Wellth

Senior Data Engineer

Poland

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Health & FitnessIndustries

Position Overview

  • Location Type: Remote
  • Job Type: Full-Time
  • Salary: Not specified

Welcome to Welltech—where health meets innovation! 🌍 As a global leader in the Health & Fitness industry, Welltech has achieved over 200 million installs with three life-changing apps designed to boost well-being for millions. Our mission is to transform lives through intuitive nutrition trackers, powerful fitness solutions, and personalized wellness journeys, all powered by a diverse team of over 700 passionate professionals across 5 hubs.

At Welltech, we strive to be proactive wellness partners for our users while continually evolving ourselves.

What We're Looking For

As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product features, and enable data-driven decision-making across the company.

This role is perfect for someone who combines deep technical skills with a proactive mindset and thrives on solving complex data challenges in a collaborative environment.

Challenges You’ll Meet

  • Pipeline Development and Optimization: Build and maintain reliable, scalable ETL/ELT pipelines using modern tools and best practices, ensuring efficient data flow for analytics and insights.
  • Data Modeling and Transformation: Design and implement effective data models that support business needs, enabling high-quality reporting and downstream analytics.
  • Collaboration Across Teams: Work closely with data analysts, product managers, and other engineers to understand data requirements and deliver solutions that meet the needs of the business.
  • Ensuring Data Quality: Develop and apply data quality checks, validation frameworks, and monitoring to ensure the consistency, accuracy, and reliability of data.
  • Performance and Efficiency: Identify and address performance issues in pipelines, queries, and data storage. Suggest and implement optimizations that enhance speed and reliability.
  • Security and Compliance: Follow data security best practices and ensure pipelines are built to meet data privacy and compliance standards.
  • Innovation and Continuous Improvement: Test new tools and approaches by building Proof of Concepts (PoCs) and conducting performance benchmarks to find the best solutions.
  • Automation and CI/CD Practices: Contribute to the development of robust CI/CD pipelines (GitLab CI or similar) for data workflows, supporting automated testing and deployment.

You Should Have

  • 4+ years of experience in data engineering or backend development, with a strong focus on building production-grade data pipelines.
  • Solid experience working with AWS services (Redshift, Spectrum, S3, RDS, Glue, Lambda, Kinesis, SQS).
  • Proficient in Python and SQL for data transformation and automation.
  • Experience with dbt for data modeling and transformation.
  • Good understanding of streaming architectures and micro-batching for real-time data needs.
  • Experience with CI/CD pipelines for data workflows (preferably GitLab CI).
  • Familiarity with event schema validation tools/ solutions (Snowplow, Schema Registry).
  • Excellent communication and collaboration skills.
  • Strong problem-solving skills—able to dig into data issues, propose solutions, and deliver clean, reliable outcomes.
  • A growth mindset—enthusiastic about learning new tools, sharing knowledge, and improving team practices.

Tech Stack You’ll Work With

  • Cloud: AWS (Redshift, Spectrum, S3, RDS, Lambda, Kinesis, SQS, Glue, MWAA)
  • Languages: Python, SQL
  • Orchestration: Airflow (MWAA)
  • Modeling: dbt
  • CI/CD: GitLab CI (including GitLab administration)
  • Monitoring: Datadog, Grafana, Graylog
  • Event validation process: Iglu schema registry
  • APIs & Integrations: REST, OAuth, webhook ingestion
  • Infra-as-code (optional): Terraform

Skills

ETL/ELT pipelines
Data modeling
Data transformation
Data quality checks
Data validation
Monitoring
Collaboration
Scalability
Performance optimization

Wellth

Improves patient adherence to treatment plans

About Wellth

Wellth focuses on enhancing patient adherence to treatment plans through personalized programs based on evidence and behavioral economics. The company targets individuals who have difficulty maintaining health habits, such as taking medications or following treatment protocols, particularly in the areas of behavioral health and chronic disease management. Wellth tailors each member's experience to their specific needs, using insights from behavioral economics to tackle the reasons behind non-adherence and help members develop sustainable healthy habits. The company operates on an outcome-based payment model, meaning it only receives payment when its programs demonstrate validated success. This model appeals to healthcare providers, insurers, and employers who aim to lower healthcare costs by improving patient outcomes. Wellth's goal is to foster long-term relationships with its members while driving behaviors that positively impact healthcare costs and outcomes.

Culver City, CaliforniaHeadquarters
2014Year Founded
$36.5MTotal Funding
SERIES_BCompany Stage
HealthcareIndustries
51-200Employees

Benefits

Flexible Work Hours
Unlimited Paid Time Off
Parental Leave
Health Insurance
Dental Insurance
Vision Insurance
Health Savings Account/Flexible Spending Account
Performance Bonus

Risks

Increased competition from platforms like Omada Health and Livongo.
Regulatory scrutiny on AI and patient data may increase compliance costs.
Dependence on outcome-based models poses financial risks if outcomes aren't achieved.

Differentiation

Wellth uses behavioral economics to improve adherence in chronic disease populations.
The company offers a personalized mobile platform for patient engagement and habit formation.
Wellth's outcome-based payment model ensures payment only for successful program outcomes.

Upsides

Growing demand for digital health solutions supports Wellth's personalized programs.
AI integration enhances patient engagement, aligning with Wellth's recent feature launch.
Partnerships with Medicaid plans expand Wellth's reach in chronic condition management.

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