Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides the first and only client experience platform for appointment-based, self-care businesses, empowering customers to give their clients more of the magical moments that matter most. They value diverse backgrounds and believe in equal opportunity for all.
Plan, develop, train, evaluate, and monitor machine learning models.
Conduct experiments, proof of concepts (PoCs), and discovery initiatives.
Explore and analyze business data, performing diagnostic, predictive, and prescriptive analyses.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against a role's core requirements. Their system identifies the top-fitting candidates and shares this shortlist directly with the hiring company.
Design, implement, and maintain scalable, high-performance data architectures connecting relational and non-relational systems.
Manage end-to-end data pipelines, ensuring seamless ingestion from scrapers to AI/ML workflows.
Audit and optimize existing workflows for efficiency, accuracy, and flexibility.
Jobgether is a pioneering HR Tech startup, operating entirely remotely, and leading the revolution in the world of work. As the largest job search engine designed exclusively for remote workers, its mission is to empower individuals to discover opportunities that align seamlessly with their unique lifestyles.
Design, build, and maintain ETL/ELT pipelines and integrations across legacy and cloud systems.
Model, store, and transform data to support analytics, reporting, and downstream applications.
Build API-based and file-based integrations across enterprise platforms.
Jobgether is a platform that uses AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They identify the top-fitting candidates and share this shortlist directly with the hiring company.
Work with large, messy, and complex data sets using analytical, statistical, ML, and AI approaches.
Collaborate with Data and Analytic Engineers to improve data quality and generate reusable assets.
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product and business strategy.
Weedmaps is a global leader in the cannabis industry, dedicated to transparency, education, and community. Founded in 2008, Weedmaps fosters a bustling and collaborative culture that focuses on the benefits of weed and the community that supports it.
Design, build, and optimize scalable data architectures that power marketing analytics and survey measurement initiatives.
Deliver automated, high-impact data solutions and insights that enhance decision-making across teams.
Build robust pipelines, dashboards, and analytical frameworks in fast-paced environments.
ItD is a consulting and software development company that blends diversity, innovation, and integrity with real business results. They reject any strong hierarchy, empowering teams to deliver excellent results in a woman- and minority-led firm.
Architect, develop, and deploy robust, scalable data solutions using Azure tools.
Design and optimize ETL/ELT data pipelines using Python, PySpark, and SQL.
Build and manage modern data architectures, including data lakes and warehouses.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, develop and deploy advanced statistical or machine learning models for high-impact business use cases.
Lead end-to-end delivery of data science initiatives from problem framing and model design through deployment.
Partner with cross-functional teams to integrate models into applications and proactively identify and solve problems.
Forward Financing is a financial technology company based in Boston, Massachusetts. They are on a mission to unlock the capital that fuels small businesses across America and they have team members throughout the United States, Dominican Republic, and Canada.
Develop automated data analysis workflows to increase productivity.
Implement data extraction, cleaning, and integration processes.
Utilize advanced statistical and machine learning techniques.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Design, build, and maintain scalable data pipelines using Microsoft Fabric and Apache Airflow
Ingest, transform, and integrate data from a variety of sources, including relational systems, APIs, and MongoDB
Design and maintain analytical data models, including fact and dimension tables, to support reporting and analytics
Theoria Medical is a comprehensive medical group and technology company dedicated to serving patients across the care continuum with an emphasis on post-acute care and primary care. Theoria serves facilities across the United States with a multitude of services to improve the quality of care delivered, refine facility processes, and enhance critical relationships.
Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs
Build, deploy, and optimize Power BI dashboards and other reporting tools to support strategic decision-making
Write well-structured, testable code in Python, R, and SQL to support analytics workflows
Praxis Precision Medicines is a clinical-stage biopharmaceutical company translating genetic insights into the development of therapies for central nervous system disorders. They value trust, ownership, curiosity and results, and have a team of smart, engaged and inspiring colleagues.
Design, build, and maintain scalable data pipelines.
Apply dimensional modeling techniques to design tables and views.
Automate manual processes to improve efficiency and speed.
The Knot Worldwide champions celebration and powers meaningful moments for millions around the world. They are a team of passionate dreamers and doers united by connection and committed to the global community, believing the best ideas come from empowered and collaborative teams.
Lead the development of robust data pipelines and optimize data architecture.
Translate complex requirements into scalable data solutions.
JBS is an equal opportunity employer that values its employees. They are committed to hiring individuals authorized for employment in the United States on a W2 basis.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic provides smartphone locking technology, enabling global access to devices and digital finance. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. They celebrate diversity and aim to do the right thing for each other, the community, and the planet.
Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and homegrown solutions.
Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.
Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. They are a transportation technology company that raised $450M in their Series D funding round in March of 2025 and are on an exciting trajectory as a company.
Create and maintain optimal data pipeline architecture
Extend our machine learning platform by designing tools that interface with cloud services
Build the infrastructure required for optimal extraction, transformation, and loading of data
NinjaHoldings aims to revolutionize how Americans interact with financial services. They have a lean and innovative team that empowers people overlooked by traditional financial institutions through digital banking and lending products.
Design, build, and maintain robust, tested, and documented data models in dbt to support analytics and business intelligence.
Ensure data accuracy, consistency, and security through validation testing and monitoring tools.
Improve and automate data workflows, version control, and deployment practices across the analytics stack.
TrustedHousesitters is a marketplace connecting pet owners and sitters to keep pets happy at home while their humans explore the world. They've grown into a global community with members in over 140 countries and a team of more than 100 people.
Partner with BI Analysts, Operations, Product, and Engineering teams to define and assess data requirements.
Design, implement, and maintain ETL/ELT pipelines and data integrations.
Build and manage data architecture, including relational and dimensional databases or cloud data warehouses.
Jobgether is an AI-powered matching service that helps candidates get reviewed quickly, objectively, and fairly. They identify top-fitting candidates and share this shortlist directly with the hiring company.