Junior Data Engineer

Abbott • St. Paul, MN

5d

About The Position

We are seeking a motivated and detail‑oriented Junior Data Engineer to join our data engineering team. In this role, you will support the design, development, and maintenance of data pipelines and analytics infrastructure. You will work closely with senior engineers, analysts, and business partners to ensure reliable, high‑quality data delivery across the organization. This is an excellent opportunity for someone early in their data engineering career who is eager to learn modern cloud technologies, big‑data architectures, and best‑in‑class data engineering practices.

Requirements

• Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, or related field
• 0-2 years or experience in IT related field
• Foundational knowledge of SQL.
• Basic programming experience with Python (PySpark a plus).
• Understanding of Relational Databases & ETL/ELT concepts.

Nice To Haves

• Excellent communication, analytical, and problem-solving skills.
• Strong attention to detail and organizational skills.
• Ability to prioritize tasks in a high-pressure environment.

Responsibilities

• Design and build solutions for analyzing large data sets, identifying patterns and relationships
• Create, deploy, and optimize large-scale data pipelines.
• Rapidly develop new data and analytics prototypes.
• Explore and document data sources, ensuring data quality and availability.
• Manage data sources, organize data, and create data assets using identified open source or proprietary tools.
• Build approved processes with best practices for dependency management, error handling, and orchestration.
• Implement Lakehouse federation in Databricks for secure access to external systems.
• Define transition strategies for federated datasets into ingested Delta Lake formats for performance, reliability, or lineage requirements.
• Collaborate with subject matter experts to build data pipelines from structured and unstructured sources.
• Work on the newest tools and technologies to achieve results - Python, PySpark, and Databricks.
• Resolve technical issues related to assigned projects.
• Implement data quality checks, lineage capture, metrics/alerts, and SLA dashboards.
• Prepare clear documentation, runbooks, consumption contracts (SQL/API)onboarding guides, and operational handoffs.
• Support company initiatives and comply with regulatory requirements.
• Maintain positive and cooperative communications with all stakeholders.
• Perform other related duties as assigned.

Benefits

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.
• An excellent retirement savings plan with a high employer contribution
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
• A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.
• A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Number of Employees: 5,001-10,000 employees