Staff Data Engineer

Title: Staff Data Engineer

Location: United States of America : Remote

Job Description:

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 114,000 colleagues serve people in more than 160 countries.

We’re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We’re revolutionizing the way people monitor their glucose levels with our new sensing technology.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and 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 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 around the world 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 a best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

This Staff Data Engineer position can work out remotely within the U.S.

The primary purpose of the Staff Data Engineer role is to design, develop, and maintain scalable data pipelines that ensure the efficient collection, storage, and processing of large datasets. This position is crucial for enabling data-driven decision-making and supporting the overall business objectives by providing reliable and timely access to high-quality data.

WHAT YOU’LL DO:

• Design, implement, and optimize Apache Spark jobs to define, schedule, monitor, and control data processes.

• Design and implement real-time data pipelines using technologies such as Apache Kafka, AWS Kinesis, or Azure Event Hubs for ingestion, transformation, and delivery of high-volume data streams.

• Develop and maintain stream-processing applications using Apache Flink or Spark Structured Streaming, ensuring low-latency data availability.

• Develop, test and deploy algorithms for large-scale machine learning in a production environment.

• Optimize Spark jobs to maximize speed, scalability and compliance with data-use regulations.

• Manage robust data pipelines: acquisition, transformation, and processing workflows.

• Perform advanced data processing and exploratory analysis

• Build and deploy machine learning models using Spark or MapReduce, and present results through intuitive visualizations.

• Collaborate with other spark developers and back-end data engineers to design and develop interactive Spark pipelines.

• Develop and maintain REST APIs to manage Spark jobs and facilitate data workflows.

• Ensure seamless integration of pipelines with distributed file and database systems.

QUALIFICATIONS

• Bachelor's degree in computer science, Engineering, or a related field.

• Minimum 10 years in building and optimizing data processing pipelines.

• Experience in Apache Spark, including Spark SQL, RDD, DataFrame, Dataset APIs, and PySpark.

• Experience with API-based data delivery for dashboards, enabling REST/GraphQL endpoints or data applications to retrieve live metrics.

• Proficient knowledge of the Apache Kafka ecosystem (brokers, topics, partitions, consumer groups, schema registry, KSQL, Kafka Connect).

• In-depth understanding of Spark internals and real-time streaming technology (e.g., Kafka, KSQL, etc.)

• Strong experience with big data processing tools

• Familiarity with ETL tools and expertise in managing post-loading transformations.

• Experience with cloud platforms such as AWS or Azure for building Apache Spark clusters

• Understanding of machine learning algorithms and their application in large-scale data environments.

• Familiarity with data visualization tools (e.g., Tableau, Power BI, or others).

• Strong communication and collaboration skills, with a proven ability to work cross functionally with analysts, scientists and developers

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

$97,300.00 – $194,700.00

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

JOB FAMILY:

Product Development

DIVISION:

ADC Diabetes Care

LOCATION:

United States of America : Remote

WORK SHIFT:

Standard

TRAVEL:

Yes, 10 % of the Time

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.