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Personify Health

delivers personalized health and wellbeing solutions

Senior Data Platform Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 5 years of experience in data or software engineering, including at least 3 years focused on data platforms or big data.
  • Production experience building and running data systems at real scale.
  • Hands-on experience with large-scale data transformation.
  • Experience building and operating data pipelines and data lakes.
  • Hands-on experience with open table formats such as Apache Iceberg or Delta Lake, including schema evolution, partitioning, and time travel.
  • Experience with workflow orchestration tools such as Airflow, Dagster, or similar tools.
  • Practical experience with data governance, including data quality, personally identifiable information (PII) and protected health information (PHI) handling, and freshness monitoring.
  • Proficiency in SQL and Python.

Responsibilities

  • Design, build, and operate scalable data pipelines that reliably move data from product systems into the data lake.
  • Construct and maintain large-scale transformations and curated datasets on open table formats for Reporting & Analytics.
  • Implement data quality checks, freshness monitoring, alerting, and lineage to identify problems before users notice them.
  • Implement access management, masking, encryption, and auditability to protect PII and PHI and meet regulatory requirements.
  • Onboard new product delivery team data sources and define the data contracts behind them.
  • Optimize pipeline and table performance while monitoring and controlling cloud infrastructure costs.
  • Participate in architecture and code reviews, share knowledge, and raise the technical quality of the team’s output.
  • Share on-call responsibility for the platform and respond to incidents.

Desired Qualifications

  • Experience in healthcare, benefits, insurance, or another regulated industry.
  • Experience with Apache Spark.
  • Experience with Apache Kafka and event-driven architecture.
  • Experience with distributed systems and microservices as data producers.

About the Company

Personify Health

delivers personalized health and wellbeing solutions

Personify Health provides personalized health and wellbeing solutions for healthcare organizations, targeting health networks, employers, and plan administrators to engage members and lower costs. Its platform combines mental health, family planning, financial wellness, and nutrition services through advanced technology and partnerships to deliver customized health offerings and streamlined health plan administration. The company differentiates itself by delivering a holistic, data-driven approach that integrates multiple wellbeing domains and aligns services with each client’s goals, rather than offering one-size-fits-all programs. Its aim is to create a more engaging healthcare experience by connecting data and resources on its platform, ultimately empowering people to lead healthier lives and enabling cost-effective care for organizations.

Company size
1,001-5,000
Company stage
Series A
Total funding
$99.7M
Headquarters
Framingham, MA
Founded
2004

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