Senior Data Platform Engineer

Poland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Health & Fitness, Mobile ApplicationsIndustries

Requirements

Candidates must have proven expertise as a Data Engineer or Python Developer with experience in AWS Cloud Infrastructure (Redshift, S3, MWAA, RDS, Kinesis, SQS, Lambda, Glue), AWS Redshift administration and optimization, automation using Python and SQL, streaming and micro-batching ETL, DBT, GitLab administration, designing and creating APIs, creating design solutions and large-scale architecture, third-party integration, database administration (PostgreSQL, MySQL), data transformation, and ETL problem-solving. A strong understanding of queueing mechanisms, CI/CD knowledge (GitLab CI), and monitoring/logging knowledge (Grafana, Graylog, Datadog) is also required. Experience with DWH (Snowflake), PySpark, and event schema validation processes is considered a plus.

Responsibilities

The Senior Data Platform Engineer will participate in project architecture and design creation, code review, and CI/CD processes. They will develop, optimize, and maintain ETL/ELT processes to ensure data quality and consistency. Responsibilities include collaborating with data analysis and product development teams to ensure efficient, reliable, and scalable data pipelines, integrating and delivering data, testing new approaches through PoCs and benchmarks, monitoring and troubleshooting data processing systems, and developing structured data marts from raw data.

Skills

Data Engineering

Python

AWS

ETL

ELT

CI/CD

Data Pipelines

Data Integration

System Monitoring

Troubleshooting

Architecture

Design

Code Review

Proof of Concept (PoC)

Benchmarking

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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