Build and maintain data transformation pipelines using dbt and Snowflake, ensuring data quality and lineage.
Harmonize multimodal clinical data from multiple health systems into a unified ontological layer for AI developers.
Implement data quality tests, CI/CD, and version control best practices for analytics codebases.
Dandelion Health is a health tech company building the world's largest AI training and clinical development platform. It is a small, early-stage startup with a culture of learning from data and improving to help clients improve health through AI.
Design and build scalable data models and pipelines using Snowflake and dbt.
Collaborate with cross-functional stakeholders to translate business needs into data solutions.
Establish best practices for data modeling, metrics, and documentation to enable self-service analytics.
The company is a remote-first SaaS provider building scalable solutions for enterprise customers. It fosters a culture of ownership, collaboration, and continuous innovation.
Architect and optimize scalable data models and semantic layers in modern cloud data warehouses.
Build and maintain robust data pipelines and ETL/ELT workflows for seamless data ingestion.
Design intuitive, high-performance dashboards and interactive visualizations for actionable insights.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. They offer nearshore technology services through staff augmentation and dedicated IT teams.
Design, build, and deploy scalable ETL/ELT pipelines from diverse source systems into Snowflake Data Cloud.
Manage and optimize data flows within an AWS environment, leveraging Databricks and Python for high-scale processing.
Implement a Semantic Layer via dbt to standardize business logic, metrics, and dimensions for all downstream consumers.
Instructure creates intuitive products that simplify learning and personal development, amplifying the power of people to grow and succeed. They offer competitive benefits and a culture rooted in inclusivity, support, and meaningful connection.
Design, develop, and maintain scalable data models for enterprise reporting and analytics.
Build and optimize ETL/ELT pipelines using modern data transformation frameworks like DBT.
Partner with business stakeholders to translate needs into scalable analytical solutions.
Agilon health is a healthcare company focused on transforming the delivery of care for Medicare Advantage and value-based care models. The company fosters a collaborative culture with a passion for improving healthcare through data and analytics.
Collaborate with Finance stakeholders to understand requirements and deliver data models for financial reporting.
Build and maintain dbt models across the full modeling stack following layered dimensional modeling practices.
Apply software engineering best practices to analytics code: version control, testing, CI/CD, and documentation.
Seismic is a software company that provides a sales enablement platform. The Corporate Data & Analytics team builds data assets for financial reporting and planning across the business.
Define and execute the long-term data strategy and architecture, ensuring scalable, reliable, and trusted data foundations.
Design, build, maintain, and optimize high-impact data pipelines connecting business systems, internal platforms, and data warehouses.
Lead a multidisciplinary Data organization spanning Data Engineering, Machine Learning Engineering, and Analytics, driving team growth and technical excellence.
This company is a fast-growing technology organization that leverages data and AI to drive innovation. It fosters a collaborative environment with a strong emphasis on growth, ownership, and technical excellence.
Design, build, and maintain robust, scalable ELT/ETL data pipelines from various source systems into cloud data platforms.
Perform data modeling, including dimensional modeling, and build transformation layers using dbt to create analytics-ready datasets.
Support operational reliability, monitor data pipelines, and ensure SLAs for timeliness, freshness, and accuracy.
Troveo builds the data platform that AI labs and model builders need to train the next generation of models. Backed by top investors, we’re a small, high-impact team solving one of the biggest bottlenecks in AI development.
Design, develop, and maintain scalable data pipelines that transform complex customer data into actionable business value.
Work across the full data lifecycle, from ingestion and transformation to activation and analytics.
Use modern cloud technologies and AI-assisted development workflows to create reliable, high-performing data solutions.
Jobgether uses an AI-powered matching process to help candidates find roles and connects top-fitting applicants directly with hiring companies. The company fosters a remote, collaborative environment with a focus on efficient recruitment.
Design, develop, and maintain robust, scalable, and well-documented data pipelines.
Collaborate with the Tech Lead to ensure quality, performance, and maintainability of Data products.
Optimize data processing and operational costs while working closely with Data Analysts and Scientists.
Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our 5,000 talents are committed to delivering tech and digital experiences across 110 countries, shaping the future of hospitality with a strong culture focused on development and sustainability.
Own and expand the semantic layer in dbt as the single source of truth for metrics across dashboards, reports, and AI tools.
Build and maintain analytics products that drive business value for internal teams and partner-facing dashboards.
Make data trusted, accessible, and easy to use through documentation, data literacy initiatives, and collaboration with cross-functional stakeholders.
