Architect and lead the design of data systems serving both operational business stakeholders and product/engineering teams.
Extend internal AI platform and bring software engineering rigor to data work including testing, CI/CD, and code review.
Build and own data models, partner with product engineering, and mentor teammates to raise the technical bar.
ZipRecruiter is a leading online employment marketplace powered by AI-driven intelligent matching technology. The company has the #1 rated job search app on iOS & Android and connects job seekers with millions of businesses.
Develop long-term technical vision and design scalable data systems.
Build and maintain production data pipelines using Python and integrate external APIs.
Mentor engineers and uphold standards for engineering excellence.
Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. They work with Fortune 500 enterprises and government agencies to close skills gaps, and foster a culture of empowerment and diversity.
Build and maintain BigQuery data models using Dataform, following medallion architecture patterns.
Build robust Python data pipelines with testing, linting, and CI/CD integration.
Support Data Scientists in moving work from notebook to production pipeline.
Kitman Labs is a performance intelligence company disrupting the sports industry by using data to unlock athlete potential. Their team of top data scientists, performance scientists, and engineers serves over 2000 teams in 50 leagues globally, fostering an innovative and world-class culture.
Design, build, and operate data pipelines processing terabytes of transactional data daily using Airflow, BigQuery, and GCP services.
Own end-to-end data models and transformations powering merchant analytics, operational reporting, and ML features.
Improve data quality, lineage, and observability through testing, alerting, and validation frameworks.
Narvar is building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers, powering analytics, ML, and merchant-facing products for over 1,500 brand partners. The company serves 125+ million consumers worldwide across 38 countries and 55 languages, fostering a culture of innovation, collaboration, and inclusivity.
Take ownership of our dbt pipeline, improving data models for reliability and testing.
Maintain and extend our Looker setup, shipping new dashboards for stakeholders.
Strengthen data pipelines from Postgres to BigQuery and automate with Python.
Cosuno is a fast-growing tech startup revolutionizing construction through a digital platform for tenders and procurement. With a focus on diversity and inclusion, the team enjoys regular off-sites and a collaborative culture.
Design, build, and maintain high-quality data pipelines and data models from scratch within a data mesh architecture.
Build AI-powered capabilities such as data/AI agents and natural-language interfaces to amplify team productivity.
Partner with analysts and stakeholders to turn loosely defined needs into clear, well-scoped technical work.
Wellhub is a platform that connects employees worldwide to partners for fitness, mindfulness, therapy, nutrition, and sleep through a simple subscription. Headquartered in NYC with team members in Europe, North America, and South America, we are on a mission to make every company a wellness company with a team that values wellbeing, collaboration, and diverse perspectives.
Play a crucial role in helping client organizations transform raw data into reliable, well-modeled assets that drive business decisions.
Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform.
Collaborate with data engineers, analysts, and clients on end-to-end data requirements and project delivery.
Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. Our culture is built on a foundation of trust, collaboration, and continued improvement, and we are a remote first company that offers competitive pay and excellent benefits.
Work with senior business stakeholders to break down problems and design analytics solutions.
Provide technical leadership for best practices in data modeling, ETL, and data quality.
Design and build data pipelines to enable decision-making through analytics.
Nortal is a digital transformation company that delivers complex solutions for global enterprises and public sector organizations. With over 25 years of experience and 160 new hires annually, we foster a close-knit remote culture emphasizing autonomy, open communication, and respect for diversity.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Prepare clean, documented datasets as a product for AI agents and self-service analytics.
Promova redefines language education for the AI-powered era, making learning accessible and personal worldwide. With over 150 teammates, they blend AI innovation with human creativity to connect people and bridge cultures.
Design, build, and maintain ETL pipelines moving data between application databases, cloud warehouses, third-party APIs, and object stores.
Partner with product managers, research scientists, and engineers to translate ML requirements into scalable data solutions.
Investigate and resolve data integrity issues including missing data, incorrect mappings, duplicates, and schema mismatches.
Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company has a network of over 500,000 linguists and domain experts with seven ISO certifications.
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.
Lead complex data engineering workstreams across multiple business areas and source systems.
Define data engineering approaches aligning business needs with platform constraints and transformation patterns.
Guide the design of scalable ingestion, transformation, and serving patterns for cloud data platforms.
Valtech is an experience innovation company that helps brands unlock new value through digital transformation. With a global team, Valtech fosters a culture of creativity, diversity, and collaboration, driven by values of share, care, and dare.
Partner with business stakeholders across Operations, Customer Success, Product, Growth, and Learning to drive data-informed decisions.
Own data modeling and engineering, ensuring data quality and trust in dashboards and pipelines.
Advance AI-native data practices and collaborate with engineering on analytics architecture.
Pathstream transforms frontline employees into strategic contributors through enterprise partnerships. We are a mission-driven team of ~60 employees with a tight-knit, hardworking culture focused on scaling our solution across the United States.
Architect the Operations Intelligence Warehouse, leading the cleanup and design of operational data in BigQuery.
Set data modeling standards with dbt, building dimensional models with testing, lineage, and version control.
Instrument the operation with dashboards and metrics for real-time visibility into throughput, cycle time, and yield.
Collective is on a mission to redefine the way businesses-of-one work, providing an integrated platform for business incorporation, accounting, bookkeeping, and tax services. Backed by General Catalyst, Sound Ventures, and other prominent investors, the company empowers self-employed individuals to achieve tax savings and financial independence.
Build and operate production-grade ingestion pipelines from clinical, operational, and third-party systems into a Databricks lakehouse.
Develop and maintain dbt models to transform raw data into clean, documented, analytics-ready datasets.
Establish data quality, testing, and monitoring practices to ensure pipeline reliability and performance.
Zócalo Health is a tech-enabled, community-oriented primary care organization serving underserved populations with culturally competent care. Founded in 2021, the company is backed by leading healthcare investors and is scaling rapidly with a focus on value-based care.
Own data end to end, from raw source to analysis that drives decisions for growth, finance, and product.
Build and operate pipelines in BigQuery with Airflow, model in dbt, and deliver analysis in Hex.
Work AI-first, using modern tooling to move faster while staying accountable for production output.
Supabase provides a complete backend platform including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search, built by developers for developers. With 280+ team members across 55+ countries and $500M raised, they are open-source-first and globally distributed.
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.
Design and build scalable data pipelines and architectures using Databricks, Azure Data Factory, and ADLS to support analytics and AI use cases.
Integrate structured and unstructured data from multiple enterprise sources into robust cloud data platforms for financial domains like credit analysis and document intelligence.
Apply DevOps practices and collaborate with stakeholders to modernize legacy reporting systems and enable real-time data-powered decision-making.
This role is listed on behalf of a partner company that focuses on data-driven transformation initiatives, designing scalable data pipelines for advanced analytics and AI use cases. They offer a collaborative technical environment and invest in continuous learning and cutting-edge technologies.
Build and maintain data pipelines for analytics, ML, and product applications.
Design scalable data infrastructure with a focus on quality and observability.
Collaborate with cross-functional teams to understand data needs and implement solutions.
Prolific builds human data infrastructure to power the next wave of AI innovation. They are a remote-first company focused on ethical data collection and mission-driven culture.