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职位Abbott

Junior Data Engineer

Abbott

Junior Data Engineer

Abbott

United States - Minnesota - St. Paul

·

On-site

·

Full-time

·

1w ago

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Working at Abbott:

At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to:

  • 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.

The Opportunity

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.

What You’ll Work On

  • 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, Py Spark, 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.

Required Qualifications

  • 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 (Py Spark a plus).
  • Understanding of Relational Databases & ETL/ELT concepts.

Preferred Qualifications

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

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:

www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

$50,700.00 – $101,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Engineering

DIVISION:

BTS Business Technology Services:

LOCATION:

United States > Minnesota > St. Paul > Lillehei : One Lillehei Plaza

ADDITIONAL LOCATIONS:

WORK SHIFT:

Standard

TRAVEL:

Not specified

MEDICAL SURVEILLANCE:

Not Applicable

SIGNIFICANT WORK ACTIVITIES:

Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday)

Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.

  • EEO is the Law link

  • English: http://webstorage.abbott.com/common/External/EEO_English.pdf

  • EEO is the Law link

  • Espanol: http://webstorage.abbott.com/common/External/EEO_Spanish.pdf

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关于Abbott

Abbott

Abbott

Public

Abbott is a global healthcare company that develops medical devices, diagnostics, branded generic medicines, and nutrition products.

10,001+

员工数

Abbott Park

总部位置

$177B

企业估值

评价

2.5

5条评价

工作生活平衡

1.8

薪酬

3.2

企业文化

2.0

职业发展

2.3

管理层

1.5

25%

推荐给朋友

优点

Important medical device work

Supportive hiring process

Decent salary for leadership roles

缺点

Understaffed departments

Management pressure and overwork

Toxic work culture

薪资范围

758个数据点

Junior/L3

Junior/L3 · IT ERP OCM - Data Analyst

1份报告

$82,383

年薪总额

基本工资

$71,594

股票

-

奖金

-

$82,383

$82,383

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

录用率

33%

体验

正面 33%

中性 67%

负面 0%

面试流程

1

Application Review

2

HR Screen

3

Technical Interview

4

Hiring Manager Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Problem Solving