Own the integrity, validation, and reliability of data pipelines powering the product.
Design and execute frameworks for data quality assurance and validation across the organization.
Partner with engineering, quantitative modelers, and solution architects to ensure data is launch-ready and validated.
Jupiter is the global market leader in analytics for resilience planning and enterprise climate risk management. Led by pioneers in data, climate, and technology, the company fosters an inclusive, mission-driven culture and is committed to preparing economies for climate change.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Build and run the data platform, including Snowflake administration, access governance, and ingestion orchestration.
Set technical direction for the medallion architecture, dbt project standards, and reliability practices.
Mentor engineers and analysts, establishing the technical bar for data engineering at Eve.
Eve is redefining legal technology for plaintiff law firms, providing AI-powered solutions that handle cases from intake to resolution. Trusted by over 1000 law firms and backed by $160M from top investors, the company is growing rapidly with a world-class team.
Lead the design, development, and optimization of scalable ETL/ELT pipelines and the Snowflake data warehouse.
Establish engineering standards for code quality, testing, and deployment while mentoring team members.
Partner with stakeholders to translate data needs into a prioritized roadmap and deliver trusted data solutions.
Magna Legal Services is a trusted nationwide partner delivering comprehensive legal support to law firms, corporations, insurance carriers, and government agencies. The company fosters a culture where talented people can do meaningful work and grow their careers.
Own the credit risk data layer, from vendor data contracts to Snowflake warehouse tables and pipelines.
Monitor data freshness, volume, fill rate, schema, and drift; triage incidents to root cause and closure.
Build automated data quality tests and documentation for reproducible modeling datasets and governed metrics.
Kiwi Financial Inc. is a financial technology company that uses data and AI to make credit risk and lending decisions. The company is remote-first and works as a collaborative multidisciplinary team across Credit Risk, Data Science, Engineering, and Product.
Design, develop, and maintain scalable data pipelines and ETL/ELT processes using cloud-native technologies.
Support implementation of modern data platforms, data lakes, and warehouses, while ensuring data quality and performance.
Collaborate with cross-functional teams and clients to translate business needs into technical data solutions.
FormativGroup operates within the critical middle layer of business technology, connecting applications and systems to infrastructure and business processes. They are experts helping the middle market with cloud architecture, system integration, AI, and data strategy, and are growing with a collaborative culture.
Build and extend scalable data pipelines to move analytics off production PostgreSQL into a modern warehouse.
Develop shared dbt models, metrics, and semantic layers that keep definitions consistent across products.
Safeguard data quality with tests, freshness checks, alerts, and traceable lineage from source to drone imagery.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows and improve supply chain performance. We're a fast-moving robotics startup with a collaborative, remote-first culture and a focus on shipping transformative technology.
Architect and design scalable data solutions using Snowflake, ensuring alignment with client requirements and best practices.
Lead data engineering efforts including pipelines, ETL processes, and integration strategies using Python, SQL, and modern tools.
Implement data governance frameworks, optimize performance, and ensure security and compliance across platforms.
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. With 450+ consultants and 200+ enterprise transformations, we help organizations move to AI-ready Snowflake platforms. Our culture is execution-focused and results-driven, delivering 40-50% faster solutions.
Lead the strategy and architecture of Alto's data platform, ensuring high-quality data fuels analytics and machine learning.
Manage and grow a high-performing data engineering team, fostering technical excellence and cross-functional partnership.
Drive data governance, reliability, and innovation in a regulated healthcare environment.
Fuze Health is a digital healthcare company that connects patients with care providers and resources through technology. It combines industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy to create a unified force in healthcare.
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.
Design, build, and own ETL/ELT pipelines that bring data from multiple sources into Snowflake.
Model data in Snowflake to be clean, trustworthy, and easy to use for analytics and product.
Work directly with product and business leaders to turn vague questions into concrete data solutions.
Katapult is an AI-first engineering studio connecting senior LATAM talent with startups and companies in the US. We are a close-knit team where every member represents Katapult, co-creates product, and owns the outcome directly without managerial layers.
Design and build scalable data pipelines and dimensional data marts with cross-functional teams.
Drive adoption of AI tooling and self-service analytics across the company.
Contribute to data governance, security, and analytics engineering standards.
Mercury is a fintech company building an AI-native data platform that enables reliable analytics and AI-powered products. They value diversity and belonging, with a high-performing data team and an inclusive culture.
Design, build, and maintain end-to-end ETL/ELT pipelines across cloud, on-prem, and hybrid environments.
Integrate SQL Server, APIs, SaaS apps, and file sources while ensuring data quality, validation, and reconciliation.
Model data for analytics and Power BI, supporting enterprise reporting with secure, documented, business-ready datasets.
Climate First Bank is a Florida Benefit Corporation and FDIC-insured commercial bank offering sustainable banking and lending solutions. It is a Certified B Corporation with a mission-driven, people-first culture dedicated to using finance as a force for good.
Build and maintain ingestion pipelines from production source systems.
Write transformation models that turn raw data into reliable datasets.
Apply dimensional and medallion modelling patterns for the warehouse.
PerfectServe provides clinical communication and physician scheduling solutions for healthcare. Founded in 1997, the company has 400+ employees, 30,000+ customers, and $100M+ annual revenue, fostering a collaborative and innovative culture.
Architect and implement scalable, secure, and reliable data pipelines using modern platforms like Spark, Databricks, and Airflow.
Develop ETL/ELT processes to ingest data from various structured and unstructured sources, and perform exploratory data analysis.
Collaborate with cross-functional teams to design data models, write clean Python code, and deliver end-to-end features.
Netomi is a leading agentic AI platform for enterprise customer experience, working with global brands like Delta and MetLife. Backed by WndrCo, Y Combinator, and Index Ventures, the company is a well-funded startup with a collaborative culture.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
Build and scale data pipelines for ingestion into Snowflake, focusing on reliability and performance across a $750M+ e-commerce business.
Design and ship agentic systems that automate data engineering work, including pipeline generation, testing, and maintenance.
Collaborate with analysts, data scientists, and product teams to deliver end-to-end data solutions, from ingestion to advanced analytics and AI.
Babylist is the leading platform for expecting and new families, offering a universal registry, shop, health, and more. With over 10 million users and $750M revenue in 2025, Babylist is a remote-first, AI-forward company that values focus, intention, and recharging.
Lead and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.
Lead the end-to-end design and delivery of scalable data pipelines and data solutions using Snowflake, dbt, and Python on AWS.
Translate business and data requirements into technical designs, data flows, and integration patterns to ensure high-quality, maintainable data products.
Coordinate Data Operations support, mentor colleagues, and drive automated monitoring and incident response to improve reliability and efficiency.
Momentum Financial Services Group provides tailored financial solutions to underserved customers, with over 40 years of experience and 400+ retail locations across Canada and the U.S. They value inclusivity, collaboration, and integrity, fostering a culture where every team member matters.