-driven environment. This is a hybrid position with a regular onsite presence., · Design, develop, and implement large-scale applications and data engineering solutions using Agile and DevOps practices

· Build and maintain data pipelines and data lake solutions on Microsoft Azure using services such as Event Hub, Data Factory, Databricks, Blob Storage, Azure Functions, and Power BI

· Develop data analytics solutions using SQL and PySpark

· Work with data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, Snowflake, ADLS, and Azure Data Explorer

· Contribute to full-stack and cloud development efforts, preferably in Azure

· Support analytics and reporting needs across the business