Design and build critical data infrastructure to onboard a new marketing mix modeling and incrementality testing vendor.
Translate external vendor schema into a production-ready data mart, bridging internal DTC data with external ingestion.
Manage full merge request workflow using GitLab, adhering to strict peer review processes before deployment.
Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions to companies of all sizes. The team of 600+ highly skilled tech professionals based in Latin America drives digital disruption by partnering with U.S. companies on impactful projects.
Build upon and scale our current data infrastructure to meet evolving business needs and capture critical business logic.
Work closely with the Senior Analytics Engineering Manager to create and improve data models and development environments.
Contribute expertise and promote best analytics engineering practices through collaboration with other data teams and stakeholders.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, with brands like GOAT, Flight Club, and Grailed. They have a global community of over 60 million members across 170 countries, offering a wide range of styles through digital platforms and retail locations.
Design, develop, and maintain scalable data pipelines and infrastructure.
Build and optimize data warehouses, databases, and data models.
Implement and maintain data governance and security practices.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They connect candidates with companies; their culture is collaborative and inclusive, focused on innovation and growth.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
Design, build, and maintain scalable data infrastructure using modern cloud technologies.
Develop robust batch and streaming data pipelines to ingest, process, and serve data.
Contribute to the implementation of a modern data lakehouse architecture.
Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. The system identifies the top-fitting candidates and shares this shortlist with the hiring company.
Build and maintain dashboards focusing on advertising campaign performance and audience delivery.
Analyze multi-faceted datasets including audience composition, reach, frequency, and venue-specific performance.
Translate technical campaign data into client-ready value propositions for executive leadership and sales teams.
Truelogic is a leading provider of nearshore staff augmentation services based in New York. It employs over 600 skilled tech professionals across Latin America, fostering a culture that values expertise and career growth through transformative projects.
Lead the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
Architect and build the semantic layer powering AI-driven analytics.
Design, build, and refactor DBT models to maintain a trustworthy source of truth for enterprise KPIs.
Bring data to life with compelling presentations and reports that drive key decisions and actions.
Roofr is focused on providing their customers with the tools that they need. They have built a CRM that connects solutions such as payments, material ordering, and more into a platform.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
Implement curated data model layer in dbt across data domains.
Design and build dbt models across the layered architecture.
Develop and optimize incremental models to handle high-volume domains.
Blend is an AI services provider, committed to co-creating meaningful impact for its clients through data science, AI, technology, and people. They aim to fuel bold visions by seamlessly aligning human expertise with artificial intelligence, dedicated to unlocking value and fostering innovation.
Build, define, and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources.
Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake.
Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact.
Appfire empowers teams to break silos and collaborate seamlessly with its software. They are a remote-first company with 850+ employees (called "fireflies") across 28 countries, fostering a culture of respect and growth.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Lead, coach, and develop a team of analytics engineers and/or data engineers.
Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions.
Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime.
SmarterDx builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, their platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Own data pipeline development. Build and maintain reliable pipelines that ingest, transform, and deliver healthcare data across the organization.
Design warehouse data models. Create scalable schemas and data structures that support analytics, reporting, and evidence generation.
Lead data transformation strategy. Establish frameworks and standards that improve consistency, maintainability, and performance.
Pivotal Health builds a technology platform to help healthcare providers get paid fairly in complex reimbursement landscapes. The company is a collaborative, low-ego team on a mission to make healthcare reimbursement fairer.
Own dbt and the semantic layer that defines how Fora measures its business in code.
Partner closely with the VP of Data & AI, Data Engineering, and Risk & Analytics.
Shape how a $4B+ originator understands its business through data modeling decisions.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. The company has grown to nearly 200 employees and values a collaborative, partner-centric culture.