Collaborate with team members to gather business requirements and design robust data models for analytics.
Configure and maintain cloud data warehouses and ELT pipelines to ensure reliable, high-quality data.
Support global reporting by monitoring data quality, improving data flow, and coordinating with data engineering and IT teams.
Hyland is a content services company providing the Content Innovation Cloud, delivering enterprise intelligence and automation to organizations worldwide. With nearly 4,000 employees, Hyland fosters an employee-centric, inclusive culture that supports career development, wellbeing, and community engagement.
Act as a strategic analytics partner for teams across the business, transforming complex questions into actionable insights.
Build reliable datasets, dashboards, and analytics foundations to enable faster and smarter decision-making.
Improve how teams use AI-powered data tools by ensuring accuracy, trustworthiness, and meaningful insights.
Our partner is a fast-growing technology company backed by leading investors. They have a remote-first culture with a collaborative environment focused on ownership and transparency.
Design and evolve business intelligence solutions to make complex data accessible to stakeholders.
Build semantic models, define KPIs, and create intuitive dashboards for better decision-making.
Establish consistent reporting standards and promote self-service analytics across the business.
The company helps organizations turn data into trusted, actionable business insights. It operates in a remote-first environment with a collaborative culture.
Own the reliability of data pipelines, proactively identifying and fixing issues.
Design and optimize dimensional data models using dbt for scalable analytics.
Partner with technical and business teams to ensure data accuracy and usability.
Homeward creates financial products to simplify homebuying, giving buyers and sellers certainty. It is a remote-first real estate startup with a diverse team across multiple countries, grounded in values of empathy, focus, and teamwork.
Partner with leadership to develop an AI-enabled data analytics strategy for scale.
Establish best-practice governance across the data ecosystem ensuring accuracy and compliance.
Mentor technology leaders and foster a culture of data-informed decision making.
Jane is a founder-led, high-growth SaaS company building products that thousands of clinics rely on daily. With over 700 employees working remotely across Canada, the US, and the UK, we foster a culture of adaptability, resilience, and delight.
Apply technical expertise to extract, integrate, and analyze critical data to identify business challenges and opportunities.
Develop and maintain data warehouses, datamarts, and optimize ETL processes and CI/CD pipelines.
Collaborate with cross-functional teams including Tech, Risk, RevOps, and Marketing to execute initiatives and support business objectives.
Kafene is a fintech company revolutionizing the lease-to-own space with AI-powered analytics. Our 150-person team spans NYC, Wilmington, and remote locations, and we pride ourselves on a collaborative and supportive culture.
Build and maintain data pipelines, warehouses, and the underlying infrastructure.
Develop AI agents and internal workflows on top of the data foundation to drive efficiency.
Enable the product and broader organization to make faster, data-driven decisions.
Duvo Inc. is a company that leverages data to create AI-native workflows and agents, enabling faster, data-driven decisions across the organization. They are a team focused on innovation and building efficient data foundations.
Design, build, and maintain serverless data pipelines on AWS using Lambda, Glue, Athena, S3, and Step Functions to support analytics and AI.
Develop ETL/ELT workflows to ingest, cleanse, and load data from internal and third-party sources into a data lake, ensuring data quality and reliability.
Collaborate with Analytics, Data Science, and AI teams to understand data requirements and create robust data models and feature stores.
ParetoHealth is redefining how employers fund healthcare as the largest and fastest-growing benefits captive in the United States. Headquartered in Philadelphia, it is a rapidly growing company driven by core values such as Fire in the Belly and For the Greater Good.
Design and maintain dbt models that encode business logic, metric definitions, and dimensional structures.
Own the AnswersNow QuickSight environment end-to-end including data source connections, SPICE datasets, and access controls.
Design and maintain outcomes reporting packages for external payor audiences, ensuring accuracy standards.
AnswersNow is a trailblazing virtual ABA therapy platform designed by clinicians to make autism therapy more immediate, accessible, and effective for families everywhere. The company operates fully remote with a team dedicated to reshaping autism therapy and making a meaningful impact.
Leverage AI-assisted tooling to optimize data pipelines and code generation, and develop AI-ready datasets to support machine learning and GenAI initiatives.
Build Data Warehousing systems, reporting and analytics.
