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, 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.
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 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 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.
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.
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.
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.
Lead the Data Platform & Infrastructure team to build scalable data systems that power insights across the ecosystem.
Oversee technical direction, organizational strategy, and cross-functional partnerships with data, product, and finance.
Drive execution of data infrastructure strategy including ingestion, processing, storage, and orchestration.
We are an AI-powered business operating system that provides infrastructure for agencies, entrepreneurs, and SMBs to build, automate, and scale. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership.
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 the core data foundation including ingestion, modeling, and data marts to support agency, client, and AI consumers.
Handle fragmented marketing data across ad platforms and client-specific stacks with high reliability and reconciliation.
Collaborate cross-functionally to translate requirements into data solutions and use AI-agentic workflows to accelerate development.
Power Digital is an AI-Native Growth Firm built at the intersection of world-class talent and proprietary technology. We are a people-first firm with a culture built on curiosity, ambition, accountability, and commitment to delivering meaningful results.
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.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.
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.
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.
Architect scalable data solutions using Databricks, Azure Fabric, PySpark, and SQL.
Build and automate end-to-end data pipelines with Azure Data Factory and CI/CD practices.
Mentor junior engineers and partner with stakeholders to align data engineering with business objectives.
Alimentiv is a healthcare technology and clinical research organization supporting gastrointestinal clinical trials and data-driven innovation. It operates with a collaborative global team and a focus on quality, compliance, and technical excellence.
Combine insurance domain expertise with full-stack data and analytics engineering.
Design rigorous data models, pipelines, and semantic layers for AI reliability.
Use SQL, Python, dbt, and Snowflake to build and maintain data infrastructure.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company values teaching, facilitating, and influencing to help people embrace new ways of working.
Design and build scalable data pipelines supporting cloud cost visibility and FinOps initiatives.
Develop robust data models and ingestion frameworks for large-scale telemetry and usage data.
Partner with Engineering and Finance teams to optimize cloud spending and drive data-driven decisions.
Our partner is a technology company specializing in cloud cost optimization and FinOps. They operate with a distributed team across LATAM and the US, fostering a collaborative and technically focused culture.