Deliver high-quality data sets by curating, consolidating, and manipulating large-scale data sources.
Build high-quality data pipelines and ETL processes on platforms like Snowflake and BigQuery.
Partner with analytics, data science, and machine learning teams to provide data solutions.
Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. With over 500 million reviews and 390 million monthly visitors, the company is data-driven and offers a unique, global work environment that captures the speed and innovation of a startup.
Translate business goals into concrete data solutions.
Collaborate with peers, manage multiple priorities, and communicate project status.
Apply best practices in data pipelines, schemas, and system design.
DEPT is a growth invention company helping ambitious brands grow at the intersection of technology and marketing. With over 4,000 specialists, it values collaboration, curiosity, and getting things done.
Build and enhance data solutions and AI initiatives for insurance using GCP and BigQuery.
Code BigQuery procedures and implement scalable data models within the data lake.
Collaborate with cross-functional teams to deliver solutions aligned with business objectives and data governance guidelines.
Applied builds cloud software and AI-powered solutions for insurance agencies and brokers worldwide. With over 40 years of industry experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Own external market data ingestion end to end, from acquisition to warehouse delivery.
Build entity resolution and canonical item models to map messy inbound records.
Set schema contracts and maintain dbt models across marketplace, vault, payments, and event data.
We are a collectibles trading platform that enables instant liquidity for items like trading cards and comics, with all assets securely vaulted and insured. We are a remote-first startup focused on growth and innovation, hiring across all functions.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
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.
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.
Build the foundational data platform for analytics, risk, and decision-making, migrating siloed data into a unified BigQuery warehouse.
Design and operate reliable ETL/ETL pipelines, consolidate fragmented data sources, and establish standards for ingestion, transformation, and documentation.
Own data quality, observability, and access controls while partnering with Data Science, Engineering, Risk, and Product teams.
Ondo Finance provides institutional-grade, blockchain-enabled investment products and services, developing decentralized finance technology and managing tokenized funds. Founded by Goldman Sachs Digital Assets alumni, the company is backed by top investors like Founders Fund and Coinbase Ventures, is well-capitalized and growing quickly, with a fully remote team across the U.S.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Own data pipelines end to end - ingestion, transformation, warehousing, and delivery into BI.
Build and maintain dbt models with tests, documentation, and clear contracts.
Own product analytics: instrumentation, event tracking, usage models, and metrics for GTM and product teams.
Cortex is the Engineering Operations Platform providing visibility, governance, and golden paths for engineering organizations. We are a team of 80 passionate individuals excited about building a product that developers love.
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.
Own and evolve the marketing data platform, designing and maintaining ETL/ELT pipelines on BigQuery and dbt that scale with growing measurement needs.
Design, build, and deploy AI agents and applications on Google Cloud to automate marketing and product workflows, giving teams self-serve leverage.
Uphold engineering best practices across an AI-assisted codebase, ensuring version control, code review, automated testing, and secure, reproducible deployments.
Absorb Software is a leading AI-driven learning platform provider, helping organizations unlock workforce potential through strategic learning systems. Trusted by over 3,300 organizations and 34 million users, the company fosters a culture of genuine care, unity, and continuous learning.
Build and maintain data pipelines connecting source systems like e-commerce, marketing, and finance platforms to a data warehouse in Google BigQuery.
Model the data warehouse with clear logic, develop transformation models with tests and documentation, and ensure data reliability and consistent definitions.
Manage platform security, including access controls, pipeline monitoring, and automating processes with versioning, code reviews, and automated tests.
Naturtreu develops dietary supplements to help people care for their bodies consciously. The company is a 100% remote digital brand that has grown continuously since 2018, reaching hundreds of thousands of people monthly, with a team that values responsibility, practicality, and execution.
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.
Design, build, and maintain scalable data pipelines and ETL/ELT processes using Databricks and Spark.
Architect and optimize data models and storage solutions for analytics and operational use.
Implement observability, alerting, and data quality monitoring for critical pipelines.
Sonatype provides end-to-end software supply chain security solutions, protecting against malicious open source and managing SBOMs. With over 2,000 organizations and 15 million developers using its platform, it focuses on innovation and security in software development.
Curate and deliver media datasets end-to-end, from raw data to final packages.
Translate customer AI data requirements into curation strategies with messy data.
Build scripts and QA workflows to improve delivery speed and consistency.
We provide recruitment and staffing services to various industries through innovative solutions. We are highly trained business professionals with a strong understanding of client needs.
Collaborate with Data Science, Product Managers, and Software Engineers to build robust ETL pipelines for user-facing features.
Contribute to architecture decisions, observability tooling, and data quality initiatives to keep the platform robust.
Enforce engineering best practices across the AI/ML org, including code quality, testing, and documentation.
Federato is an AI-native platform for insurance, enabling insurers to provide affordable coverage for climate, cyber, and social inflation risks. It is a small, well-funded company backed by the investors behind Salesforce, Veeva, and Zoom, with a culture focused on first principles, learning, and fun.
Lead end-to-end data engineering projects from discovery to production deployment, including complex data modeling and high-volume matching.
Design platform-agnostic data pipelines and schemas, ensuring scalability and performance across Snowflake, Databricks, and other platforms.
Define data integration strategies and communicate tradeoffs to clients, guiding architecture and tool selection.
Blend is a premier AI services provider that leverages data science, AI, and technology to drive client impact. The company fosters a culture of innovation and collaboration, working with global teams and clients.
Design, build, and maintain scalable data pipelines for ingestion and transformation.
Work with Python, SQL, Apache Airflow, and Google Cloud Platform.
Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
Our partner is a technology company focused on AI and data solutions. The team values collaboration, innovation, and continuous learning, and offers a remote work environment.