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.
Design and operate production-grade data pipelines for healthcare, identity, and campaign datasets using Python, SQL, Airflow, and Snowflake.
Implement maintainable data models and governed views for provider, claims, and audience data, ensuring privacy-by-design for PHI/PII.
Partner with product, analytics, and data science teams to translate business requirements into resilient technical solutions that power audience discovery and measurement.
Zeta Global is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence and trillions of consumer signals to make marketing simpler. Founded in 2007 with offices worldwide, the company fosters a culture of trust and belonging, offering equity and wellness benefits to its employees.
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.
Design, implement, and maintain end-to-end data pipelines (ELT/ETL) with focus on reliability, reprocessing, and cost-efficiency.
Orchestrate data loads using Airflow (AWS) and serverless functions, model data in Snowflake (bronze/silver/gold) and develop transformations with dbt.
Build integrations and services in Python with FastAPI, write high-performance SQL, and ensure data quality, observability, security, and documentation.
CI&T helps large companies transform AI potential into real business impact with AI deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across over 25 countries, they collaborate to build solutions with real impact.
Design and build the data systems that power analytics, AI, and business intelligence across Owner
Replace one-off custom scripts with reproducible, production-grade pipelines
Own and evolve our core platforms - Snowflake, dbt, Dagster, and our ingestion and reverse ETL layers
Owner is an AI-native platform that replaces multiple tools for local business owners, starting with restaurants. The company has a low-hundreds team with top talent from successful SMB software companies and a remote-first global culture.
Design, build, and maintain automated ETL pipelines and data frameworks using Snowflake and Python.
Collaborate with business users and teams to define requirements and deliver data solutions within agile methodology.
Validate data quality, troubleshoot issues, and optimize data delivery for analysts and third-party systems.
Empeople Credit Union is a financial institution that provides credit union services to its members. They offer a remote work environment with a focus on data-driven insights and a collaborative culture.
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.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
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.
Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Own core data pipelines end to end, building and operating ELT pipelines that move data from product and third-party systems into Snowflake.
Build the data foundation for AIDE's AI initiatives, making governed data available for agentic AI tooling.
Own data governance and pipeline health, including access controls, data quality, and warehouse cost management.
Benchling is an AI platform for biotech R&D that enables scientists to design experiments, capture structured data, and run AI agents in their workflows. Over 200,000 scientists worldwide trust Benchling, and the company emphasizes AI fluency and innovation in its culture.
Design, build, and own custom data pipelines from source systems into our warehouse.
Build and operate Airflow DAGs for scheduled and event-triggered workflows.
Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust.
Grüns provides comprehensive nutrition through convenient gummies made from whole-food ingredients. They are a high-growth remote company with a culture focused on ownership, impact, and high standards.
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.
Architect scalable data platforms for analytics, ML/AI products, and customer-facing data products.
Build reliable batch and near-real-time pipelines that are scalable and cost-efficient.
Productionize ML and AI products and support LLM/VLM workflows.
Vidmob is a creative data company that provides scoring software and analytics to help marketers improve creative effectiveness. It partners with the world's largest marketers and agencies and operates a robust human-reinforcement learning model for creativity.
Design and build robust data pipelines and warehouse models using Snowflake and modern data engineering tools.
Migrate legacy SQL Server systems and ETL processes to a scalable cloud environment.
Ensure data security, reliability, and compliance for sensitive healthcare data.
This company is a partner organization focused on modernizing healthcare data infrastructure and analytics. It provides a collaborative, fully remote environment with significant individual ownership and a focus on scaling modern data technologies.
Design and optimize ETL/ELT pipelines using Matillion and Python.
Build and maintain cloud data warehouses in Snowflake with strong SQL and performance tuning.
Collaborate with stakeholders and engineering teams to deliver reliable data solutions.
The company helps organizations build scalable, reliable cloud data platforms using modern technologies like Snowflake and Matillion. It operates in a collaborative, agile environment with a focus on innovation and high-quality delivery.
Design, build, and own custom data pipelines that integrate source systems with the data warehouse.
Develop and operate Airflow DAGs for scheduled and event-driven workflows, ensuring reliable data processing.
Build dbt models and governed semantic layers that provide trusted data for analysts, applications, and AI tools.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It is a fast-growing company that uses technology to streamline recruitment and offers a high-trust remote environment.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.
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.