Data Engineer

About the job

What if the work you did every day could impact the lives of people you know? Or all of humanity?

At Illumina, we are expanding access to genomic technology to realize health equity for billions of people around the world. Our efforts enable life-changing discoveries that are transforming human health through the early detection and diagnosis of diseases and new treatment options for patients.

Working at Illumina means being part of something bigger than yourself. Every person, in every role, has the opportunity to make a difference. Surrounded by extraordinary people, inspiring leaders, and world changing projects, you will do more and become more than you ever thought possible.

Data Engineer 1 Illumina Digital Services (IDS)

Build the data foundations that power analytics, AI, and business decisions. Join Illumina's IDS team and help build modern data pipelines, platforms, and products that enable analytics, AI, reporting, and enterprise decision-making. This role is ideal for individuals who enjoy solving problems with data, learning new technologies, and building a career in Data Engineering. Working alongside experienced engineers, architects, analysts, product owners, and business stakeholders, you will gain hands-on experience with cloud technologies, modern data engineering practices, and AI-assisted development while contributing to enterprise-scale solutions. Work Environment

- This role follows Illumina's hybrid work model and requires employees to work from the office a minimum of three days per week.

- Collaborate with experienced engineers, architects, analysts, product owners, and business stakeholders.

- Gain exposure to modern cloud technologies, enterprise-scale data platforms, and AI-assisted development practices.

- Learn in an environment that encourages mentorship, innovation, continuous development, and knowledge sharing.

- Work with global teams across functions, geographies, and time zones. What You'll Do

- Build, test, and maintain data pipelines, transformations, and data models using modern data engineering practices.

- Integrate data from applications, APIs, databases, cloud platforms, and file-based sources.

- Perform data validation, reconciliation, and quality checks to ensure data accuracy and reliability.

- Monitor and troubleshoot data pipelines and support production operations.

- Apply engineering best practices for performance optimization, testing, version control, deployment, and documentation.

- Participate in code reviews, Agile ceremonies, and technical discussions.

- Collaborate across teams to deliver reliable and scalable data solutions.

- Use AI-assisted development tools responsibly to improve productivity while maintaining quality, security, and data integrity. What We're Looking For We recognize that candidates may not have experience with every technology listed. We value learning agility, curiosity, problem-solving ability, and practical application demonstrated through academic projects, internships, hackathons, open-source contributions, or independent learning. Required Qualifications

- Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, or a related discipline.

- Foundational SQL and Python skills gained through coursework, projects, internships, hackathons, or independent learning.

- Understanding of relational databases, data modeling, and ETL/ELT concepts.

- Strong analytical and problem-solving skills with attention to detail.

- Effective communication and collaboration skills.

- Demonstrated ownership, curiosity, integrity, adaptability, and commitment to continuous learning. Preferred Exposure Experience or exposure to one or more of the following is a plus:

- Cloud platforms such as Azure, AWS, or Google Cloud.

- Data engineering technologies such as dbt, Spark, Snowflake, Databricks, or similar platforms.

- Git, testing frameworks, CI/CD, or software engineering best practices.

- Data formats such as JSON, CSV, Parquet, or Delta Lake.

- AI-assisted development tools such as GitHub Copilot, Microsoft Copilot, ChatGPT, or similar technologies. What Success Looks Like

- Learn Quickly – Develop practical capability in SQL, Python, cloud technologies, and data engineering fundamentals.

- Deliver Reliably – Produce high-quality, tested, and documented solutions.

- Take Ownership – Communicate proactively, seek feedback, and continuously improve.

- Collaborate Effectively – Contribute positively within Agile and cross-functional teams.

- Maintain Quality and Security – Treat data quality, reliability, privacy, and security as essential.

Join Us We encourage applicants to apply even if their experience does not align perfectly with every qualification. We value learning agility, curiosity, problem-solving ability, and a passion for technology, data, and continuous improvement. If you're excited about building a career in Data Engineering and making an impact through data, we'd love to hear from you.

We are a company deeply rooted in belonging, promoting an inclusive environment where employees feel valued and empowered to contribute to our mission. Built on a strong foundation, Illumina has always prioritized openness, collaboration, and seeking alternative perspectives to propel innovation in genomics. We are proud to confirm a zero-net gap in pay, regardless of gender, ethnicity, or race. We also have several Employee Resource Groups (ERG) that deliver career development experiences, increase cultural awareness, and offer opportunities to engage in social responsibility. We are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information. Illumina conducts background checks on applicants for whom a conditional offer of employment has been made. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable local, state, and federal laws. Background check results may potentially result in the withdrawal of a conditional offer of employment. The background check process and any decisions made as a result shall be made in accordance with all applicable local, state, and federal laws. Illumina prohibits the use of generative artificial intelligence (AI) in the application and interview process. If you require accommodation to complete the application or interview process, please contact accommodations@illumina.com. To learn more, visit: https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf. The position will be posted until a final candidate is selected or the requisition has a sufficient number of qualified applicants. This role is not eligible for visa sponsorship.