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# Data Engineer

- **Company:** Select Minds LLC
- **Location:** Dallas, TX, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Kubernetes Security, Agile Methodology, Amazon Web Services, Business Analytics Applications, Unit Testing, Big Data, Cloud Computing, Software Quality, Continuous Integration, Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Systems, JSON, Simple Data Format, SQL Databases, Extensible Markup Language (XML), Parquet, Reliability of Systems, Servicebus, Data Lakes, Data Management, Data Delivery, Data Pipelines
- **Published:** August 9, 2026
- **Apply:** https://www.wayup.com/i-j-Data-Engineer-Select-Minds-LLC-746472617474367/

## About the Role

Intermediate-level expertise in cloud infrastructure and Data Lake environments
Strong ETL experience ensuring end-to-end source-to-target data integrity
Proficiency with multiple file formats, including Delimited Text, Fixed Width, XML, JSON, and Parquet
Experience with ServiceBus configuration (ingress/egress) or equivalent AWS cloud service administration
Hands-on experience with unit testing, code quality tools, CI/CD technologies, and container security practices
Background in Agile development with active participation in Agile ceremonies and practices
Flexible work from home options available.

## Description

Work with limited supervision to design, develop, and support data engineering and analytics solutions while providing guidance on end-to-end analytic solution implementation. Collaborate with cross-functional teams to create customized data infrastructure, run comprehensive tests to isolate and resolve errors, and ensure system reliability. Continuously update and enhance data systems to adapt to changing business requirements, ensuring scalability, efficiency, and accuracy across analytics platforms.
Responsibilities
Design, assemble, and manage large, complex datasets that fulfill both functional and non-functional business requirements.
Develop and implement process improvements, including infrastructure redesign for scalability, optimized data delivery, and automation of manual workflows.
Build robust data infrastructure for efficient extraction, transformation, and loading (ETL) from multiple sources using AWS and SQL technologies.
Create analytical tools and data pipelines that provide actionable insights into key business metrics such as operational efficiency and customer acquisition.
Collaborate with cross-functional teams-including Data, Product, Design, and Executive leadership-to support data infrastructure needs and resolve data-related technical challenges.
Innovate and adapt technology or tools to address evolving business and user needs.
Perform additional duties as assigned by leadership.


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