Junior Data Engineer

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. Youll also have access to:

• Career development with an international company where you can grow the career you dream of.
• Employees can qualify forfree medical coverage in ourHealth Investment Plan (HIP) PPOmedical 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 bachelors 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 detailoriented Junior Data Engineer to join our data engineering 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 highquality 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 bigdata architectures and bestinclass data engineering practices.

What Youll 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 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.

Required Qualifications

• Bachelors 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.

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:

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 on Facebook at and on Twitter @AbbottNews and @AbbottGlobal.

The base pay for this position is

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

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Junior IC