Senior Data Engineer

Abbott • Libertyville, IL

115d • $75,300 - $150,700

About The Position

This Senior Data Engineer position can work out remotely within the U.S. Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You’ll help define and implement the organization’s Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning. As a senior member of the Data Engineering & Analytics team, you’ll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You’ll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python.

Requirements

• Bachelors Degree in Computer Science, Information Technology or other relevant field.
• At least 2 to 6 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.

Nice To Haves

• 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.

Responsibilities

• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees