Location: Remote (U.S. Time Zone Preferred – LATAM Welcome)
Job Type: Full-time, Long-term Contract
Industry: Life Sciences / Healthcare

About the Role

We are seeking a Senior Data Engineer to join a mission-driven healthcare organization dedicated to transforming patient outcomes through data. In this role, you’ll play a key part in designing and implementing scalable, high-quality data systems that power analytics and reporting across the business.

You will collaborate with cross-functional teams to architect ELT pipelines, develop robust data models, and champion data governance practices. This is an excellent opportunity for a data engineer who thrives in fast-paced environments and wants to make an impact in the life sciences or healthcare space.

Responsibilities

• Design and implement scalable data models within our data lakehouse for analytics and reporting use cases.

• Build, optimize, and maintain modern ELT pipelines following best practices in data engineering.

• Collaborate with analytics, product, and data science teams to deliver data for decision-making, reporting, and modeling.

• Ensure compliance with data governance, security, and privacy regulations in partnership with compliance and IT.

• Contribute to and help shape our long-term data strategy, architecture, and tooling choices.

• Develop and maintain documentation such as data dictionaries, data flow diagrams, and architectural decisions.

• Implement data quality testing using tools such as dbt tests.

• Occasionally support Salesforce data pipelines and integrations for reporting and analytics.

Must-Have Qualifications

• 5+ years of experience in data engineering, data architecture, or analytics engineering.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.

• Advanced proficiency in SQL and Python for data transformation and automation.

• Expertise in data modeling, including:

  • Star & Snowflake schemas

  • Slowly Changing Dimensions (SCDs)

  • Normalized/Denormalized structures

  • One Big Table (OBT) design

• Hands-on experience with dbt in a production analytics stack.

• Experience with modern data platforms such as Databricks, Snowflake, BigQuery, or Redshift.

• Familiarity with Git-based development workflows and collaborative coding practices.

• Proficient with AWS (S3, EC2, IAM) and related data services.

• Experience with data documentation and cataloging tools.

• Understanding of BI/reporting models and supporting tools (e.g., QuickSight, Power BI, Sigma).

• Knowledge of U.S. healthcare systems and handling medical claims data.

• Experience in regulated industries (healthcare, pharma, or insurance).

• Familiarity with data privacy, security, and governance best practices.

Bonus Points For

• Experience with Apache Spark, especially on Databricks.

• Exposure to both OLTP and OLAP environments.

• Experience supporting data science or machine learning pipelines.

• Hands-on integration experience with Salesforce CRM.

• Familiarity with CI/CD tools like GitLab CI/CD, GitHub Actions, or CircleCI.

• Prior experience in a startup or high-growth company.

Why Join Us?

• Mission-driven environment focused on improving lives through data and innovation.

• Work with modern data technologies and architectures.

• Collaborate with a passionate, cross-functional team.

• Remote-first culture with flexibility across LATAM and U.S. time zones.

• Long-term engagement with real ownership over your work.