Entry Level Data Engineer
This entry-level Data Engineer role offers a comprehensive paid training program and mentorship to develop foundational and advanced data engineering skills. Candidates will gain hands-on experience with modern technologies and client projects, supported by relocation assistance and career development resources. The position requires willingness to relocate within the U.S. and a passion for learning in a collaborative team environment.
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 (Information Technology).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring candidates for an Entry Level Data Engineer cohort through the Dev10 program. This role combines immersive, paid training with hands-on client work to launch your career in data engineering.
- Participate in a 3–4 month, instructor-led technical training program (paid).
- Learn and apply Relational and Non-Relational databases, Python, Pandas, SQL, APIs, Snowflake, Docker, Airflow, and Apache Spark.
- Build and maintain ETL/data pipelines and data transformations for analytics and operational systems.
- Write clean, testable Python code and SQL queries; preprocess and transform data for downstream use.
- Collaborate with senior engineers, participate in code reviews, and follow Agile delivery practices.
- Apply introductory machine learning concepts where appropriate to improve data products.
Qualifications
- Bachelor’s degree (required).
- Programming experience of 6+ months (academic coursework, personal projects, or professional work). You must have actively programmed within the last 3 months.
- Plus one of the following (must be clearly listed on your resume):
- A recent STEM degree (Computer Science, IT, Engineering, or related), OR
- 12+ months of professional work experience in finance, healthcare, banking, insurance, hospitality, aviation, or technology, with no more than a 12-month gap since your last professional role.
- Willingness to relocate anywhere in the continental United States.
- Note: Confidential Client cannot provide or support employment visa or work authorization paperwork (including OPT, CPT, H‑1B, or TN). Exceptions: Asylees, Refugees, and TPS.
Preferred Skills
- Python (data scripting, libraries such as Pandas)
- SQL and relational database experience
- Exposure to Snowflake, Docker, Airflow, or Apache Spark
- Familiarity with APIs, Excel, and basic machine learning concepts
- Strong logic/reasoning, clear communication, and a team-oriented mindset
- Passion for learning and a strong interest in Data Engineering
What We Offer
- Paid training during the immersive program: $600/week (3–4 months)
- Hourly pay after placement: $24.04–$28.85 depending on assigned location (approx. $50k–$60k annually)
- $2,500 relocation assistance
- Two years of client project experience under mentorship
- Mentorship and instruction from senior engineers and a Dev10 manager to support career growth
- Comprehensive benefits: health, vision, dental, 401(k), and paid time off
- Cohort start: November 2026
Location & Relocation
- Authoritative job location: Lauderdale, MN (Lauderdale, Minnesota).
- This role requires willingness to relocate anywhere in the continental United States. Candidates should be prepared to move for assignment placement.
Additional Notes
- This opportunity is part of a structured training-to-placement program designed for candidates transitioning into data engineering.
- Candidates must meet the listed eligibility and experience requirements; please ensure your resume clearly documents relevant programming experience and degree or qualifying work history.
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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