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Data Engineer - Cloud Data Platform (Snowflake & dbt)
AssistRxUnited StatesAbout AssistRxAssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, a
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Data Engineer - Cloud Data Platform (Snowflake & dbt)
- United States
- United States
Über
AssistRx transforms the patient journey through technology—helping patients access life-saving therapies faster and more efficiently. Our platform connects patients, providers, payers, and manufacturers through secure, scalable, data-driven solutions that power better decisions and better outcomes across the healthcare ecosystem. If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Role Overview
AssistRx is seeking a
Senior Data Engineer
to join our
Cloud Data Platform (CDP | Architecture)
team. This role is
highly hands-on
and focused on designing, building, and scaling our modern data platform— with Snowflake and dbt as core, non-negotiable technologies . You will play a critical role in shaping AssistRx’s enterprise data architecture, owning transformation logic, performance optimization, and data modeling patterns that support analytics, reporting, and downstream products across the organization. This is not an entry-level or tool-learning role. We are looking for someone who can
contribute immediately
in a production Snowflake + dbt environment and help set technical standards for the broader data organization. What You’ll Do
Cloud Data Platform & Architecture
Design, build, and optimize
Snowflake-centric data architectures
to support enterprise analytics, reporting, and operational use cases Own
dbt transformation layers , including model design, testing, documentation, and deployment best practices Implement scalable data modeling patterns (star schemas, data vault, dimensional models) aligned to business needs Data Engineering & Pipelines
Develop and maintain reliable data pipelines integrating sources such as
Salesforce, application databases, and external client data Ensure data quality through validation, testing, monitoring, and observability frameworks Optimize Snowflake performance and cost through query tuning, warehouse design, and efficient data modeling Collaboration & Enablement
Partner closely with Analytics, BI, Product, and Engineering teams to deliver trusted, analytics-ready datasets Contribute to architectural standards, code reviews, and best practices across the CDP team Document data flows, models, and platform decisions to support long-term scalability and knowledge sharing Governance, Security & Compliance
Ensure data pipelines and models meet
PHI / PII / HIPAA
compliance requirements Support secure access patterns, role-based permissions, and data governance controls Requirements Required Qualifications
This role requires strong, hands-on experience in the following areas: 6+ years
of experience in data engineering, analytics engineering, or backend data development Advanced Snowflake expertise
in a production environment (performance tuning, architecture, optimization) Strong dbt experience
building and maintaining transformation layers at scale Expert-level
SQL
skills, including complex transformations and performance optimization Experience designing and supporting
cloud-based data platforms
(Snowflake preferred) Hands-on experience integrating data from SaaS platforms (e.g., Salesforce) and operational systems Familiarity with CI/CD concepts for analytics engineering (version control, deployments, testing) Strong understanding of data modeling best practices for analytics and reporting Nice to Have (Not Required)
Experience in
healthcare, life sciences, or regulated environments Python experience for data engineering or automation Familiarity with Azure-based data tooling (ADF, storage, compute) Exposure to BI tools such as Power BI, Tableau, or ThoughtSpot Why This Role Matters
You’ll help define
AssistRx’s enterprise data foundation Your work will directly impact executive decision-making, client reporting, and patient-centric solutions You’ll join a team that values
clean architecture, strong engineering standards, and real ownership Annual salary
Between the range from $90,000 - $125,000 Benefits Supportive, progressive, fast-paced environment Competitive pay structure Matching 401(k) with immediate vesting Medical, dental, vision, life, & short-term disability insurance Opportunity to
impact patient outcomes
through data-driven healthcare technology. Collaborative and
mission-driven culture
that values innovation and continuous learning. Access to
cutting-edge cloud technologies
and modern data engineering tools. Competitive compensation, comprehensive benefits, and career growth opportunities
AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non-merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre-employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire
Sprachkenntnisse
- English
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