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.
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, 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.
Design the long-term technical vision for Lime’s Corporate Data Warehouse to build a robust, scalable Finance-grade semantic layer.
Own the Finance data modeling strategy across core systems, including NetSuite and sub-ledgers.
Enforce strict data governance and controls: data ownership, glossary, lineage, change management, access patterns, and automated data quality validation.
Lime is the largest global shared micromobility business, building a future where transportation is shared, affordable, and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered over one billion rides in close to 30 countries, fostering a culture of innovation and sustainability.
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.
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.
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.
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 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.
Own and evolve the analytics platform, including data models, pipelines, and governance to support internal and customer-facing analytics.
Collaborate with cross-functional stakeholders to build dimensional models, semantic layer metrics, and AI-assisted insight tools.
Mentor other engineers and drive data quality and governance processes across the team.
Afresh is an AI platform for grocery that uses proprietary AI to reduce food waste and optimize grocery operations. The company has scaled to 6 enterprise-grade solutions, works with major grocers like Albertsons and Meijer, and experienced 70% revenue growth in 2025, fostering a culture of proactivity, kindness, candor, and humility.
Build and maintain data pipelines and infrastructure for digital analytics environments, ensuring robust ingestion, transformation, and availability of data.
Work closely with Martech experts to integrate data from sources like Google Analytics and Customer Data Platforms.
Manage platform data and technology, ensuring integrity, consistency, and alignment with business needs.
CI&T helps large enterprises harness AI for real business impact through AI deployment, AI-native execution, and tech-integrated business solutions. With 8,000 employees across over 25 countries, the company fosters a collaborative and innovation-driven culture focused on digital transformation.
Design, build, and maintain scalable lakehouse architectures and enterprise data platforms.
Develop and manage secure data ingestion frameworks, including CDC, batch, API, and file-based integrations.
Implement data quality, observability, and monitoring processes to ensure reliable, high-performing pipelines.
Marlabs is a global AI and Digital Solutions Consulting firm that delivers intelligent solutions across AI, data, analytics, and product engineering. Since 2000, they have partnered with some of the largest healthcare, life sciences, financial services, and government organizations worldwide.
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.
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.
Develop complex data pipelines using Python and SQL to transform raw data into reliable components.
Design and maintain data infrastructure including Snowflake and Airflow for accurate, trusted data.
Collaborate with stakeholders across Executive, Product, and Engineering to translate business needs into technical solutions.
Pie Insurance is a technology-driven company that simplifies commercial insurance for small businesses. They are a diverse team of builders, dreamers, and entrepreneurs driven by core values.
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.