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Personify Health

delivers personalized health and wellbeing solutions

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeTuzla, Bosnia and HerzegovinaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Information Systems, Engineering, Data Analytics, or a related field, or equivalent practical experience.
  • At least 3 years of experience in Data Engineering, Data Operations, Analytics Engineering, or a production support environment.
  • Proven experience supporting business-critical data platforms in a production environment.
  • Experience performing root cause analysis and resolving complex technical incidents.
  • Demonstrated ability to mentor junior team members and provide technical leadership.
  • Advanced SQL development and query performance optimization.
  • Strong knowledge of relational databases such as PostgreSQL, SQL Server, Oracle, or similar.
  • Experience with cloud data platforms such as Snowflake, Azure Data Services, AWS, or Google Cloud.
  • Strong understanding of ETL/ELT processes, data pipelines, and data integration patterns.
  • Experience troubleshooting data quality, availability, and lineage issues.
  • Knowledge of data warehousing concepts and dimensional modeling.
  • Experience with monitoring, alerting, and observability tooling.
  • Familiarity with Python, PowerShell, or similar scripting and automation technologies.
  • Understanding of CI/CD practices and Git-based version control.
  • Knowledge of data governance, security, and operational best practices.

Responsibilities

  • Serve as the team's primary technical escalation point for production data platform issues by performing root cause analysis, driving remediation, and preventing recurrence.
  • Track file movements between clients, vendors, and internal systems, identifying and resolving errors in SFTP connections, import/export files, and eligibility files before they escalate.
  • Diagnose technical issues from enrollment changes or improper EDI setup, coordinate resolution with engineering partners, and manage ongoing EDI testing, implementations, and upgrades.
  • Compare reports and data files against documented requirements to identify quality gaps and keep pipelines accurate and compliant.
  • Identify patterns in operational issues and lead initiatives that improve platform stability, reliability, and team efficiency over time.
  • Share technical knowledge, provide hands-on guidance, and build team capability through coaching and knowledge transfer.
  • Keep end users, the Team Lead, and the DataOps Manager informed about issue status, translating technical findings into plain language operational teams can act on.

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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