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.
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 production-grade analytical data models using dbt and Databricks, focusing on scalable Gold-layer architectures.
Develop semantic models and reusable data products that provide consistent metrics for consumption through Tableau and other BI tools.
Automate data workflows with Python and SQL, applying software engineering practices like Git and CI/CD.
NationsBenefits is a Healthcare Fintech provider of supplemental benefits, flex cards, and member engagement solutions for managed care organizations. The company is recognized as one of the fastest-growing in America, with a collaborative culture and offices in the US, South America, and India.
Co-develops batch and streaming pipelines on Databricks using Python and Spark.
Defines data contracts, quality rules, and SLOs for each data product.
Guides domain teams on data modeling and data product boundaries.
Muttdata builds innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. It is a fast-growing, remote-first startup passionate about technology, collaboration, and continuous learning.
Orchestrate production pipelines on Databricks Jobs with task dependencies and failure handling.
Manage model lifecycle in MLflow and Unity Catalog across dev, QA, and production.
Ensure operational continuity with cost monitoring, observability, and incident diagnosis.
Muttdata builds innovative data products and machine learning solutions for demand planning, forecasting, and e-commerce. As a fast-growing, remote-first startup, they value ownership, collaboration, and continuous learning.
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 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.
Design and maintain scalable people-data models and architecture within the enterprise data warehouse.
Establish automated data-quality monitoring, validation rules, and end-to-end lineage controls.
Own the AI-readiness roadmap and drive technical infrastructure investments to enable approved AI use cases.
They are a multinational technology consulting firm that helps businesses leverage technology for success. Founded in 2016, the company has Swiss roots and a development team in Latin America, blending Latin American talent with Swiss organizational culture.
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.
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.
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.
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 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.
Design and implement execution patterns, tool-calling infrastructure, and runtime guardrails for agentic workflows.
Build core services and reusable runtimes to connect LLMs and agents to governed data on Databricks.
Integrate agent workflows into Delta Lake, Unity Catalog, and multi-cloud pipelines across GCP and Azure.
Kinaxis is a global leader in modern supply chain orchestration, providing an AI-infused platform for complex global supply chains. They have over 2000 employees worldwide and are recognized with multiple Top Employer awards for their strong culture and commitment to innovation.
Own data infrastructure hands-on: pipelines, ETL/ELT, freshness, reliability, and cost.
Build trusted data layer with models, tests, observability, and metrics for self-serve use.
Lead as player-coach: grow a two-person team and ship an AI initiative quarterly.
Fundraise Up is a global fundraising platform that makes donating to nonprofits fast, seamless, and accessible. It powers tens of millions in monthly donations, serves leading nonprofits like UNICEF, and holds a 4.9/5 rating.
Lead and mentor a growing team of data engineers, own hiring and onboarding, and set engineering standards.
Design, build, and maintain scalable data pipelines using GCP, Python, BigQuery, dbt, Airflow, and more.
Drive AI adoption across engineering workflows, ensuring data is AI-ready and quality standards are met.
Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.
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.
Design, build, and maintain data infrastructure that ensures data quality and accessibility.
Lead development of data products and an AI context layer to scale analytics.
Partner with finance and engineering to track data inconsistencies and execute sizing analyses.
Atlassian is a global software company that builds team collaboration and productivity tools. With a culture that values diversity and flexibility, we empower employees to work in ways that support their personal goals.
Lead high-impact, company-wide data initiatives and mentor junior engineers to foster technical excellence.
Design and architect scalable data solutions, including ELT/ETL pipelines and optimized data models.
Ensure data quality and platform stability through rigorous frameworks and on-call support.
Atlassian is a software company that creates collaboration tools like Jira and Confluence to help teams work together. With a global workforce and a culture centered on teamwork and flexibility, Atlassian empowers employees to do their best work.
Design, build, and maintain scalable dbt data models across commercial, marketing, health outcomes, and clinical operations domains.
Act as a senior technical voice setting standards for data modelling, testing, documentation, and code quality.
Evaluate and champion AI-powered analytics tooling and mentor data scientists and analysts.
Numan is transforming health with a platform integrating diagnostics, medication, supplements, digital programmes, and doctor consultations. Founded in 2018, we're a 300+ team distributed globally, empowering people to take control of their health.