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.
Build, maintain, and scale data pipelines integrating internal and external data into the warehouse.
Partner with internal stakeholders and engineering teams to understand analysis needs and improve data logging.
Participate in architectural decisions and evangelize data engineering best practices.
OXIO is the world’s first telecom-as-a-service platform, democratizing telecom for brands and enterprises to own proprietary mobile networks. The company is a rapidly growing startup with a diverse and inclusive team.
Development of various services in Python: integration with marketing partners, obtaining data from various sources.
Creation and support of processes on Airflow.
Supporting the migration of marketing data pipelines and DWH components from MS SQL to Google Cloud Platform (including BigQuery), contributing to architecture decisions and best practices.
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. Our international team of 1000+ professionals and digital nomads works all over the world and we are proud to be a two-time “Great Place to Work” winner.
Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and load data into data warehouses.
Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability across datasets.
Collaborate with data scientists, analysts, and business stakeholders to deliver effective data solutions.
Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. They focus on efficient and fair candidate evaluation through technology.
Architect and maintain cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Design and automate ETL/ELT workflows, optimize data models, and enable self-serve analytics and AI.
Manage end-to-end data lifecycles including ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable for the many, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, and pride themselves on a diverse, inclusive culture that values doing the right thing for each other, the community, and the planet.
Own end-to-end delivery of core data platform components including schema mapping, normalization, and validation pipelines.
Drive technical architecture for an AI-native data warehouse serving institutional financial clients.
Build AI evaluation infrastructure to ensure trustworthy outputs in high-stakes financial data contexts.
Juniper Square is a private market operations platform that unifies technology, data, and fund administration services for over 2,300 GPs. With 1,000+ employees and $350M+ in funding, the company has a founder-led culture focused on ambitious, meaningful work and diverse perspectives.
Collaborate with U.S.-based clients to architect data solutions and translate requirements into technical specifications.
Design and build batch and real-time data pipelines, automate ETL processes, and ensure data accuracy and security.
Leverage advanced SQL, Python, and cloud data warehouse technologies to drive data-driven decision making for clients.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they foster a global, collaborative culture focused on modernizing and competing in the digital era.
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.
Design and implement scalable, high-performance data pipelines to ingest and transform data from a variety of sources.
Build and maintain APIs that enable flexible, secure, and tenant-aware data integrations with external systems.
Implement observability, monitoring, and alerting to track data freshness, failures, and performance issues.
Northbeam is building the world's most advanced marketing intelligence platform for top eCommerce brands, providing powerful attribution modeling and customizable dashboards. The company is experiencing rapid growth with a strong product-market fit and a remote-friendly culture.
Develop tools and applications in Python for data processing, analysis, and forecasting.
Design and optimize Python/Snowflake-based data pipelines for ingesting, cleaning, and transforming data.
Collaborate with global technical and analyst teams to gather requirements and build innovative analytical solutions.
IDC provides trusted technology intelligence for business and technology leaders. With over 1,000 analysts globally, the company fosters a culture of rigor, integrity, and shared success.
Partner with analytics, marketing, and product teams to understand data needs and build systems for AI applications to access trusted data at scale.
Define standards, infrastructure, and governance for AI-driven experiences, ensuring data reliability, security, and usability.
Drive projects from design through production deployment, implementing data security and governance practices for sensitive data.
Rula is a mental healthcare company dedicated to treating the whole person with evidence-based, compassionate care. They are a remote-first organization with a focus on diversity, equity, and inclusion, hiring in most US states.
Design, build, and launch sophisticated data models and visualizations supporting multiple products.
Optimize pipelines, frameworks, and systems for easier development of data artifacts.
Collaborate with cross-functional teams and embody core values such as ownership and customer focus.
Outreach provides the only complete agentic AI platform for revenue teams. The company is used by world leading enterprises like Databricks, SAP, Siemens, and Verizon and promotes a culture of diversity and inclusion.
Build and maintain custom integrations and ETL processes between K-12 data and internal/external systems.
Design, implement, and optimize data pipelines to support school operations.
Collaborate with stakeholders to understand data needs and deliver robust, scalable solutions.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. The company offers an inclusive culture with flexible PTO, comprehensive health benefits, and professional development allowances.
Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
Develop and test applications for analytics pipelines and support digital analytics implementations.
Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.
Leverage test-driven development to deliver backend systems and user interfaces for healthcare data integration.
Design, implement, and maintain data models, ETL processes, and APIs for performance and scalability.
Contribute to automated testing suites and optimize data operations for integrity and security.
Bellese is a mission-driven digital services company pioneering innovative technology solutions in civic healthcare. With a collaborative, remote-first culture, the team is focused on improving public health outcomes through service design and skilled engineering.
Own the dbt project end to end, including documentation, testing, dev/prod separation, and clean schema design.
Own the semantic layer with metric definitions, data quality standards, and governance processes for self-service analytics.
Own data observability and orchestration, monitoring pipelines and building infrastructure on AWS.
Nest Health is the first value-based care provider built for families, making comprehensive medical, behavioral, and social care accessible to America’s highest risk families. Founded in 2022, Nest is a startup with a fast-paced, ever-changing environment where employees wear multiple hats and are highly autonomous.
Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
Implement data contracts between back-office and the platform.
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture.
Build scalable Python-based data pipelines and backend services for analytics workflows.
Design software systems using object-oriented programming and sound engineering practices.
Create and support platforms for analytics development, model training, and model deployment.
Experian is a global data and technology company that powers opportunities for people and businesses worldwide across markets like financial services, healthcare, and automotive. With a team of 25,200 people in 32 countries, Experian invests in advanced technologies and its people to unlock the power of data.
Build and maintain dbt models and core datasets supporting Accounting reporting and downstream automation.
Improve platform reliability through testing patterns, alerting, and runbooks.
Own and document data pipelines and lineage, ensuring changes are understandable and auditable.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without hidden fees or compounding interest. The company is remote-first with a focus on people-centric culture and competitive benefits.
Drive Prompt's mission to improve healthcare by building full-stack data and analytics features end-to-end.
Own the design and development of complex data systems, including data models and user-facing interfaces.
Partner with stakeholders across the company to define success criteria and deliver analytics products that drive improvement.
Prompt delivers B2B enterprise software to rehab therapy businesses, making data actionable for better patient care. The company is rapidly growing, with a talented and proven team focused on solving complex healthcare problems and promoting a healthy, smart work culture.