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 and scale analytics models that turn complex healthcare data into tested, documented datasets.
Own major sections of the data model and support engineering, product, and customer success teams.
Build reports and dashboards in BI tools like Metabase, and keep documentation current.
Healthie is an AI-native, ONC-certified EHR platform for modern outpatient healthcare, powering clinics with scheduling, billing, and data tools. With over 40,000 providers and 21 million patients, we work fast, remain customer-obsessed, and have raised $42M.
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.
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.
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.
Operate, monitor, and automate production environments using Terraform and GitLab CI/CD, and support incident response.
In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM. They partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.
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.
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.
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.
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.
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.
Design and optimize Snowflake performance, cost, and workload isolation across products.
Establish dbt standards, reusable transformations, and CI/CD quality gates.
Drive data reliability, observability, and incident root-cause remediation.
Kodiak Solutions provides technology-driven solutions for healthcare finance, unclaimed property, risk management, and revenue cycle management. Its mission is to simplify complex financial operations so healthcare providers can focus on patient care.
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.
Own the full path from data ingestion to visualization, including governance and observability, building on Snowflake, dbt, and Fivetran.
Partner with Finance, Sales, Operations, and venue teams to model business data and power self-service analytics in ThoughtSpot.
Apply governance day to day, test conversational analytics with golden question sets, and work AI-native with agents and humans held to the same review bar.
Convene Hospitality Group operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations, and its culture values GRIT, in-person connection, and supporting employees across all aspects of life.
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, build, and maintain scalable ETL/ELT pipelines using Snowflake and Apache Airflow.
Optimize data processing, ensure data quality, and support reliable delivery of data solutions.
Collaborate with engineers, analysts, and stakeholders to turn requirements into effective data engineering.
Element Solutions is a digital transformation partner that builds modern digital solutions for government and commercial customers. It is a remote-first, HUBZone-certified company based in Washington, DC, with a vibrant team focused on impactful work.
Own end-to-end delivery of complex data pipelines and integrations, from source onboarding to operational handoff.
Design and maintain dbt models that transform raw data into curated, tested, and consumption-ready datasets.
Ensure pipeline reliability through monitoring, alerting, and root-cause analysis that drives preventative fixes.
Great Minds is a mission-driven Public Benefit Corporation founded by educators in 2007, developing research-based math, science, and ELA curricula trusted by schools nationwide. The organization is high-growth and collaborative, committed to supporting educators and students with meaningful content and responsive service.
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.
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.