Develop a strong understanding of Amgen’s financial data and systems to support reporting, integrations, and business data requests
Design, develop, and maintain ETL/ELT pipelines in Databricks and Prophecy using PySpark, Python, and SQL, including ingestion and transformation of structured and unstructured data from sources such as Databricks, Oracle, AWS, SQL Server, APIs, logs, and third-party platforms.
Build scalable data pipelines and maintain underlying data infrastructure to migrate and deploy data across systems, with an understanding of Finance, HR, and related domains.
Build and maintain GitLab CI/CD pipelines and repositories to support code reviews, automate deployments, and uphold coding standards.
Use JIRA, Confluence, and Agile/DevOps tools to manage sprints, backlogs, and documentation.
Design and implement solutions that enable unified data access, governance, and interoperability across hybrid cloud environments.
Ensure data integrity and accuracy through rigorous validation, quality checks, and monitoring.
Evaluate and implement new tools, frameworks, and best practices to improve data processing efficiency and modernize engineering workflows.
Automate manual tasks, develop reusable data engineering components, collaborate with cross-functional teams to translate business needs into scalable technical solutions, and maintain documentation for processes.

Requirements

Doctorate degree OR Master’s degree and 2 years of relevant experience in Analytics, Computer Science, IT or related field
Or Bachelor’s degree and 4 years of relevant experience in Analytics, Computer Science, IT or related field
Or Associate’s degree and 8 years of relevant experience in Analytics, Computer Science, IT or related field
Or High school diploma / GED and 10 years of relevant experience in Analytics, Computer Science, IT or related field
Databricks Certificate preferred
Hands-on experience of building ETL pipelines and data engineering technologies such as Databricks, Gitlab, SQL, PySpark, SparkSQL, AWS, Python.

Benefits

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
group medical, dental and vision coverage
life and disability insurance
flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

ETLELTPySparkPythonSQLdata engineeringdata processingdata validationdata governancedata infrastructure

Soft skills

collaborationcommunicationproblem-solvingattention to detailadaptabilityorganizational skillscross-functional teamworkanalytical thinkingtime managementcreativity

Certifications

Databricks Certificate