Own the vision, strategy, and roadmap for the Enterprise Data Platform, including capabilities, reliability, governance, and AI readiness.
Drive the consolidation of legacy data into governed, business-ready data products on the Enterprise Data Hub.
Partner with engineering and architecture to deliver platform capabilities that power AI-enabled and natural-language analytics across the organization.
EzCater is the #1 food tech platform for workplaces in the US, connecting organizations with over 125,000 restaurants nationwide. The company values work/life harmony and offers a collaborative, high-performing environment with passionate colleagues.
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 and govern experimental Snowflake schemas, translating vague ideas into clear data product strategies.
Lead a team in designing and developing scalable data solutions, establishing best practices for coding and automation.
Manage a portfolio of projects, ensuring high data quality, governance, and alignment with business objectives.
Liberty Mutual is an insurance company leveraging data to drive innovation and manage risk. They are a large organization with a focus on inclusion and professional development, offering comprehensive benefits and workplace flexibility.
Champion iterative delivery of data and analytics deliverables using agile, outcome-oriented methods.
Lead discovery with stakeholders to surface, clarify, and prioritize data needs.
Drive execution by collaborating with engineering teams to launch and refine analytics products.
Heartbeat Health provides remote cardiology services for patients and organizations across the healthcare ecosystem. They are a small, mission-driven, remote-first team focused on agility and innovation.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Lead the product vision, strategy, and roadmap for reporting and insights, including dashboards, report builders, and AI-assisted insights.
Collaborate with cross-functional teams (engineering, data, design, security, etc.) to build scalable and reliable reporting solutions.
Drive customer-centric product decisions by analyzing feedback, metrics, and data quality to ensure trusted and intuitive experiences.
The company operates in the HR technology space, providing payroll, finance, and compliance solutions. It is a remote-first organization with a globally distributed team, fostering a flexible and asynchronous work culture.
Own the end-to-end product roadmap for Ditto's cloud database, defining how data is stored, queried, and managed at scale.
Define and maintain customer-facing database SLAs covering durability, throughput, latency, and consistency.
Engage directly with enterprise customers to understand workload patterns and translate them into product requirements.
Ditto is redefining how data moves at the edge with a peer-to-peer sync engine that keeps devices connected without internet. A globally distributed, fast-growing startup with over $145 million in funding, we are committed to building a diverse and inclusive team.
Build and own data quality and observability across a data platform, profiling data and defining quality rules to catch issues early.
Establish quality metrics, monitoring, and alerting, and track quality SLAs while investigating and resolving data issues at their source.
Partner with data engineering and business stakeholders on quality standards and reporting, leveraging strong SQL and Snowflake expertise.
Allocate is transforming private market investing by enabling RIAs and family offices to discover, model, and manage private market exposure through a data-rich platform. They are a growth-stage company that values meritocracy, civil discourse, and continuous improvement, embracing technological change especially around AI and automation.
Own the product roadmap for Arbital’s data pipeline platform, including ingestion, transformation, calculation, validation, audit trail, and AI consumption layers.
Write detailed PRDs, user stories, and technical specifications for platform features, configurations, and automation tooling.
Develop deep fluency in Arbital’s data models, pipeline architecture, and healthcare data standards, and work hands-on with data using SQL.
Arbital Health is a rapidly growing healthcare technology and actuarial leader that centralizes, measures, and adjudicates value-based care contracts at scale. They invest in hiring high potential and humble individuals who thrive in fast-paced environments and were co-founded by successful entrepreneurs, backed by leading investors.
Assist in designing, developing, and maintaining analytical reporting ETL pipelines and front-end dashboards using SQL, Python, Snowflake, and pipeline management tools.
Contribute to QA and UAT protocols, proactively identify and resolve data quality issues, and support training for data users.
Collaborate on advanced analytics prototypes to drive strategic initiatives and maintain documentation for scalability.
NBCUniversal is one of the world's leading media and entertainment companies, creating and distributing world-class content across film, television, streaming, and theme parks. As a subsidiary of Comcast Corporation, it employs thousands globally and champions an inclusive culture with a rich tradition of community giving.
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.
Design, build, and maintain data pipelines that ingest and transform healthcare data through staging, transformation, and mart layers.
Write and maintain dbt models following established conventions, ensuring transformations are testable and performant.
Implement data quality tests, monitor pipeline health, and resolve data anomalies to ensure accuracy of downstream reporting.
Privia Health is a technology-driven physician enablement company that partners with medical groups and health systems to optimize practices and improve patient care. The company is led by top industry talent and uses cloud-based technology to reduce healthcare costs and improve outcomes.
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.
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.
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.
Analyze and process large datasets to support business intelligence and product development.
Design and maintain data pipelines and infrastructure for efficient data flow.
Collaborate with cross-functional teams to implement data-driven solutions.
Tucows is a technology company that provides domain registration, internet services, and mobile connectivity solutions. It operates through its brands Ting, Wavelo, and Tucows Domains, and fosters a culture of inclusion with a focus on community and innovation.
Design and implement scalable data platforms using Snowflake, Databricks, and AWS.
Build AI-ready data architectures supporting analytics, ML, and LLM applications.
Establish data governance, security, and best practices while mentoring engineering teams.
The company is a partner organization that specializes in data and AI solutions. It operates with a remote-first culture and emphasizes collaboration and continuous learning.
Develop and implement Snowflake-based governance solutions for data quality, security, and compliance.
Build automated privacy processes and support data cleanup initiatives to maintain integrity.
Collaborate with cross-functional teams to design scalable data architecture and pipeline solutions.
Blend is a premier AI services provider, co-creating meaningful impact through data science, AI, and technology. We harness world-class people and data-driven strategy to unlock value for clients, with a focus on innovation and fulfilling work.
Design, build, and maintain a scalable data warehouse on Snowflake with clean models and documentation.
Implement data transformation with dbt to ensure reliable, well-tested pipelines.
Mentor analysts and peers, fostering a culture of learning and continuous improvement.
Age of Learning is a leading developer of Pre-K through 2nd grade learning resources. Having served over 55 million children worldwide, the company is a global leader in advancing equity, access, and opportunity for all children.
Own end-to-end product areas across Ingestion, Reverse ETL, Observability, and Catalog, translating complex technical challenges into clear priorities and measurable outcomes.
Go deep on data infrastructure, including database replication (Postgres WAL, MySQL binlog), CDC, sync performance, and schema evolution, to drive better product decisions.
Be the voice of US customers, uncovering pain points and validating product direction through regular conversations with real-world data teams.
Matia is building a unified DataOps platform that streamlines data management end-to-end, enabling faster, smarter decisions with less tool sprawl. They are a venture-backed startup with a small team, trusted by companies like Ramp and Outsystems, and are shaping the future of data confidence.