Remote Staff Data Engineer - AWS & Databricks

Abbott; 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 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