Senior Data Engineer

3 semanas atrás

Brasil F1servicecentre Tempo inteiro
Looking for Middle PHP OR Python developer Ukraine/Remote and Senior Python developer Europe/Remote

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.

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