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# Data Engineer

- **Company:** Everforth Apex
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Warehousing, Database Design, Python (Programming Language), Machine Learning, Standard Sql, Software Engineering, Data Streaming, Systems Integration, Unstructured Data, Cloud Platform System, Build Management, Information Technology, Data Management, Data Pipelines
- **Published:** August 27, 2026
- **Apply:** https://www.dice.com/job-detail/f17832e4-4867-4d77-9934-405dd52ab44c

## About the Role

Education: Bachelor's degree in computer science, software engineering, or a related field.

Experience: 5+ years designing and building end-to-end architectures. Experience in data engineering, analytics engineering, or related technical roles. Experience supporting AI, machine learning, or automation initiatives is also required.

Technical Skills: Strong SQL and Python skills, with experience building batch and/or streaming pipelines. Hands-on experience with data platforms, ETL/ELT tools, cloud environments, and data warehouses. Experience with data modeling and database design. Understanding of data quality, data governance, security, and access control principles. Ability to work cross-functionally and translate business needs into technical solutions.

Preferred Qualifications

 * Strong financial acumen, including knowledge of ARR, margin, and performance metrics.
 * Demonstrated ability to align functional leaders without formal authority.
 * Executive presence and credibility with senior management.

## Description

We are seeking a Data Engineer to design, build, and maintain scalable data pipelines. This role involves partnering with business and technology teams to define data requirements for AI use cases and operational workflows. The position will focus on developing data models, integrations, and quality controls to support analytics, automation, and model performance., * Design and build scalable data pipelines that collect, transform, and deliver structured and unstructured data from internal and external sources.

 * Partner with business and technology teams to define data requirements for AI use cases and operational workflows.
 * Develop data models, integrations, and data quality controls to support analytics, automation, and model performance.
 * Ensure data is available, reliable, secure, and properly governed across systems and environments.
 * Work closely with AI engineers, product owners, and process teams to prepare data for experimentation and production use.
 * Monitor pipeline health, troubleshoot issues, and continuously improve performance, reliability, and maintainability.
 * Support metadata, lineage, and documentation practices that improve data transparency and trust.
 * Experience embedding AI, automation, or workflow redesign into operating environments.


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