Senior Data Engineer

Abbott Laboratories; Green Oaks (IL); Remote; USD 100,000 - 130,000; Full time

Job summary

A leading healthcare company is seeking a Senior Data Engineer to build big data capabilities and derive insights. This remote position involves developing data pipelines, optimizing data architecture, and collaborating with diverse teams to enhance data-driven decision-making.

Benefits

Career development opportunities

Free medical coverage eligibility

High employer contributions to retirement

Tuition reimbursement

Qualifications

• 3 to 8 years of experience in Software Engineering or Data Engineering.
• Effective team collaboration skills in a fast-paced environment.

Responsibilities

• Design and implement data pipelines for processing and visualization.
• Develop and maintain data architecture using AWS services.
• Collaborate with technology teams to align data processing with business objectives.

Skills

Collaboration

Communication

Problem Solving

Education

Bachelor’s degree in Computer Science

Tools

Databricks

Spark

Python

AWS

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 diagnostics, medical devices, nutritionals, and branded medicines. With over 114,000 colleagues, we serve people in more than 160 countries.

We focus on helping people with diabetes 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 do meaningful work, grow, learn, care for yourself and your family, and live authentically. Benefits include:

• Career development opportunities within an international company.
• Potential eligibility for free medical coverage through our Health Investment Plan (HIP) PPO in the next calendar year.
• High employer contributions to our retirement savings plan.
• Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefits.
• Recognition as a great place to work globally and accolades for diversity and inclusion.

The Opportunity

This Senior Data Engineer position is remote within the U.S. and involves building big data collection and analytics capabilities to derive insights about customers, products, and operations. The role requires working with a geographically distributed team to develop efficient, secure data pipelines and operationalize data science solutions using tools like 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 data architecture using AWS native services.
3. Design and optimize data models on AWS, utilizing 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, and analytical systems.
7. Process unstructured data for analysis and assist in data analysis.
8. Collaborate with technology and engineering teams to align data processing with business objectives.
9. Monitor and optimize data performance, uptime, and scalability.
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 other teams like Engineering, Marketing, and Product.
13. Stay current with emerging trends and recommend innovations.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 3 to 8 years of experience in Software Engineering, Data Engineering, or Big Data.
• Effective team collaboration skills in a fast-paced environment.
• Knowledge of or experience with Databricks and Spark.
• Software development skills in Python, PySpark, Kafka, or Go, with a willingness to learn new languages.
• Experience processing large structured and unstructured data sets.
• Knowledge of data cleaning, wrangling, visualization, and reporting.
• Ability to explore new solutions and apply industry best practices.
• Familiarity with databases, BI tools, data quality, and performance tuning.
• Excellent communication skills.
• Comfort working asynchronously with distributed teams.

Preferred Qualifications

• Experience with AWS services like S3, RDS, Redshift, DynamoDB, EMR, Glue, Lambda.
• Experience working in an Agile environment.
• Practical knowledge of Linux.

Apply now and learn more about our benefits at www.abbottbenefits.com. Abbott is an Equal Opportunity Employer committed to diversity.