Lead the Data Engineering team to design, build, and operate scalable data pipelines powering analytics and AI.
Partner with cross-functional leaders to define technical strategy, roadmap, and execution for the enterprise data platform.
Drive engineering excellence through improved data quality, reliability, observability, and governance.
Omada Health is reverse engineering healthcare delivery in America, focusing on chronic conditions like obesity, diabetes, and hypertension. With over two million members served and a strong remote-first culture, the company has been certified as a Great Place to Work.
Design, build, and maintain scalable data pipelines and platform components for analytics, BI, data science, and AI.
Lead evolution of a Databricks-based Lakehouse platform, defining architecture, governance models, and engineering standards.
Provide senior technical leadership through architecture design, code quality standards, mentoring, and engineering decision-making.
Jobgether uses AI-powered matching to connect candidates with hiring companies. This role is for a partner company building a modern data and AI platform, fostering a collaborative and engineering-driven culture with emphasis on innovation and learning.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
Own the gold data layer by transforming silver tables into curated, semantically rich datasets for AI model development.
Reverse-engineer data semantics by collaborating with product engineers, clinical experts, and analyzing SQL queries and stored procedures.
Build pipelines for reuse, automate quality filtering and synthesis, and maintain reproducible dataset snapshots.
PointClickCare is a leading health tech company that helps providers deliver exceptional care through AI and data. Privately held and founder-led, they serve over 30,000 organizations, were recognized as a top private cloud company by Forbes, and have one of Canada's Most Admired Corporate Cultures.
Own end-to-end delivery of core data platform components including schema mapping, normalization, and validation pipelines.
Drive technical architecture for an AI-native data warehouse serving institutional financial clients.
Build AI evaluation infrastructure to ensure trustworthy outputs in high-stakes financial data contexts.
Juniper Square is a private market operations platform that unifies technology, data, and fund administration services for over 2,300 GPs. With 1,000+ employees and $350M+ in funding, the company has a founder-led culture focused on ambitious, meaningful work and diverse perspectives.
Drive migration of legacy Hadoop/Spark/Impala data pipelines to a modern Databricks-centric stack.
Design and build scalable Airflow DAGs and Databricks Jobs for large-scale data pipelines.
Implement robust validation strategies to ensure data parity and quality between legacy and modern systems.
LivePerson is a leader in trusted enterprise conversational AI and digital transformation. Named the #1 Most Innovative AI Company by Fast Company, we power nearly a billion conversational interactions every month for top global brands.
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.
Design and build scalable data pipelines using Python and SQL to ingest, transform, and curate data from internal and external sources.
Implement schema validation, data quality checks, and job monitoring to ensure trustworthy data outputs.
Collaborate with analytics engineers, architects, and product partners to define technical requirements and deliver data products.
Cohere Health provides a clinical intelligence platform that uses AI to connect health plans and providers, improving care quality and reducing costs. We are a growing company recognized as a top LinkedIn startup and backed by leading investors, fostering a supportive, growth-oriented culture.
Drive platform strategy and architecture for the Enterprise Data Platform using Snowflake, dbt, and Matillion.
Embed AI into data analytics by designing pipelines and RAG systems to transition teams into AI-ready units.
Enable self-service and mesh architecture while implementing robust governance and observability frameworks.
Zscaler accelerates digital transformation by providing cloud-native security solutions that protect customers from cyberattacks and data loss. The company fosters a culture of execution centered on customer obsession, collaboration, and accountability, with a focus on high-impact work.
Design and deploy AI/ML and Generative AI models to drive operational efficiencies across VBC and RCM datasets.
Implement advanced architectures including LLMs, RAG, and agentic frameworks, and build end-to-end pipelines using Python, PySpark, or T-SQL.
Apply MLOps best practices and work with cloud platforms like GCP to ensure scalable and responsible AI deployments.
Privia Health is a technology-driven national physician enablement company that collaborates with medical groups, health plans, and health systems to optimize physician practices and improve patient experiences. The company is led by top industry talent and focuses on reducing healthcare costs through cloud-based technology and scalable operations.
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.
Build and maintain data pipelines with DBT, Airflow, DynamoDB, and AWS Lambda, and develop APIs that serve data to the product.
Own the full stack of client-facing analytics and admin tools, ensuring robust testing and monitoring.
Contribute front-end code to integrate data into product experiences and build telemetry for analytics and machine learning models.
Vivian Health is the largest healthcare jobs marketplace, using an AI-driven platform to connect healthcare professionals with job opportunities and enhance hiring efficiency for employers. Backed by over $75 million in capital from investors like Thoma Bravo, the company has won awards for being a top remote workplace and has a culture focused on innovation and collaboration.
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.
Define data architecture and platform strategy for enterprise data platforms.
Build and optimize scalable data pipelines supporting batch and real-time processing.
Mentor junior engineers and partner with leadership on data strategy.
Robots & Pencils is an applied AI engineering firm building AI co-workers for enterprise operations. Founded in 2009, with delivery centers across North America and Europe, our teams average 15+ years of experience and we value craft, speed, and ownership.
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.
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.
Architect and maintain cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Design and automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI.
Manage end-to-end data lifecycles including ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable for the many, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, and pride themselves on a diverse, inclusive culture that values doing the right thing for each other, the community, and the planet.
Design, build, and optimize scalable data platforms supporting analytics, AI/ML, and enterprise reporting.
Develop and maintain complex data pipelines using AWS Glue, Step Functions, and Databricks Workflows.
Collaborate with product, engineering, analytics, and ML teams to transform complex data challenges into reliable solutions.
Jobgether uses AI to match candidates with job openings for faster, fairer reviews. It is a technology platform focused on streamlining the hiring process for both candidates and employers.