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.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.
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, build, and maintain scalable data pipelines and platform infrastructure on Snowflake, owning the platform end to end.
Champion data quality, governance, and consistency, ensuring high-trust data for all downstream consumers.
Build with AI-native tooling, setting up development environments and establishing team practices for the AI era.
RxSense is a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform, connecting the pharmacy ecosystem.
Design, develop, and maintain scalable data models in Snowflake for marketing analytics.
Work hands-on with Google Analytics data, SQL, and Python to build reliable data pipelines.
Collaborate with stakeholders to turn business requirements into precise technical deliverables.
The partner company operates in a data-driven environment where analytics engineering transforms marketing data into actionable business insights. With a collaborative and remote-first culture, it values proactive problem-solving and high engineering standards.
Own Moxie's data infrastructure end to end: pipelines, warehouse, and the modeling layer that every published number depends on.
Partner with Engineering on production schema changes and with Finance to model accounting logic.
Deliver high-impact data projects like accrual accounting models and historical EMR data modeling.
Moxie empowers aesthetic entrepreneurs to build profitable, independent practices. It is a global, remote-first team supporting 700+ practices nationwide, with a culture of ownership, speed, and care.
Architect and maintain robust data ingestion pipelines that feed both application and analytics.
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data.
Build reliable, automated pipelines with data quality tests, monitoring, and safe reprocessing.
GoFasti is a Talent-as-a-Service company that bridges world-class developers and designers from Latin America with first-class companies globally. They focus on remote work and building high-performing, autonomous teams.
Design, develop, and optimize cloud-based data solutions on Snowflake to transform raw data into actionable insights.
Build and maintain ETL/ELT pipelines, integrating data from multiple enterprise sources into centralized cloud platforms.
Collaborate with technical teams to ensure data quality, scalability, and performance across cloud data architecture.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies through an objective, fair review process. It specializes in remote and contract opportunities, supporting a collaborative and data-driven culture.
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 and maintain scalable ETL/ELT pipelines in Snowflake
Build and optimize data models and workflows for BI and analytics
Integrate data from APIs and collaborate with cross-functional teams
Software Mind is a multicultural team of engineers who ramp up top-notch companies' projects. They are in constant growth with an excellent work environment certified by Great Place To Work.
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, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion to analytics enablement.
Work closely with Product, Analytics, and Engineering to improve data quality and monitoring.
We are a next-generation sports betting and gaming platform built for a new wave of players. With over 400,000 players, we’re a high-performance team operating at pace with high ownership and constant iteration.
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.
Execute end-to-end migration of ~1,000 datasets to Snowflake, ensuring reliable data delivery.
Modernize orchestration from Airflow 2 to Airflow 3 and migrate Hive structures to Apache Iceberg.
Optimize pipelines using Python, Spark, PySpark, Kafka, and AWS S3 with a focus on performance.
The company is modernizing legacy data infrastructure to a scalable, high-performance environment, migrating 1,000 datasets to Snowflake. They value technical excellence, autonomy, and efficient delivery in a globally distributed engineering culture.
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 high-quality datasets for customer-facing reporting.
Collaborate with engineers to assess and mitigate the impact of upstream product changes.
Mentor junior engineers and teach them SDLC best practices and engineering methodologies.
Immersive is a cyber resilience platform that helps organizations test and improve security readiness. Founded in 2017, the company has grown to over 300 employees globally and has been voted a Best place to 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.
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 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, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Develop reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.
Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare. The company integrates brand, marketing, technology, and revenue strategy to help healthcare organizations attract and retain patients, grow brand equity, and protect margins.