Mainstay provides an Engagement Platform that helps colleges and businesses start and measure conversations to drive action at scale. The company is a division of Lemnis, a public charity, and fosters a collaborative and inclusive work environment.
Build and maintain data pipelines in Snowflake and dbt to support reliable, auditable reconciliation between internal and external systems.
Own and improve data workflows related to Claim Reimbursement and Contract Sales, ensuring accurate financial tracking and reconciliation with partners.
Partner closely with Accounting, Engineering, Operations, and Reporting to align and reconcile internal and external financial data.
Extend is revolutionizing the post-purchase experience for retailers and their customers by providing AI-driven solutions that enhance customer satisfaction and drive revenue growth. They work with over 1,000 leading merchants across industries, are backed by prominent investors, and are headquartered in San Francisco.
Build and maintain data models and transformations powering reporting in the Skimmer product using Fivetran, dbt, and Sigma Computing.
Manage and extend data ingestion across growing sources, develop transformations in Python and SQL against Snowflake.
Partner with product and engineering to turn customer needs into reliable, performant reporting experiences.
Skimmer builds a product that helps pool professionals understand and grow their businesses through data models and customer-facing reports. The company has a strong culture with a very high eNPS, emphasizing hard work, celebrating wins, and continuous improvement.
Administer a cloud data warehouse platform (e.g., Snowflake) including roles/permissions, performance tuning, security, and cost governance.
Design scalable, reliable, and secure data architectures and models.
Develop and maintain ETL/ELT pipelines using SQL, Python, and version control.
Fortune Brands Innovations is an industry-leading home, security and digital products company focused on transforming spaces into havens. With a high-performing team, they support an inclusive culture where associates are empowered to think big and learn fast.
Lead the Analytics Engineering team to build a trusted semantic metrics layer powering decision-making across the company.
Partner cross-functionally with Engineering, Product, Data Science, Finance, and Executive Leadership to define data strategy and ensure scalable, accessible data.
Drive technical excellence in data modeling, governance, and infrastructure while managing and developing a high-performing team.
HighLevel is an AI-powered business operating system that provides agencies, entrepreneurs, and SMBs with infrastructure to build, automate, and scale their operations. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership, fostering a culture of initiative, clarity, and execution.
Build advanced data pipelines using Snowflake and AWS, leveraging AI-assisted development and Medallion Architecture.
Design analytical data models and write complex Python/SQL to ensure high performance and 99.95% uptime.
Mentor junior engineers and drive architectural improvements, supporting data governance and automation.
Spring Venture Group is a digital direct-to-consumer sales and marketing company specializing in Medicare Supplement and related products. It is a leading company with a family of brands and a dedicated team of licensed insurance agents, fostering a diverse and inclusive culture.
Design, develop, and maintain Power BI dashboards, reports, and KPI frameworks to support enterprise decision-making.
Develop and maintain dimensional data models and ETL/ELT processes to ensure data accuracy and reliability.
Partner with stakeholders to translate business requirements into scalable analytics solutions and drive data-driven recommendations.
Cornerstone Building Brands is a leading manufacturer of exterior building products for residential and commercial buildings in North America. The company employs over 18,800 team members and is committed to corporate stewardship and ESG responsibility.
Design, build, and maintain scalable data pipelines using Python, SQL, Snowflake, Dagster, dbt, and AWS.
Own end-to-end data engineering projects from ingestion through to analytics enablement.
Improve monitoring, alerting, and data quality across key pipelines.
Midnite is a next-generation sports betting and gaming platform built for a new wave of players. Over 400,000 players have joined, and the team operates with high ownership and fast iteration in a scale-up environment.
Design and own the data foundations that power decision-making across product squads, customer success, marketing, and external stakeholders.
Build and maintain scalable semantic layers and self-service analytics systems enabling non-technical stakeholders to access trusted insights.
Partner with product squads to translate operational and product challenges into production-ready data pipelines and analytics assets.
Our partner company is building a fast-scaling product and data ecosystem where analytics is a product itself, supporting healthcare innovation. It is a mission-driven organization offering a remote-first work model with a Paris office and a collaborative culture.
Provide technical advocacy for analytics engineering practices, supporting users and communities through troubleshooting, debugging, and guidance.
Create educational resources like tutorials, documentation, and demos to promote best practices and modern data workflows.
Gather user feedback and translate insights into recommendations for product strategy and continuous improvement.
Jobgether is a platform that uses AI-powered matching to connect candidates with job opportunities. It processes applications to identify top-fitting candidates for hiring companies, focusing on transparency and fair evaluation.