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.
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.
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.
Design, build, and maintain dbt models and semantic models in Snowflake that give product teams reliable metrics.
Partner with product managers to turn roadmap goals into measurable success metrics and close data gaps.
Use AI tools like Claude and Snowflake Cortex to speed up development while validating AI-generated code.
Sidecar Health is redefining health insurance by making healthcare affordable and accessible for everyone. The team is mission-driven and rapidly growing, with backgrounds in tech, policy, and healthcare.
Build and maintain dbt models and core datasets for Accounting reporting.
Improve platform reliability through testing, alerting, and runbooks.
Optimize performance and cost in Snowflake and dbt to support scaling.
Affirm provides clear, predictable payment plans over time with no hidden fees or surprises. The company is a remote-first organization focused on transparency, care, and flexibility for employees.
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.
Manage and grow a remote team of analytics and data engineers, setting technical standards and owning the dbt repository.
Own the Snowflake warehouse and pipelines, modeling core business domains for cross-functional use.
Partner with stakeholders to evolve the data platform, harden data quality, and enable self-service.
Extend provides AI-driven post-purchase solutions for retailers, enhancing customer satisfaction and driving revenue growth. They work with over 1,000 merchant partners and are backed by prominent investors, with a collaborative and supportive culture.
Shape technical direction, data governance, and architecture for Cloudbeds' core Data Analytics platform.
Architect and optimize cloud data infrastructure on Snowflake, dbt, and Sigma.
Drive AI-readiness initiatives and mentor a team of analytical engineers.
Cloudbeds provides a unified hospitality platform for hotels across 150 countries, processing billions in bookings annually. The company has a remote-first culture with 650+ team members across 40+ countries, recognized for innovation and excellence.
Design and scale high-performance data pipelines into Snowflake for a large e-commerce platform.
Automate data engineering workflows using agentic systems and AI-native tooling.
Collaborate with analytics, data science, and product teams to deliver end-to-end data solutions.
This partner company operates a large-scale e-commerce and digital platform serving millions of users. It fosters a remote-first culture across the U.S. and Canada, emphasizing innovation, ownership, and practical use of AI.
Design the technical vision for Lime's Corporate Data Warehouse, building a Finance-grade semantic layer.
Own Finance data modeling across NetSuite and sub-ledgers, ensuring consistent definitions for revenue, COGS, and close KPIs.
Define and enforce dbt, SQL, CI/CD, documentation, and automated testing standards for audit-grade governance.
Lime is the world's largest shared micromobility company, making transportation shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, it has powered one billion rides in nearly 30 countries with an impact-driven culture.
Build and maintain dbt models on Snowflake that bring Salesforce, subscription, billing, hierarchy, and forecast data into a clean, documented form.
Keep history so published numbers can be reproduced, and reconcile data to Salesforce and Finance to find the cause when they disagree.
Add tests and monitoring for freshness, completeness, and accuracy, and fix what breaks.
Autodesk software powers green buildings, clean cars, smart factories, and hit movies, helping innovators turn ideas into reality. Its culture drives how Autodeskers work, fostering belonging and meaningful work.
Lead the Data Engineering team and own the architecture of Snowflake, PostgreSQL, and pipelines.
Drive our transition to a Medallion architecture and modern data stack.
Partner across business teams to build scalable, trusted data platforms with strong engineering practices.
Founded in 2017, NinjaHoldings provides digital banking and lending products through CreditNinja and NinjaCard, plus analytics services via Edge. We are a lean, growing, remote-first company headquartered in Chicago with a distributed global workforce.
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.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Own the design, modeling, and optimization of a large-scale Snowflake and dbt platform.
Engineer billion-row incremental models, solve complex SQL challenges, and enforce data governance.
Partner with software engineers and establish data modeling standards across production environments.
Truelogic is a nearshore staff augmentation company headquartered in New York, delivering technology solutions to U.S. companies for over two decades. Its team of 600+ professionals across Latin America focuses on digital transformation and values well-being, autonomy, and work-life balance.
Own the implementation design across the platform — ingestion, modeling, and the surfaces people consume
Shape the detailed architecture from the high-level direction, working with the architecture team
Set the engineering standards and mentor data engineers
PerfectServe is a leading provider of clinical communication and physician scheduling solutions in the health IT space. The company has over 400 employees and $100 million in annual revenue, with a collaborative culture focused on innovation and customer delight.
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.
Identify and pitch high-value opportunities where data, analytics, or automation can improve business outcomes.
Own projects end-to-end, from problem definition through implementation, adoption, and impact measurement.
Build scalable, production-quality data models in dbt and design reusable data foundations for BI, ML, and AI use cases.
Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. The company raised $450M in Series D funding in 2025 and fosters a remote-friendly culture.
Lead the design, development, and scaling of Healthie's data warehouse and analytics platform.
Enforce database-level isolation so customers only access their own data.
Partner with engineering, support, and customer success teams to build automated, compliant reporting systems.
Healthie is an AI-native, ONC-certified EHR platform that powers clinical care for over 40,000 providers and supports 21 million patients. The company has raised $42M, is profitable, and fosters a fast-paced, customer-obsessed culture with a focus on quality and collaboration.
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.