Design, build, and maintain scalable dbt data models across commercial, marketing, health outcomes, and clinical operations domains.
Act as a senior technical voice setting standards for data modelling, testing, documentation, and code quality.
Evaluate and champion AI-powered analytics tooling and mentor data scientists and analysts.
Numan is transforming health with a platform integrating diagnostics, medication, supplements, digital programmes, and doctor consultations. Founded in 2018, we're a 300+ team distributed globally, empowering people to take control of their health.
Design, build, and maintain data infrastructure that ensures data quality and accessibility.
Lead development of data products and an AI context layer to scale analytics.
Partner with finance and engineering to track data inconsistencies and execute sizing analyses.
Atlassian is a global software company that builds team collaboration and productivity tools. With a culture that values diversity and flexibility, we empower employees to work in ways that support their personal goals.
Own the credit risk data layer, from vendor data contracts to Snowflake warehouse tables and pipelines.
Monitor data freshness, volume, fill rate, schema, and drift; triage incidents to root cause and closure.
Build automated data quality tests and documentation for reproducible modeling datasets and governed metrics.
Kiwi Financial Inc. is a financial technology company that uses data and AI to make credit risk and lending decisions. The company is remote-first and works as a collaborative multidisciplinary team across Credit Risk, Data Science, Engineering, and Product.
Lead the integration of Flag Football data sources into the central data platform.
Coordinate data acquisition across clubs, leagues, vendors, and international partners.
Establish data governance, reporting frameworks, and participation measurement methodologies.
Adastra is a global leader in AI and data-driven transformation, helping organizations lead with artificial intelligence responsibly and strategically at scale. With over 25 years of experience and 2,000+ professionals across North America, Europe, and Asia, Adastra delivers end-to-end data and cloud solutions in a flexible, dynamic workplace.
Own fraud performance for depository products, monitoring losses, approval rates, false positives, and customer friction.
Build scalable data models, dashboards, and metrics to provide visibility into fraud risk and portfolio health.
Develop fraud strategies and partner with Product, Engineering, ML, and Operations to improve detection.
Affirm is a financial technology company offering consumers a clear, predictable way to pay over time with no hidden fees. We are a remote-first company with a culture focused on care, transparency, and flexibility.
Transform billions of daily events into reliable, scalable data products.
Design pipelines, models, dashboards, and analytics tools to enable data-driven decisions.
Collaborate with analysts, engineers, and product managers to translate business needs into high-quality data solutions.
This company operates at the forefront of large-scale ecommerce, search, personalization, and AI, processing billions of events daily. It is a fully distributed international team with a collaborative culture, offering autonomy and continuous improvement.
Designs integration architectures and data models for clinical electronic health record data, including imaging.
Ensures data accuracy and integrity through analysis, coding, documentation, and problem resolution.
Fosters self-service analytics and data governance, and mentors ETL team members.
The American Heart Association is a nonprofit organization dedicated to fighting cardiovascular disease and promoting heart health. It has been operating for over 100 years, offers a supportive culture with work-life harmonization, and provides extensive professional development resources.
Design, build, and maintain data pipelines, ETL/ELT processes, and API integrations.
Develop and maintain dashboards, reports, and data models using Power BI, GoodData, and Databricks.
Work with stakeholders to translate business requirements into reliable, accurate analytics solutions.
Dijital Team is a technology company that delivers data engineering, analytics, and business intelligence solutions for clients. We foster a collaborative and flexible culture with remote work, team events, and a strong focus on employee well-being and continuous learning.
Build the measurement and monetization layer for first-party commerce data, from event modeling to sponsored placements.
Own the product end-to-end: write the spec, design the data model, and decide build-versus-rent.
Work directly with customers and commercial teams to turn observed shopper behavior into revenue they can prove.
Terrific builds the next generation of social commerce, helping brands and publishers turn content, creators, live experiences and AI into commerce they own. They are a global, distributed company with a culture that prizes ownership, directness, and AI-native ways of working.
Own the Salesforce Data 360 architecture including canonical data model, ingestion, identity resolution, and activation.
Design segmentation, calculated insights, Agentforce grounding, and privacy-by-design consent and retention.
Model consumption costs, govern data streams, and lead technical and executive stakeholders.
AspenView Technology Partners builds high-performing nearshore IT teams that help North American clients innovate faster. The company is a people-first, purpose-driven organization where great culture drives great outcomes.