Data Engineer

AbbVie

Remote, US
Base: $61,300.00 – $122,700.00; bonus/equity: not ...
Fully remote
Design, build, and maintain data pipelines
Develop and maintain data ingestion solutions on aws
Build and optimize data models using databricks
AbbVie is seeking a Data Engineer to work remotely in the U.S. The position focuses on designing, developing, and maintaining data pipelines and cloud-based solutions to support analytics, primarily utilizing technologies such as Databricks, AWS, Spark, and Python

Job Summary

  • As a Data Engineer, you will contribute to the design, development, and maintenance of data pipelines and cloud-based data solutions that support analytics and reporting needs.
  • The technology stack includes Databricks, AWS (Redshift, S3, Lambda, DynamoDB), Spark, and Python.
  • We’re looking for someone curious, collaborative, and passionate about building quality data solutions that help improve patient outcomes.

Matching Summary

Match Score: 85

AbbVie is seeking a Data Engineer to work remotely in the U.S. The position focuses on designing, developing, and maintaining data pipelines and cloud-based solutions to support analytics, primarily utilizing technologies such as Databricks, AWS, Spark, and Python.

Salary

Base: $61,300.00 – $122,700.00; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Design, build, and maintain data pipelines
  • Develop and maintain data ingestion solutions on AWS
  • Build and optimize data models using Databricks
  • ETL/ELT data processing
  • Process structured and unstructured data
  • Collaborate with engineering and technology teams

Nice-to-have

  • Curious, collaborative, and passionate about data solutions
  • Share learnings with the team
  • Stay current with data engineering trends

Key Requirements

  • Bachelors Degree in Computer Science, Information Technology or other relevant field
  • 1-3 years of recent experience in Software Engineering, Data Engineering or Big Data
  • Knowledge of or direct experience with Databricks and/or Spark
  • Software development experience, ideally in Python, PySpark, Kafka or Go
  • Knowledge of strategies for processing large amounts of structured and unstructured data
  • Familiarity of databases, BI applications, data quality and performance tuning

Work Rights

Not specified

Tailored Resume

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