Data Engineer
The Data Engineer at Confidential Client is an entry-level role focused on building and maintaining reliable data pipelines and platforms that support analytics and machine learning teams. This position involves hands-on development, monitoring, and troubleshooting of data workflows, ensuring data accuracy and accessibility to drive innovation in the manufacturing industry. The role offers growth opportunities within a dynamic data organization and requires on-site work at the Dallas headquarters.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring an entry-level Data Engineer to join their Data team in Highland Park, TX. This hands-on role focuses on building and maintaining reliable data pipelines and the platform that analytics and ML teams rely on.
- Build and maintain data pipelines to move data from source systems into Snowflake
- Support the data platform: orchestration, automated testing, and CI/CD for data workflows
- Partner with data scientists to build and operate ML pipelines (feature prep → model deployment)
- Monitor pipeline health, troubleshoot failures, and improve reliability and performance
- Work with analysts and business partners to ensure data accuracy, documentation, and usability
- Write clean, tested, version-controlled code
Minimum Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field — or equivalent practical experience
- Proficiency in SQL and Python
- Understanding of data pipelines, ETL/ELT concepts, and relational data modeling
- Familiarity with Git and version-control workflows
- Strong problem-solving skills and a growth mindset
- Able to work on-site in Highland Park, TX (Dallas area)
Preferred Qualifications
- 1+ year of relevant experience (including internships)
- Hands-on experience with Snowflake or another cloud data warehouse
- Exposure to CI/CD tools, workflow orchestration (e.g., Airflow), or integration platforms
- Experience or exposure to MLOps / machine learning workflows
Compensation
- Base salary: $85,000 — $105,000 per year (depending on experience)
(Complies with applicable pay-transparency requirements for the job location.)
Work Authorization & Location
- This role requires authorization to work in the United States now and in the future.
- Confidential Client will not be able to sponsor U.S. work authorization for this position.
- This is an on-site role based in Highland Park, TX (Dallas area); candidates must be able to work in-office as required.
About the Employer
Confidential Client is building data systems that enable analytics and ML efforts across the organization. The team values reliability, quality code, and collaboration across engineering, analytics, and product.
Why Apply
- Early-career opportunity with room to grow in a scaling data organization
- Hands-on exposure to modern cloud data stacks (Snowflake + orchestration + CI/CD)
- Work closely with data scientists and cross-functional teams to turn data into impact
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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