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# Analytics Engineer

- **Company:** Abbott Laboratories
- **Location:** Los Angeles, CA, United States
- **Salary:** $81,500.0 - $141,300.0
- **Contract:** Permanent contract
- **Skills:** HTML, JavaScript (Programming Language), Amazon Web Services, Data Analysis, Microsoft Azure, Microsoft Basic Data Partition, Big Data, Cascading Style Sheets (CSS), Computer Programming, Databases, Data Cleansing, Data Transformation, Data Mining, Data Structures, Database Applications, Relational Databases, R (Programming Language), Information Retrieval, Python (Programming Language), Parsing, Software Tools, SAS (Software), Software Engineering, SQL Databases, Web Application Frameworks, ReactJS, Software Application Programming, Vue.js, AngularJS, Information Technology, Statistics Packages, Data Analytics, Data Pipelines
- **Published:** October 18, 2026
- **Apply:** https://dejobs.org/x/x/C1D023C2725545C4BE463F42126BE944/job/

## About the Role

* Relevant skills include data mining, informatics, programming, information retrieval, databases and data structures, software engineering and systems design analysis.
 * Familiar with a range of mainstream commercial and open-source data tools, their constraints, advantages, disadvantages and areas of application; Has intermediate skill in using at least one such tool.
 * Familiar with data and statistical programming languages (such as SQL, SAS, R and Python). Basic programming skills. Ability to interpret an existing script of moderate complexity
 * Conducts data acquisition from relational databases and flat files.
 * Wrangles low-complexity data, selecting appropriate techniques, such as parsing, or an algorithm, to create a data structure relevant to the problem.
 * Seeks mentorship opportunities in the organization to gain a diverse perspective.

Qualification

Education

Bachelors Degree (± 16 years)

Computer Science, Information Technology, Data Analytics, Data Science or similar discipline including Databases, Mathematics, Statistics, Physics, or Engineering is preferred

Experience / Background

Minimum 1 year

Work experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree

Training using mathematical modeling and statistical analysis

Basic experience of database applications

Basic knowledge of several tools (such as SAS, R or Python, SQL)

Prior experience/education in life sciences or healthcare preferred

Proficiency in HTML, CSS, JavaScript, modern web frameworks (React, Angular, or Vue), database technologies, and cloud platforms such as Azure or AWS. Experience developing applications that support manufacturing operations, production reporting, or process improvement is highly desirable.

## Description

Core Job Responsibilities

 * Assists in the deployment and monitoring of data pipelines and workflows under guidance from senior engineers.
 * Supports basic data quality initiatives & integration through testing and validation processes.
 * Builds basic analytic data sets for exploration and modeling.
 * Assists in the implementation of data security measures, compliance, standards, and policies.
 * Documents data processes, procedures, and workflows for knowledge sharing.
 * Assist with data pipeline development, data cleaning and preprocessing.
 * Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering.
 * Assists in the scoping, planning and delivery of projects.
 * Assists in data collection and cleansing efforts; focused on building and maintaining the infrastructure processes that automate data collection and cleansing.
 * Understands the fundamentals of big data storage and distribution systems and relevant software tools, their constraints, advantages and disadvantages.
 * Maintains awareness of trends and best practice approaches

Supervisory / Management Responsibility

 * Receives specific direction and guidance from more experienced team members. Adapts to changing priorities as they arise.
 * Completes own work details and assignments of low complexity and guidance from senior level engineers.
 * Collaborates for results and participates in idea-sharing and solution development.
 * Escalates issues to more senior colleagues as required.
 * Works well with others in a collaborative, goal-driven environment.