Translate business needs into technical requirements and specifications to support Data Engineering and Analytics Engineering development.
Loadsmart is a growth-stage logistics technology company valued at over $1 billion, reinventing the future of freight by helping shippers, brokers, warehouses, and carriers move more with less. With headquarters in Chicago and a globally distributed remote team, we are a collection of industry veterans and user-centered engineers committed to driving meaningful change.
Design and implement data pipelines and analytic infrastructures with the latest technologies.
Build data warehouses, create dashboards, and develop self-service data exploration capabilities.
Leverage AI tools to enhance client and internal capabilities, including AI agents and agentic infrastructure.
Fractal River is a consulting firm that helps companies scale faster by building robust technical and operational infrastructure. They work with a diverse range of clients, from startups to established organizations, fostering a culture of continuous learning and AI integration.
Become a trusted data and AI advisor, translating business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, lakehouses, and ETL/ELT pipelines.
Engineer modern ELT/ETL pipelines and data models using SQL, Python, and tools like Snowflake, Databricks, and dbt.
Aimpoint Digital is a fully remote data and analytics consultancy that partners with innovative software providers to solve complex business problems. The team is dynamic and collaborative, working independently on client engagements across industries.
Transforming structured data into actionable business insights for strategic decision-making.
Creating reliable dashboards, reports, and performance indicators for business areas.
Collaborating with Customer Success, Operations, and Finance teams to deliver data solutions.
The partner company leverages business intelligence to drive strategic and operational decisions. It values data-driven improvements and operational efficiency, working with multidisciplinary teams.
Build and edit SQL to power audience building and email and direct mail campaigns.
Work directly with a single enterprise client to understand their business needs and data landscape.
Design and build scalable data models that support the client's analytical and operational goals.
GrowthLoop is a founder-led company that builds a composable customer data platform and agentic marketing engine to help enterprises leverage first-party data for targeted campaigns. They partner with brands like Google, Costco, and Ford, and maintain a remote-first culture with teams across North America and beyond.
Lead the development of analytics products and self-serve tools so teams across Wrapbook can access trusted data and use it independently.
Own analytics products end to end, from defining success metrics and designing schemas through testing, production deployment, data quality, freshness SLAs, and incident resolution.
Build and maintain reliable ETL/ELT pipelines and canonical datasets that support analytical workflows across the company.
Wrapbook is an AI platform for production finance, built for feature films, TV, and commercials. Trusted by teams at Netflix, Paramount, and Anonymous Content, the company of 350+ employees is backed by top investors and uses AI to transform how finance teams work.
Develop, modify, and maintain business reports and dashboards in BI tools like PowerBI, Tableau, and Databricks AI/BI.
Perform data modeling and transformation with large datasets, creating database views and derived tables.
Collaborate with cross-functional teams to ensure accurate, well-documented reporting and troubleshoot data discrepancies.
We help our customers in their data journey to power their business with scalable architectures and robust data engineering pipelines. We are a high-growth consulting company dedicated to Databricks, with a focus on innovation and customer centricity.
Execute cross-functional analytics support by gathering requirements, fielding data requests, and building dashboards for leadership decision-making.
Work hands-on with SQL, dbt, and enterprise BI platforms to create accurate data models and reports.
Collaborate with teams to translate business questions into clear, trustworthy insights.
Carrot is the leading global fertility and family care platform, providing clinical guidance and support to millions across 195 countries. The company is a recognized healthcare innovator with awards like Fast Company's 'Most Innovative Companies', and operates with a collaborative, mission-driven culture.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Design, build, and maintain reliable data pipelines using SQL and Python.
Develop and optimize data models in Snowflake or equivalent cloud data warehouses.
Diagnose and resolve data quality issues and support production operations.
Our partner company is seeking a data-focused engineer to build clean, reliable data solutions. They emphasize collaboration, continuous learning, and technical craftsmanship with a remote-first culture.
Drive marketing analytics initiatives by delivering actionable insights to improve campaign performance and user acquisition.
Support business integration and M&A projects by consolidating reporting structures and aligning KPIs.
Design and maintain scalable data models and ELT pipelines within modern cloud data platforms.
Jobgether's partner company is a data-driven company that focuses on marketing analytics and business transformation across multiple markets. They operate as a fully remote, international team with a collaborative and innovation-focused culture.