Senior Data Engineer

Abbott Laboratories; Chicago (IL); Remote; USD 75,000 - 151,000; Full time

Job summary

Abbott Laboratories seeks a Senior Data Engineer to build big data capabilities and analytics systems. The successful candidate will work in a technology-driven environment, focusing on data pipelines, AWS services, and software solutions for big data initiatives. Great opportunity for professionals interested in making a significant impact in healthcare technology.

Benefits

Career development

Free medical coverage

Retirement savings plan

Tuition reimbursement

Qualifications

• Minimum 4 years of recent experience in Data Engineering or Big Data.
• Ability to work effectively within a team in a fast-paced environment.
• Excellent communication skills required.

Responsibilities

• Design and implement data pipelines and architecture.
• Develop and maintain optimal data pipeline architecture using AWS.
• Monitor and optimize data performance, uptime, and scale.

Skills

Data Engineering

Software Engineering

Python

Databricks

AWS

Big Data

Education

Bachelor's Degree in Computer Science

Tools

Databricks

Redshift

AWS S3

Lambda

DynamoDB

Spark

Kafka

Job description

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

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

As a senior member of the Data Engineering & Analytics team, you will be building big data collectionand analytics capabilities to uncover customer, product and operational insights. Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions.Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python.

The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives.

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

• Monitor and optimize 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

Qualifications

• Bachelors Degree in Computer Science, Information Technology or other relevant field

• Minimum 4 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 tuning

• 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

#software

Apply Now

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 $75,300.00 – $150,700.00. In specific locations, the pay range may vary from the range posted.