[Hiring] Data Engineer, Enterprise Data, Analytics and Innovation @Vaniam Group

Role Description

Are you passionate about building robust data infrastructure and enabling innovation through engineering excellence? As our Data Engineer, your goal is to own and evolve the foundation of our data infrastructure. You will be central in ensuring data reliability, scalability, and accessibility across our lakehouse and transactional systems. This role is ideal for someone who thrives at the intersection of engineering and innovation, ensuring our data platforms are robust today while enabling the products of tomorrow.

A Day in the Life

• Lakehouse and Pipelines
  • Design, build, and operate reliable ETL and ELT pipelines in Python and SQL.
  • Manage ingestion into Bronze, standardization and quality in Silver, and curated serving in Gold layers of our Medallion architecture.
  • Maintain ingestion from transactional MySQL systems into Vaniam Core to keep production data flows seamless.
  • Implement observability, data quality checks, and lineage tracking to ensure trust in all downstream datasets.
• Data Modeling and Governance
  • Develop schemas, tables, and views optimized for analytics, APIs, and product use cases.
  • Apply and enforce best practices for security, privacy, compliance, and access control, ensuring data integrity across sensitive healthcare domains.
  • Maintain clear and consistent documentation for datasets, pipelines, and operating procedures.
• Integration of New Data Sources
  • Lead the integration of third-party datasets, client-provided sources, and new product-generated data into Vaniam Core.
  • Partner with product and innovation teams to build repeatable processes for onboarding new data streams.
  • Ensure harmonization, normalization, and governance across varied data types (scientific, engagement, operational).
• Analytics and Predictive Tools
  • Collaborate with the innovation team to prototype and productionize analytics, predictive features, and decision-support tools.
  • Support dashboards, APIs, and services that activate insights for internal stakeholders and clients.
  • Work closely with Data Science and AI colleagues to ensure engineered pipelines meet modeling and deployment requirements.
• Reliability and Optimization
  • Monitor job execution, storage, and cluster performance, ensuring cost efficiency and uptime.
  • Troubleshoot and resolve data issues, proactively addressing bottlenecks.
  • Conduct code reviews, enforce standards, and contribute to CI/CD practices for data pipelines.

Qualifications

• 5+ years of professional experience in data engineering, ETL, or related roles.
• Strong proficiency in Python and SQL for data engineering.
• Hands-on experience building and maintaining pipelines in a lakehouse or modern data platform.
• Practical understanding of Medallion architectures and layered data design.

Requirements

• Familiarity with modern data stack tools, including:
  • Spark or PySpark
  • Workflow orchestration (Airflow, dbt, or similar)
  • Testing and observability frameworks
  • Containers (Docker) and Git-based version control
• Excellent communication skills, problem-solving mindset, and a collaborative approach.

Benefits

• 100% remote environment with opportunities for local meet-ups.
• Positive, diverse, and supportive culture.
• Passionate about serving clients focused on Cancer and Blood diseases.
• Investment in you with opportunities for professional growth and personal development through Vaniam Group University.
• Health benefits – medical, dental, vision.
• Generous parental leave benefit.
• Focused on your financial future with a 401(k) Plan and company match.
• Flexible Time Off policy for rest and relaxation.
• Volunteer Time Off for community involvement.
• Emphasis on Personal Wellness.
• Virtual workout classes.
• Discounts on tickets, events, hotels, child care, groceries, etc.
• Employee Assistance Programs.
• Salary offers are based upon several factors including experience, education, skills, training, demonstrated qualifications, location, and organizational need. The range for this role is $110,000 - $125,000.