> Markdown version of [/jobs/ext/4623882-data-engineer](https://www.wearedevelopers.com/jobs/ext/4623882-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:** Kforce Inc.
- **Location:** Irving, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Automation of Tests, Microsoft Azure, Code Review, Information Systems, Continuous Integration, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Security, Data Systems, Data Warehousing, Relational Databases, Distributed Computing Environment, Python (Programming Language), Machine Learning, Standard Sql, Software Engineering, SQL Databases, Data Streaming, Data Processing, Data Server Interface, Cloud Platform System, Apache Spark, Git, Data Lakes, Pyspark, Information Technology, Operational Systems, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5XUUd-MjE5MzYwMVQxfjk5/

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, Information Systems, Engineering, Mathematics, Statistics, or a related field, or equivalent practical experience
 * 3-5 years of experience in data engineering, software engineering, or a related technical role
 * Strong proficiency with Python and SQL
 * Experience with Spark/PySpark or similar distributed data processing technologies
 * Experience developing ETL/ELT pipelines within cloud environments such as Azure or AWS
 * Understanding of data modeling, relational databases, data lakes, data warehouses, and incremental processing
 * Experience with workflow orchestration tools such as Apache Airflow, Databricks Workflows, or similar technologies
 * Familiarity with streaming or event-driven data processing concepts
 * Experience with Git, automated testing, monitoring, and production troubleshooting
 * Strong problem-solving, communication, and collaboration skills with the ability to independently manage assigned work

## Description

* Build, maintain, and enhance scalable batch and near-real-time data pipelines using Python, SQL, and Spark/PySpark
 * Integrate data from applications, operational systems, APIs, event streams, and other sources into reliable, analysis-ready datasets
 * Develop data transformations across structured and semi-structured data sources
 * Create and maintain data models and curated datasets supporting analytics, reporting, machine learning, and application workflows
 * Partner with technical teams to develop data interfaces and support AI/ML and advanced analytics use cases
 * Implement data quality checks, reconciliation processes, monitoring, and alerting to ensure data accuracy and reliability
 * Troubleshoot pipeline failures and performance issues while supporting retries, backfills, and incremental processing
 * Optimize data processing solutions for performance, scalability, and cost efficiency
 * Collaborate with product, analytics, data science, and engineering teams to translate business requirements into practical data solutions
 * Follow established data security, privacy, access control, and retention requirements
 * Develop maintainable and tested code, participate in code reviews and CI/CD processes, and maintain technical documentation