Design, develop, and maintain resilient, scalable, end-to-end data pipelines with Snowflake and Python.
Partner with product owners and analysts to gather requirements and deliver data solutions aligned with business goals.
Act as a subject matter expert, mentor junior engineers, and champion DevOps practices including CI/CD and automated testing.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups and health systems to optimize practices and improve patient care through its cloud-based platform. The company is led by top industry talent and physician leadership, focusing on reducing healthcare costs and improving outcomes.
Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization.
Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation.
Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance.
Pivotal Health builds a technology platform to help healthcare providers get paid fairly in complex reimbursement landscapes. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Own the dbt project end to end, including documentation, testing, dev/prod separation, and clean schema design.
Own the semantic layer with metric definitions, data quality standards, and governance processes for self-service analytics.
Own data observability and orchestration, monitoring pipelines and building infrastructure on AWS.
Nest Health is the first value-based care provider built for families, making comprehensive medical, behavioral, and social care accessible to America’s highest risk families. Founded in 2022, Nest is a startup with a fast-paced, ever-changing environment where employees wear multiple hats and are highly autonomous.
Design and maintain cloud data warehouse solutions using AWS services and dbt for scalable data transformation.
Build and optimize batch and near real-time ELT/ETL pipelines supporting enterprise data integration.
Partner with business and technical teams to deliver trusted datasets for reporting, analytics, and AI initiatives.
Modivcare is leading the transformation to better connect people with care, wherever they are, by facilitating non-emergency medical transportation and personal and home care. We serve the most underserved, with a focus on enabling greater access to care, reducing costs, and improving outcomes, and we value our team members with comprehensive benefits.
Drive the change in healthcare by building products to integrate fragmented healthcare services as an end-to-end experience.
Lead technical design and implementation of reliable, scalable, and efficient data infrastructure and software solutions.
Collaborate across teams including Product, Sales, and Clinical Operations to translate business requirements into a technical roadmap.
Accompany Health is a primary, behavioral, and social care provider for patients with complex needs, offering at-home, virtual care, and 24/7 support. The company is an equal opportunity employer with a distributed team across the country, focused on evidence-based practice and long-term patient relationships.
Be the Snowflake and dbt expert, guiding best practices and making key design decisions for a new multi-dimensional data model and data warehouse.
Build and maintain pipelines to ingest data from Salesforce and other sources, and transform data using dbt with Medallion architecture.
Work closely with the Business Intelligence team to monitor and implement enhancement requests for the data warehouse to meet stakeholder reporting demands.
Lyra Health is the leading provider of mental health solutions for employers, supporting over 20 million people globally. The company has delivered 13 million sessions of mental health care and is transforming access through its AI-powered platform Lyra Empower.
Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Own and improve data ingestion and orchestration across the modern data stack.
Build a scalable, reliable, and cost-efficient Snowflake platform.
Partner on dbt architecture, testing, CI/CD, and data modeling best practices.
Nourish is an AI-native digital health system that matches patients with dietitians, physicians, medications, and AI agents to deliver insurance-covered care across all 50 states. Founded four years ago, they have completed millions of appointments, tripled year-over-year, and raised $215M in total funding.
Design and build scalable, well-tested DBT models and develop maintainable ELT pipelines with observability and reliability.
Partner with product managers, engineers, and stakeholders to understand data needs and provide actionable paths forward.
Mentor other engineers, document logic and methodology, and promote transparency across the organization.
Imagine Pediatrics is a tech-enabled, pediatrician-led medical group reimagining care for children with special health care needs, delivering 24/7 virtual and in-home medical, behavioral, and social care. The company is a fast-paced startup environment focused on compassion and innovation, with an unwavering commitment to children with medical complexity.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Work cross-functionally with Product and experts to conceptualize, prototype, and build data solutions
Build and maintain data engineering systems and high-quality data models from multi-source healthcare datasets
Develop and test data pipelines and draft internal and external technical documentation
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare. Backed by a16z, Oak HC/FT, and others, we are a remote-first, US-based team that values transparency, empathy, inclusivity, creativity, and ownership.
Build the data platform by designing and maintaining scalable ELT/ETL pipelines and owning the cloud data warehouse.
Ensure data quality and governance through clean transformation layers, testing, monitoring, and security practices.
Partner across engineering and product teams to support product analytics, experimentation, and business reporting.
An international product company building SaaS products, AI-powered solutions, and modern web and mobile applications for global markets. They are scaling and investing in a modern data platform, with a collaborative, product-focused team.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Design and maintain production-grade ETL/ELT pipelines in a multi-hundred terabyte Snowflake environment.
Translate client loyalty program requirements into dimensional models and platform tables.
Build reliable, event-driven data architecture to support AI-powered loyalty products.
Kobie is a leader in loyalty solutions, helping brands build lasting emotional connections with consumers. Named a Top Workplace in the USA, the company fosters a collaborative, growth-focused culture with a diverse suite of benefits and flexible work arrangements.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Partner with the Director of Data to translate platform vision into engineering execution.
Lead the design and implementation of Kimball-style dimensional models and star schema architectures.
Design, build, and maintain production-grade data pipelines with a focus on reliability and scalability.
BlueLabs is an analytics services and technology company that helps organizations use data for social and commercial impact. With over 400 clients and a diverse team of analysts, scientists, engineers, and strategists, they foster a supportive, collaborative, and mission-driven culture.