Staff Data Engineer

Talantir; Illinois; Remote; USD 99,000 - 199,000; Full time

Job summary

Abbott is hiring a Staff Data Engineer who can work remotely within the United States. You will design and build data pipelines, optimize cloud data models using Databricks and AWS services, and integrate large data sets across multiple projects.

The role emphasizes collaboration with engineering and product teams, and requires strong communication skills. The ideal candidate has 5–10 years of software/data engineering experience, proficiency in Python or PySpark, and familiarity with AWS tools

Qualifications

• Bachelor's degree in CS/IT or a related field.
• 5–10 years of software/data engineering experience.
• Experience with Databricks/Spark and AWS.
• Proficiency in Python/PySpark or Go.
• Ability to design data pipelines and models.

Responsibilities

• Design and implement data pipelines across various projects.
• Develop and maintain optimal data pipeline architecture on AWS using native services.
• Design and optimize data models on AWS Cloud using Databricks and AWS stores (Redshift, RDS, S3).
• Integrate large, complex data sets to meet business needs.
• Read, transform, stage and load data to required tools/frameworks.
• Manage integration tools, databases, warehouses, and analytics systems.

Skills

Team collaboration

Asynchronous communication

Problem solving

Written communication

Education

Bachelor's Degree in Computer Science or related field

Tools

Databricks

Spark

Python

PySpark

Kafka

Go

AWS

S3

Redshift

RDS

DynamoDB

EMR

Glue

Lambda

Linux

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 115,000 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

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.

What You’ll Work On

• Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives
• Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services.
• Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3
• Integrate and assemble large, complex data sets that meet a broad range of business requirements
• Read, extract, transform, stage and load data to selected tools and frameworks as required and requested
• Customizing and managing integration tools, databases, warehouses, and analytical systems
• Process unstructured data into a form suitable for analysis and assist in analysis of the processed data
• Working directly with the technology and engineering teams to integrate data processing and business objectives
• Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design
• Create software architecture and design documentation for the supported solutions and overall best practices and patterns
• Support team with technical planning, design, and code reviews including peer code reviews
• Provide Architecture and Technical Knowledge training and support for the solution groups
• Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA.
• Stay current with emerging trends, making recommendations as needed to help the organization innovate
• Proactively planning complex projects from scope/timeline development through technical design and execution.
• Demonstrate leadership through mentoring other team members.

Required Qualifications

• Bachelors Degree in Computer Science, Information Technology or other relevant field
• At least 5 to 10 years of recent experience in Software Engineering, Data Engineering or Big Data
• Ability to work effectively within a team in a fast-paced changing environment
• Knowledge of or direct experience with Databricks and/or Spark.
• Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives.
• Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources
• Knowledge of data cleaning, wrangling, visualization and reporting
• Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience
• Familiarity of databases, BI applications, data quality and performance tunin
• Excellent written, verbal and listening communication skills
• Comfortable working asynchronously with a distributed team

Preferred Qualifications

• Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda.
• Experience working in an agile environment
• Practical Knowledge of Linux

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

Abbott is an Equal Opportunity Employer, committed to employee diversity.

The base pay for this position is $99,300.00 – $198,700.00. In specific locations, the pay range may vary from the range posted.