Data Engineer, Analytics

Personify Health; Tuzla; Presencial; TRY 400 000 - 700 000; Tempo integral

Resumo da oferta

Personify Health, Inc. in Tuzla, Turkey, seeks a data engineer to design and operate scalable ETL/ELT pipelines for healthcare analytics. You will build data models and data marts, collaborate with analysts and data scientists, and ensure data quality across the data warehouse.

You will develop production SQL and Python, optimize warehouse performance, and automate reporting. The role requires deep knowledge of data tooling and compliance with healthcare data standards, with opportunities to

Qualificações

• Bachelor’s degree in a related field and 3+ years of data engineering or analytics experience.
• Experience with large healthcare datasets and data quality controls.
• Familiarity with HIPAA/healthcare data governance is a plus.

Responsabilidades

• Design and build scalable ETL/ELT pipelines ingesting claims, enrollment, provider, and finance data.
• Develop data models and data marts to support BI, reporting, and ML initiatives.
• Ensure data quality with automated validation, auditing, and monitoring.
• Maintain and optimize the enterprise analytics data warehouse for performance and cost.
• Collaborate with analysts, scientists, and stakeholders to deliver analytics-ready data.
• Write production SQL and Python to access, transform, and prepare data for analysis.
• Automate reporting workflows and support ad hoc analytics across teams.
• Manage project workflows using Smartsheet, Microsoft, and Atlassian tools.

Conhecimentos

SQL

Python

Scala/Java

Data warehousing concepts

Formação académica

Bachelor's degree in Computer Science / Information Systems / Engineering

Ferramentas

Snowflake

Redshift

BigQuery

Synapse

AWS Glue

Azure Data Factory

Databricks

Descrição da oferta de emprego

Overview

Who We Are

Because health is personal. That's why Personify Health created the first and only personalized health platform-bridging health plan administration, holistic wellbeing solutions, and comprehensive care navigation together in one place. We serve employers, health plans, and health systems with data-driven solutions that reduce costs while actually improving health outcomes. Together, our team is on a mission to empower people to lead healthier lives.

Learn even more about the work that drives us at personifyhealth.com.

Responsibilities

Ready ToBuild the Data Pipelines and Models That Power Analytics Across a Complex Healthcare TPA Platform?

Why This Role Matters

Healthcare TPA data is messy, high-stakes, and consequential - claims, enrollment, provider, and finance data that has to be accurate, timely, and compliant before it can power any meaningful analytics. This role designs and builds the pipelines, data models, and infrastructure that make that possible for the Enterprise Reporting and Analytics team. You work end-to-end: from ingestion through transformation, stakeholder collaboration, and automated reporting - owning projects from start to finish.

What You'll Actually Do

Design and build scalable ETL/ELT pipelines: Develop pipelines that ingest and transform data from claims, enrollment, provider, finance, and other sources into analytics-ready formats.

Build data models and data marts: Partner with Data Analysts, Data Scientists, and business stakeholders to implement dimensional models and data marts that support BI, reporting, and machine learning initiatives.

Ensure data quality and integrity: Build automated validation, auditing, and monitoring processes that catch data issues before they reach stakeholders.

Optimize warehouse infrastructure: Maintain and improve the enterprise analytics data warehouse - tuning pipeline and compute performance and managing storage efficiency.

Support data integration projects: Manage data exchanges with clients, carriers, vendors, and regulatory bodies - ensuring accuracy, timeliness, and compliance with healthcare regulations.

Write production SQL and Python: Develop SQL and Python programs to access, clean, and transform data prior to analysis and reporting.

Build reporting automation: Develop automation solutions for operational workflows and reporting that reduce manual effort and improve consistency.

Conduct ad hoc analysis: Support cross-functional partners in Product, Reporting, Analytics, and Account Management with targeted data analysis and findings communicated in formats aligned to client reporting standards.

Manage project workflows: Use Smartsheet, Microsoft, and Atlassian toolsets to keep projects, milestones, and documentation organized and on schedule.

Qualifications

What You Bring to Our Team

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field - or equivalent experience; advanced degree a plus
• 3+ years of experience in data engineering or analytics engineering, ideally within a TPA, healthcare, insurance, or claims processing environment
• Experience working with large healthcare claims datasets including medical, pharmacy, and dental claims
• Awareness of healthcare regulations including HIPAA, ACA, and CMS rules
• Knowledge of TPA operations, self-funded insurance models, and employer-sponsored health plans a plus
• Knowledge of population health analytics and clinical care management programs a plus

Technical Skills

• Strong SQL proficiency and experience in Python, Scala, or Java
• Hands-on experience with modern data warehouse platforms: Snowflake, Redshift, BigQuery, or Synapse
• Experience with cloud platforms and cloud-native data tools: AWS Glue, Azure Data Factory, Databricks, or equivalent
• Experience with data modeling concepts including star and snowflake schemas and dimensional modeling
• Experience with BI and dashboard/visualization tools
• Familiarity with Smartsheet, Microsoft Office Suite, and Atlassian toolsets for project and documentation management

Our Commitment:Personify Health is an equal opportunity employer committed to diversity, equity, inclusion, and belonging. We cultivate a work environment where differences are celebrated, and employees of all backgrounds are empowered to thrive - because diversity is core to who we are and critical to our work in health and wellbeing.