This role pays less than
52%
of similar roles. Most pay
$155,175–$214,500
— the shaded band above.
At the midpoint, this role pays about
$194k
versus about
$185k
for comparable roles.
Based on 240 similar postings.
Employer
About Abbott
Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices
Abbott currently has
85 open roles
on FindRole.
Listed pay typically runs
$99,300–$198,700
across 85 roles with salary data.
The Principal Data Engineer serves as a senior individual contributor and technical leader for cross-domain initiatives and enterprise data engineering capabilities. This role is responsible for converting ambiguous requirements into executable architectures, defining enterprise standards, and managing complex projects through production. The engineer will build and oversee semantic layers, canonical data models, batch and event-driven pipelines, and governed data products for analytics and machine learning. Key technical skills include Spark on Databricks, Python, Scala, SQL, Snowflake, and experience with Parquet, Avro, and Delta Lake formats. The role also requires proficiency in AWS infrastructure, REST API development, and GitLab CI/CD. Crucially, the work involves managing data within a regulated healthcare context, ensuring architectures comply with specific security, privacy, and quality requirements such as HIPAA, CLIA, and FDA standards for protected health information.
What does a Data Engineer earn?
Median $162000 from 205 postings across 57 companies.