Data Engineer I at Tempus

Chicago, Illinois, United States

Tempus Logo
$70,000 – $90,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
HealthcareIndustries

Requirements

  • 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

Responsibilities

  • 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

Skills

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

Tempus

AI-driven healthcare data analysis platform

About Tempus

Tempus focuses on enhancing patient outcomes through the use of data and artificial intelligence in healthcare. The company offers a platform that analyzes medical data to provide insights for physicians, helping them make better treatment decisions. This platform also aids pharmaceutical and biotech companies in drug development by identifying new targets and assessing treatment effectiveness. For patients, Tempus identifies personalized therapy options, particularly in cancer care, where their research has shown increased opportunities for tailored treatments. They have developed a pan-cancer organoid platform and a liquid biopsy assay for profiling circulating tumor DNA. Tempus generates revenue by charging healthcare providers and companies for access to their platform and insights, setting them apart from competitors by their focus on personalized medicine and extensive cancer research.

Chicago, IllinoisHeadquarters
2015Year Founded
$894.9MTotal Funding
IPOCompany Stage
AI & Machine Learning, Biotechnology, HealthcareIndustries
1,001-5,000Employees

Benefits

Relocation Assistance
Company Equity
Performance Bonus

Risks

Competition from partners like Genialis may lead to conflicts of interest.
Ambry Genetics acquisition could pose financial risks if synergies aren't realized.
Technical challenges may arise in integration with Flatiron's OncoEMR platform.

Differentiation

Tempus uses AI to analyze clinical and molecular data for precision medicine.
Their platform aids in personalized treatment decisions for cancer patients.
Tempus collaborates with biotech firms to enhance drug development using real-world data.

Upsides

Increased AI adoption in healthcare boosts Tempus' partnerships and collaborations.
Acquisition of Ambry Genetics expands Tempus' genetic testing capabilities.
Integration with Flatiron's OncoEMR enhances precision in cancer treatment plans.

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