Data Engineer III - (Data Platforms) jobs in United States
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Cedar · 1 day ago

Data Engineer III - (Data Platforms)

Cedar is a leading healthcare technology company focused on improving the healthcare system through data science and smart product design. The Data Engineer III role involves designing and maintaining scalable data pipelines, modernizing legacy data flows, and collaborating with cross-functional teams to ensure data quality and usability.

BillingFinTechHealth CareMedicalPayments
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design, build, and maintain scalable ELT/ETL pipelines that power core use cases including client billing, financial reporting, product analytics, and data services for downstream teams (Finance, Data Science, Commercial Analytics, Product)
Modernize legacy data flows by migrating SQL- and Liquibase-based transformations into dbt, with solid testing, documentation and data contracts
Improve reliability and observability of our data platform by applying best practices in testing, monitoring, alerting and runbook-driven operations for pipelines orchestrated via Airflow (and/or similar tools)
Model data for usability and performance in Snowflake and other systems, applying sound data modeling patterns (e.g., dimensional models, entity-centric designs) for analytics and operational use cases
Collaborate closely with product, finance, analytics and integrations teams to understand requirements, define interfaces, and ensure data is accurate, well-documented, and delivered in the right form and cadence for consumers
Contribute to Cedar’s data platform vision by implementing standards for governance, metadata and access, and by helping pilot tools like OpenMetadata and data quality frameworks within your projects
Participate in code reviews and design discussions, helping to raise the bar on code quality, reliability, and operational excellence across the team

Qualification

Data engineering experienceSQL proficiencyPython proficiencySnowflake experienceDbt experienceAirflow experienceData modelingCloud platforms familiarityBias to learnCollaboration skillsCommunication skills

Required

3+ years of hands-on data engineering (or closely related software engineering) experience, including building and supporting production data pipelines
Strong SQL and Python proficiency, with experience implementing data transformations, utilities and tooling (e.g., dbt models, Airflow DAGs, internal scripts)
Experience with modern data stack tools, including some combination of: Snowflake (or similar cloud data warehouse), dbt, Airflow/Dagster (or similar orchestrator)
Comfort designing and operating reliable pipelines, including applying testing strategies (unit/integration/dbt tests), basic monitoring and alerting, and contributing to incident/root-cause analysis
Experience with data modeling and schema design for analytics and reporting use cases (e.g., star/snowflake schemas, event or entity-centric designs)
Familiarity with cloud platforms, ideally AWS (e.g., S3, IAM, containerized workloads, or related infrastructure supporting data workloads)
Strong collaboration and communication skills, with the ability to break down ambiguous business problems into clear technical tasks and work effectively with partners across engineering, product and business teams
Bias to learn and take ownership in a complex, evolving environment—comfortable asking questions, making trade-offs explicit, and driving your work to completion

Preferred

Experience with metadata and data governance tools, such as OpenMetadata, DataHub or similar catalogs, and implementing data contracts or quality frameworks (e.g., Great Expectations, dbt tests)
Exposure to streaming and event-driven data pipelines (e.g., Kafka, CDC tools) and integrating those into warehouse-centric architectures
Prior experience in healthcare, fintech, or other highly regulated domains, particularly with standards like HL7 or FHIR, or with complex billing/financial data flows
Familiarity with analytics and visualization tools (e.g., Looker, Hex) and enabling self-serve analytics through well-designed semantic layers and models
Experience contributing to team-level standards, patterns, and roadmaps for data engineering or platform teams (even if not as primary owner)

Benefits

This role is equity eligible
This role offers a competitive benefits and wellness package
Unlimited PTO for vacation, sick and mental health days–we encourage everyone to take at least 20 days of vacation per year to ensure dedicated time to spend with loved ones, explore, rest and recharge
16 weeks paid parental leave with health benefits for all parents, plus flexible re-entry schedules for returning to work
Diversity initiatives that encourage Cedarians to bring their whole selves to work, including three employee resource groups: be@cedar (for BIPOC-identifying Cedarians and their allies), Pridecones (for LGBTQIA+ Cedarians and their allies) and Cedar Women+ (for female-identifying Cedarians)
Competitive pay, equity (for qualifying roles), and health benefits, including fertility & adoption assistance, that start on the first of the month following your start date (or on your start date if your start date coincides with the first of the month)
Cedar matches 100% of your 401(k) contributions, up to 3% of your annual compensation
Access to hands-on mentorship, employee and management coaching, and a team discretionary budget for learning and development resources to help you grow both professionally and personally

Company

Cedar is a patient payment and engagement platform for hospitals, health systems, and medical groups that elevates the patient experience.

H1B Sponsorship

Cedar has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (9)
2023 (11)
2022 (15)
2021 (15)
2020 (5)

Funding

Current Stage
Late Stage
Total Funding
$419.36M
Key Investors
Memorial Hermann FoundationTiger Global ManagementAndreessen Horowitz
2022-12-19Series D· $68.36M
2021-03-09Series D· $200M
2020-06-22Series C· $77M

Leadership Team

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Florian Otto
CEO and Co-Founder
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Scott Stockberger
Chief Financial Officer
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Company data provided by crunchbase