Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Drive the technical direction of the ELT and data platform over a multi-quarter horizon, balancing strategic investments and technical debt.
Author high-quality design documents and provide architectural guidance across the codebase.
Mentor senior engineers and set standards for code quality, testing, and reliability.
This company operates a mission-driven healthcare data platform that powers critical analytics and product capabilities for complex healthcare operations. It is a remote-first organization with a collaborative culture focused on ownership, innovation, and mutual support.
Lead and grow a high-impact BI data engineering team, setting technical vision and roadmap for data infrastructure.
Design and build scalable ETL/ELT pipelines and data warehouse models, contributing hands-on code in Python and SQL.
Partner cross-functionally with Product, Engineering, Analytics, and Senior Leadership to ensure data reliability, security, and alignment with business priorities.
Carrot is a global fertility and family care platform that provides clinical guidance and support for members from pre-pregnancy through menopause. It serves over a thousand multinational employers and health plans, with a culture focused on mission-driven work and innovation.
Drive the technical direction of the ELT platform on a multi-quarter horizon, balancing strategic investments against pragmatic delivery.
Write design documents that anchor major initiatives and set the standard for how the team writes and reviews design work.
Mentor and coach senior engineers, set the growth path for engineers at every level, and remove constraints to enable the team to do bigger and better work.
IntusCare builds an end-to-end ecosystem for PACE programs to deliver exceptional care, strengthen financial performance, and stay compliant. We are a remote-first, distributed team committed to building a diverse and inclusive culture, passionate about the impact our platform has on dual-eligible seniors.
Manage and mentor a multi-disciplinary team of data engineers and data scientists, fostering collaboration and technical excellence.
Oversee the design and maintenance of scalable data pipelines and data architecture to ensure timely data availability.
Partner with analytics and product teams to define data strategy and enforce data quality standards using Snowflake and Looker.
InStride Health delivers specialty anxiety and OCD care for children and families, combining evidence-based clinical care with innovative technology. The company is a fully remote, mission-driven team that values collaboration, humility, and community.
Support new and existing customers in their data engineering needs, guiding them to make optimal technical decisions.
Build and operationalize complex data solutions, including data governance, security, and quality.
Collaborate across teams to deliver data products and educate end users on analytic environments.
SunnyData is a high-growth consulting company specializing in data engineering and AI, dedicated to the Databricks platform. They foster a collaborative and innovative culture with a focus on customer impact and career growth.
Design, develop, and maintain scalable, production-ready data pipelines and data products using Spark (Python/SQL) in a Databricks environment.
Lead the integration and transformation of complex data from diverse DoD and federal health systems into reliable, reusable data products.
Provide technical guidance and mentorship to other engineers, helping teams navigate complex technical challenges.
540 is a forward-thinking company that delivers innovative technology solutions for government missions. The team has a culture of breaking down barriers and solving mission-critical problems.
Design and ship data infrastructure at the core of modern data platforms, scalable pipelines, and reporting layers.
Work directly with the CEO and a small senior team, owning results from day one.
Build client-facing systems, translating business problems into architecture and delivering results.
Paradox Machines is a data and AI company that helps businesses make their data actually usable. They are a venture-backed company with a small, senior team that values ownership and impact.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.
Build and maintain data ingestion pipelines from enterprise systems and APIs.
Develop SQL and Python solutions for data transformation and curation.
Partner with analytics and engineering teams to deliver governed data products.
AHEAD builds and operates data capabilities to help teams access trusted information. The company fosters a product-oriented engineering culture with a focus on collaboration and AI-assisted development.
Lead end-to-end data engineering projects from discovery to production deployment, including complex data modeling and high-volume matching.
Design platform-agnostic data pipelines and schemas, ensuring scalability and performance across Snowflake, Databricks, and other platforms.
Define data integration strategies and communicate tradeoffs to clients, guiding architecture and tool selection.
Blend is a premier AI services provider that leverages data science, AI, and technology to drive client impact. The company fosters a culture of innovation and collaboration, working with global teams and clients.
Design and optimize scalable data platforms, pipelines, and governance frameworks.
Lead data strategy and collaborate with leadership, engineering, and AI teams.
Mentor engineers and drive platform modernization with an AI-forward mindset.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009 with delivery centers in Canada, US, Eastern Europe, and Latin America, the company is a nimble alternative to traditional system integrators with teams averaging 15+ years of experience.
Develop and own a long-term strategic vision for Webflow's enterprise data architecture, aligning data models, integration patterns, and governance with business priorities.
Lead, mentor, and grow a team of Analytics Engineers to build a scalable, reliable data foundation.
Design and operationalize a unified semantic layer that powers self-serve analytics and data-driven decision-making.
Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. As a privately held company, Webflow fosters a culture of grit, collaboration, and continuous improvement.
Lead the design and implementation of scalable data models and pipelines that turn complex data into clear, trustworthy insights.
Drive adoption of best practices for dbt development, testing, and CI/CD while mentoring peers.
Partner with analysts, engineers, and stakeholders to translate business requirements into well-structured data models.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy, and our culture is built on trust, collaboration, and continued improvement.
Build and maintain ELT pipelines using Snowflake and dbt to power the company's data platform.
Own the reliability and performance of the data stack, including testing, monitoring, and alerting.
Collaborate with internal teams and external clients to translate business needs into durable data solutions.
Jump is transforming the live sports experience with an end-to-end fan engagement platform for sports teams and venues. They are a remote-first team backed by top investors, driven by values of trust, teamwork, and innovation.
Build and maintain trusted data products using Snowflake, dbt, and Fivetran.
Design scalable data pipelines and improve data quality, observability, and governance.
Partner with stakeholders to turn ambiguous data needs into reliable platform capabilities.
Granum is the leading software company serving landscapers and arborists across North America, providing industry-specific solutions for estimating, scheduling, and invoicing. We have a collaborative, innovative culture and have been recognized multiple times as a Best Place to Work, with a team of around 100-200 employees.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Design production data pipelines using Databricks Lakeflow, Autoloader, and Structured Streaming with CI/CD.
Architect Lakehouse solutions including medallion architecture and Unity Catalog for analytics and AI.
Collaborate with product and backend engineers to design data models and APIs that serve the product.
Livefront helps companies design and build world-class digital products. They have worked with major brands and startups, fostering a culture built on respect, mutual trust, and egoless collaboration.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Define large-scale data architecture decisions and evaluate tradeoffs for quality, scalability, and sustainability.
Architect observability and incident-response frameworks to monitor data pipeline health and SLAs.
Partner across teams to define standards for data quality, governance, and establish SLAs.
Applied Systems builds technology solutions for the insurance industry. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.