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CancerIQ

Data Engineer

Posted 3 Days Ago
Remote
Hiring Remotely in United States
Mid level
Remote
Hiring Remotely in United States
Mid level
The Data Engineer will maintain and enhance ETL processes, optimize data pipelines, support reporting needs, and ensure data integrity while collaborating with multiple teams.
The summary above was generated by AI

Description
The Company

At CancerIQ, our technology is expanding access to precision cancer prevention, early detection, and treatment to more patient populations. We build software and design services that make it easy for health systems to use genetic information to get ahead of cancer at scale. Our best-in-class, science-based platform is proven to double genetic counseling service capacity, quadruple genetic testing uptake, and significantly improve screening compliance.

To date, CancerIQ has raised over $26 million to deliver on our mission, with our Series B funding round led by Merck Global Health Innovation Fund and Amgen Ventures.

Our team is made up of a committed, all-in group of people who are as driven to ending cancer as we know it as the providers and patients we serve. This has led to a growing network of over 200 clinical locations across the country, with a robust ecosystem of partners in the diagnostic and genomics space behind us. But we’re committed to scaling quickly – in this era of tremendous progress against cancer, we’re looking for people to be just as tremendously committed to their work at CancerIQ. If you want your work to matter, join us.

Overview

We are seeking a Mid-Level Data Engineer to join our growing team at CancerIQ. The ideal candidate will have a strong foundation in software engineering and data management, with the ability to both maintain and enhance existing codebases and support reporting needs across the organization. This role will involve maintaining pipelines, debugging and updating scripts, optimizing data infrastructure, and ensuring accurate reporting for internal and external stakeholders.

The ideal candidate is excited by the opportunity to work in a mission-driven environment where their skills will directly contribute to improving patient outcomes.

Key Responsibilities

  • Maintain, debug, and enhance existing ETL processes, data models, and reporting codebases.
  • Build and optimize data pipelines, integrations, and reports to support operational, clinical, and business analytics.
  • Collaborate with product, engineering, and customer success teams to understand evolving data needs and translate them into actionable solutions.
  • Ensure data integrity and reliability across multiple environments (development, staging, production).
  • Write efficient SQL queries and manage relational databases (primarily PostgreSQL).
  • Develop and maintain documentation for codebases, data dictionaries, and workflows.
  • Support ad hoc reporting requests by querying databases and preparing data extracts.
  • Monitor data jobs and troubleshoot errors proactively.
  • Implement best practices for data governance, privacy, and security (particularly PHI and HIPAA compliance).
  • Partner with stakeholders to automate routine reporting tasks and improve accessibility of data insights.
Requirements
Position Requirements
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
  • 3–5 years of professional experience in a data engineering or software engineering role.
  • Proficiency in SQL (PostgreSQL preferred) and experience with data modeling and database optimization.
  • Proficiency with a data visualization tool (e.g., Metabase, Looker, Tableau).
  • Experience with Python or similar scripting languages for data manipulation and workflow automation.
  • Ability to understand and maintain existing codebases and pipelines.
  • Strong analytical and problem-solving skills, with high attention to detail.
  • Comfort working in a fast-paced, evolving environment.
  • Excellent communication skills with a collaborative mindset.

Nice to Have

  • Experience with modern data stack tools (e.g., dbt, Airflow, Fivetran, Snowflake).
  • Familiarity with healthcare data standards (e.g., HL7, FHIR) or experience working with clinical data.
  • Knowledge of cloud platforms such as Google Cloud Platform (GCP) or AWS.
  • Exposure to PHI data handling and HIPAA compliance.
  • Comfortability with AI tools like ChatGPT for task automation and support.
Benefits
Company Benefits
  • Competitive pay and benefits (Health, Vision, Dental, HSA/FSA, EAP, 401-K, Commuter Benefits).
  • Headquartered in Chicago's iconic Wrigley Building, with complementary Water Taxi service to and from Union and Ogilvy Stations.
  • Complementary gym membership with daily instructor-led classes located in the building.
  • Generous company-paid holidays and monthly CancerIQ mental health days.
  • Formal training and professional development opportunities.
  • Bi-annual "All Hands" weeks where local Chicago employees convene and connect with employees based in other cities.
  • Passionate, high-energy culture with a team of people that are excited to get stuff done and make an impact.
  • Building things that save lives.

Top Skills

Airflow
AWS
Dbt
Fivetran
Google Cloud Platform
Looker
Metabase
Postgres
Python
Snowflake
SQL
Tableau
HQ

CancerIQ Chicago, Illinois, USA Office

In the River North neighborhood that offers an authentic live-work-play lifestyle. It's right across from the Red Line, plenty of bars and restaurants

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