Data Engineer (Redshift)

Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Health & Fitness, WellnessIndustries

Requirements

Candidates should have 2-3+ years of experience in data engineering, backend development, or similar technical roles, with practical experience in AWS services such as Redshift, S3, and Glue. Solid skills in Python and SQL for data extraction, transformation, and scripting are required, along with familiarity with dbt for data transformation and documentation, or a strong interest in learning it. Exposure to streaming or micro-batching concepts and tools, understanding of CI/CD workflows (ideally using GitLab CI), and willingness to work with event schema validation tools are also necessary. Strong communication and collaboration skills, experience working with APIs and integrations, and a detail-oriented, proactive, and curious mindset are essential.

Responsibilities

The Data Engineer will be responsible for building and maintaining ETL/ELT workflows using modern data tools and cloud services to ensure accurate, timely, and accessible data. They will implement and maintain data models for analytics use cases, collaborate with data analysts, product teams, and fellow engineers to gather requirements and support data delivery, and apply basic data validation checks to maintain high data quality. Responsibilities also include monitoring pipeline health, troubleshooting operational issues, contributing to scripting and automation of data workflows using Python and SQL, and working with GitLab CI pipelines for data deployments.

Skills

Data Pipelines

ETL

ELT

Data Modeling

Data Transformation

Data Quality

SQL

Redshift

Cloud Services

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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