[Remote] Data Engineer

Note: The job is a remote job and is open to candidates in USA. Abbott is a global healthcare leader that helps people live more fully at all stages of life. The Data Engineer position involves designing, developing, and maintaining data pipelines and cloud-based data solutions to support analytics and reporting needs, while collaborating with various teams to deliver reliable data solutions.

Responsibilities

• Design, build, and maintain data pipelines to support analytics, reporting, and downstream applications
• Develop and maintain data ingestion solutions on AWS using AWS-native services
• Build and optimize data models using Databricks and AWS data stores such as Redshift, RDS, and S3
• Integrate and assemble large datasets to meet business and analytical requirements
• Extract, transform, and load (ETL/ELT) data into approved tools and frameworks
• Configure and maintain integration tools, databases, data warehouses, and analytical systems
• Process structured and unstructured data into formats suitable for analysis, partnering with analysts as needed
• Collaborate with engineering and technology teams to align data solutions with business needs
• Monitor and improve data pipeline performance, reliability, and scalability
• Write clean, well-documented code and follow established engineering best practices
• Contribute to technical documentation and support existing architecture patterns
• Participate in peer code reviews and team design discussions
• Work cross-functionally with Engineering, Product, QA, and Analytics teams
• Stay current with data engineering tools and industry trends and share learnings with the team

Skills

• Bachelors Degree in Computer Science, Information Technology or other relevant field
• At least 1-3 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
• 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

Benefits

• Free medical coverage in our Health Investment Plan (HIP) PPO medical plan
• An excellent retirement savings plan with high employer contribution
• Tuition reimbursement
• The Freedom 2 Save student debt program
• FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree

Company Overview

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