Senior Data Engineer

Abbott Laboratories; Illinois; Remote; USD 75,000 - 151,000; Full time

Job summary

A leading company in healthcare is seeking a Senior Data Engineer to build data collection and analytics capabilities. This role involves designing data pipelines, working with AWS services, and collaborating with distributed teams to derive insights from complex datasets. The position offers remote work within the U.S. and opportunities for career development.

Benefits

Free medical coverage

Generous retirement savings

Tuition reimbursement

Recognition for diversity and inclusion

Qualifications

• Minimum 4 years in Software/Data Engineering or Big Data roles.
• Experience with Databricks and/or Spark.
• Proficiency in Python, PySpark, Kafka, or Go.

Responsibilities

• Design and implement data pipelines for processing and visualization.
• Develop and maintain scalable data architecture using AWS services.
• Monitor and optimize data performance and scalability.

Skills

Team Collaboration

Communication

Data Processing

Python

Education

Associates or Bachelor’s degree in a technical field

Tools

Databricks

AWS

Spark

Kafka

Job description

Abbott is a global healthcare leader dedicated to helping people live more fully at all stages of life. Our portfolio includes diagnostics, medical devices, nutritionals, and branded medicines, serving over 160 countries with 114,000 colleagues.

Job Description

We focus on assisting people with diabetes to manage their health through innovative products that provide accurate data for better decisions. We are revolutionizing glucose monitoring with our new sensing technology.

Working at Abbott

At Abbott, you can make a difference, grow, learn, care for yourself and your family, and live authentically. We offer:

• Career development opportunities in an international environment.
• Eligibility for free medical coverage through our Health Investment Plan (HIP) PPO in the following year.
• Generous retirement savings with high employer contributions.
• Tuition reimbursement, the Freedom 2 Save student debt program, and the FreeU education benefit.
• Recognition as a great place to work worldwide, including accolades for diversity and inclusion.

The Opportunity

This Senior Data Engineer role can be performed remotely within the U.S. It involves building data collection and analytics capabilities to derive insights into customers, products, and operations.

You will work with a geographically distributed team to develop data pipelines that handle complex datasets efficiently and securely, operationalize data science solutions, and utilize tools such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python.

Responsibilities

1. Design and implement data pipelines for processing and visualization across projects.
2. Develop and maintain scalable data architecture using AWS services.
3. Design data models on AWS Cloud with Databricks and AWS data stores.
4. Integrate large, complex datasets to meet business needs.
5. Extract, transform, and load data as required.
6. Manage integration tools, databases, warehouses, and analytical systems.
7. Process unstructured data for analysis and support data analysis efforts.
8. Collaborate with technology and engineering teams to align data processing with business objectives.
9. Monitor and optimize data performance, uptime, and scalability, ensuring high code quality.
10. Create architecture and design documentation, and support technical planning and reviews.
11. Provide training and support on architecture and technical knowledge.
12. Build relationships with cross-functional teams and stay updated on emerging trends.

Qualifications

• Associates or Bachelor’s degree in a technical field or equivalent experience.
• Minimum 4 years in Software/Data Engineering or Big Data roles.
• Effective team collaboration skills in a fast-paced environment.
• Experience with Databricks and/or Spark.
• Proficiency in Python, PySpark, Kafka, or Go, with a willingness to learn new languages.
• Knowledge of processing large structured and unstructured data sets.
• Excellent communication skills and ability to work asynchronously in a distributed team.

Preferred Qualifications

• Experience with databases, BI tools, data quality, and performance tuning.
• Skills in data cleaning, wrangling, visualization, and reporting.
• Knowledge of AWS services such as S3, RDS, Redshift, DynamoDB, EMR, Glue, Lambda.
• Experience working in agile environments and practical Linux knowledge.

Apply Now

Learn more about our benefits at www.abbottbenefits.com. Abbott is an Equal Opportunity Employer committed to diversity. Connect with us at www.abbott.com, Facebook, and Twitter.

The salary range is $75,300.00 – $150,700.00, varying by location.