Data Pipeline & Analytics Engineer

Thornton Tomasetti; California; On-site; USD 82,000 - 141,000; Full time

Job summary

Abbott is seeking an Analytics Engineer to develop and maintain data architectures, pipelines and warehouses, ensuring data quality and reliability across systems.

The role emphasizes collaboration with senior engineers, translation of business needs into technical specs, and documentation of data processes within a healthcare context. Located in Sylmar, CA, the position supports data-driven decision making in a global healthcare company.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Data Analytics, Data Science or similar.
• Minimum 1 year work experience with degree or equivalent.
• Training using mathematical modeling and statistical analysis.
• Basic experience of database applications.
• Basic knowledge of SAS, R or Python, SQL.
• Prior experience/education in life sciences or healthcare preferred.

Responsibilities

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems.
• Build and maintain data pipelines (ETL), ensure data quality and reliability, manage data warehouses.
• Collaborate with senior engineers to translate business needs into analytical/technical requirements.
• Assist in deployment and monitoring of data pipelines and workflows under guidance.
• Support data quality initiatives and validation processes.
• Document data processes and workflows for knowledge sharing.

Skills

Data mining

Informatics

Programming

Information retrieval

Databases

Data structures

Software engineering

Systems design analysis

SQL

Education

Bachelor's degree in Computer Science / IT / Data Analytics

Tools

SAS

R

Python

SQL

Job description

Abbott is seeking an Analytics Engineer to develop and maintain data architectures, pipelines and warehouses, ensuring data quality and reliability across systems.

The role emphasizes collaboration with senior engineers, translation of business needs into technical specs, and documentation of data processes within a healthcare context. Located in Sylmar, CA, the position supports data-driven decision making in a global healthcare company.