Data Engineer I

Reposted 4 Days Ago
Chicago, IL
Hybrid
70K-90K Annually
Junior
Artificial Intelligence • Big Data • Healthtech • Machine Learning • Analytics • Biotech • Generative AI
Tempus is a technology company leading the adoption of AI to advance precision medicine and patient care.
The Role
The role involves building and maintaining data pipelines, collaborating with teams for reliable data solutions, and supporting data governance.
Summary Generated by Built In

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

What You’ll Do
  • Build, maintain and scale data pipelines and models that power analytics, reporting, and self-service exploration.

  • Collaborate with BI engineers, product managers, and engineering teams to translate business needs into reliable data solutions.

  • Support data governance, including data quality monitoring and audits.

  • Contribute to the evolution of the BI data platform by applying best practices in data modeling, orchestration, and governance.

  • Investigate and resolve complex data issues in partnership with cross-function teams.

Qualifications
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, Mathematics, or related field.

  • 2+ years of experience developing and maintaining data pipelines in cloud environments.

  • Strong SQL and Python skills for large-scale data analysis and engineering.

  • Experience working with business stakeholders to gather requirements and deliver end-to-end solutions.

  • Good communication and organization skills

Nice to Have
  • Experience with GCP, including BigQuery, Cloud Storage, Datastream, and Pub/Sub

  • Experience with orchestration tools (Airflow) and data modeling tools (dbt).

  • Familiarity with BI/visualization platforms (Looker) and APIs/SaaS integrations

  • Exposure to CI/CD pipelines or automated testing for data workflows

#LI-SH1
#LI-Hybrid

CHI: $70,000-90,000

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. 

Top Skills

Airflow
BigQuery
Cloud Storage
Datastream
Dbt
GCP
Looker
Pub/Sub
Python
SQL

What the Team is Saying

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The Company
HQ: Chicago, IL
3,775 Employees
Year Founded: 2015

What We Do

We bring together one of the world’s largest libraries of multimodal clinical and molecular data with a robust suite of AI tools to help physicians personalize care in real time, connect patients with therapies and clinical trials, and enable partners to accelerate discovery and development of new treatments.

With ~8 million de-identified research records and 350+ petabytes of data, Tempus partners with more than half of U.S. oncologists and the majority of the top 20 global pharma companies. Our teams are pioneering work across oncology, neurology, psychiatry, cardiology, and beyond—transforming how care is delivered and therapies are developed.

At Tempus, every role contributes to our mission: to help each patient benefit from the experiences of those who came before.

For more information, visit tempus.com.

Why Work With Us

We’re looking for people who can change the world. People who question the status quo and refuse to shy away from tough problems. For builders who are never done building, and the learners who are never done learning. Passionate individuals with undying curiosity who want to take on one of the greatest challenges humanity has ever faced—head on.

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Tempus AI Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Most of the team follows a hybrid policy, with some roles allowing for a fully remote arrangement and some roles being onsite only.

Typical time on-site: 3 days a week
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