Design data transformation pipelines that convert raw health signals, user inputs, and third-party data into structured, queryable context
Architect event-driven ingestion using tools like Kinesis, EventBridge, and SQS - handling duplicate events, traffic spikes, and partial failures gracefully
Define flexible data models and schemas for a hierarchical health context ontology that evolves as new context types emerge
Architect and sustain self-healing pipelines using Astronomer/Airflow to ensure 24/7 data availability.
Design and optimize event-driven API ingestion frameworks leveraging AWS Lambda and DLT (Data Load Tool).
Manage high-performance modeling within AWS Redshift, utilizing DBT to transform raw transactional data into high-fidelity business intelligence.
Odisea helps close the opportunity gap between Colombia and the United States by redefining nearshoring. They are building a passionate team of professionals committed to this purpose.
Design Scalable Data Architecture: Build modern, cloud-native data platforms (AWS, Snowflake, Databricks) supporting batch and streaming use cases.
Develop Efficient Data Pipelines & Models: Automate ETL/ELT workflows, optimise data models, and enable self-serve analytics and AI.
End-to-End Data Ownership: Manage ingestion, storage, processing, and delivery of structured and unstructured data.
Trustonic makes smartphones affordable, enabling global access to devices and digital finance through secure smartphone locking technology. They partner with mobile carriers, retailers, and financiers across 30+ countries, powering device financing solutions. The company celebrates its diversity and is looking to do the right thing: for each other, the community and the planet.
Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning
Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact
Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response
Gopuff is reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. They are assembling a team of thinkers, dreamers and risk-takers who know the value of peace of mind in an unpredictable world.
Identify structural weaknesses and eliminate operational fragility.
Define clear ingestion, validation, and testing standards across the platform.
Drive ambiguous initiatives from concept to production-ready outcomes.
Life360's mission is to keep people close to the ones they love. By continuing to innovate and deliver for our customers, they have become a household name and the must-have mobile-based membership for families. Life360 has more than 500 (and growing!) remote-first employees.
Build and operate data services driving our applications and APIs
Collaborate with team members and across Engineering to iteratively prototype and develop new functionality
Partner with product managers and other Zusers
Zus is a shared health data platform designed to accelerate healthcare data interoperability by providing easy-to-use patient data via API, embedded components, and direct EHR integrations. Founded in 2021, it partners with HIEs and other data networks to aggregate patient clinical history and then translates that history into user-friendly information at the point of care.
Architect, design, implement, and operate end-to-end data engineering solutions using Agile methodology.
Develop and manage robust data integrations with external vendors and organizations (including complex API integrations).
Collaborate closely with Data Analysts, Data Scientists, DBAs, and cross-functional teams to understand requirements and deliver high-impact data solutions.
SmartAsset is an online destination for consumer-focused financial information and advice, whose mission is helping people make smart financial decisions, reaching over an estimated 59 million people each month. A successful $110 million Series D funding round in 2021 valued the company at over $1 billion.
Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.
Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.
Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting
Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs
Ensure data integrity, availability, lineage, and observability across complex pipelines
Remote People is building the infrastructure to power borderless teams. Their technology handles global payroll, benefits, taxes, and compliance, enabling businesses to compliantly hire anyone anywhere at the push of a button. They are a growing, international family.
Build tools that interact with external health data networks.
Collect information about our patients and load it into Zus data stores at high volume.
Work on RESTful services that are used both internally and externally.
Zus is a shared health data platform designed to accelerate healthcare data interoperability. Founded in 2021 by Jonathan Bush, the company partners with HIEs and other data networks to aggregate patient clinical history and then translates that data into user-friendly information.
Own and evolve the data infrastructure that powers Clever's core data products.
Maintain and improve data pipeline reliability, monitoring and resolving pipeline failures.
Design and implement ingestion for new operational data sources that support Clever's speed-to-match initiative.
Clever Real Estate is a venture-backed technology company aiming to revolutionize real estate transactions. They have built a leading online education platform helping consumers save money and have earned a 4.9 TrustPilot rating with over 3,800 reviews.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. At ATPCO, they believe in flexibility, trust, and a culture where your wellbeing comes first.
Build, optimize, and maintain data pipelines that power our business
Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
Design, build, and evangelize a federated data validation frameworks to be used to monitor potential data inconsistencies
Garner Health strives to transform the healthcare economy, delivering accessible, high-quality healthcare. They are a fast-growing healthcare technology company dedicated to making a meaningful impact on healthcare at scale with a team of talented, mission-driven individuals.
Build pipelines to load data from various systems into Dataiku via S3 or Snowflake.
Increase the robustness of existing production pipelines, identify bottlenecks, and set up a robust monitoring, testing processes, and documentation templates.
Build custom applications and integrations to automate manual tasks related to customer operations to help Product Operations / Support / SRE in their day-to-day activities
Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value.
Lead the modernization of the core data ingestion infrastructure that powers our global intelligence products.
Drive the architectural transition of established ingestion systems into a configurable high-scale, cloud-native ecosystem.
Provide growth mentorship, technical decision-making and operational excellence, while leading your AI-enabled team to Enterprise scale.
Siteimprove is the leader in agentic content intelligence that brings together accessibility, analytics, SEO/AEO, and content strategy into a single, continuous flow. Their AI agents work alongside marketing and digital teams to create high-performing, accessible content.
Work cross-functionally with Product and subject matter experts to conceptualize, prototype, and build data solutions
Connect disparate datasets (e.g. claims, contract rates, demographics data) to empower internal and external stakeholders
Build and maintain data engineering systems that support AI use cases, including scalable ingestion pipelines, feature generation, and downstream products
Turquoise Health aims to make healthcare pricing simpler, more transparent, and lower cost. They are a Series B startup backed by top VCs with an accomplished group of folks with a passion for improving healthcare.
Maintain and improve the internal flows, services, and modules that enable the AI agent to operate stably and efficiently.
Implement technical optimizations aimed at improving performance, resource usage, and response times.
Diagnose, resolve, and prevent agent-related incidents, including root cause analysis and hardening actions.
Baubap is building the most inclusive financial platform in LATAM. They need robust, stable backend systems capable of sustaining intelligent automation at scale and seem to have a multicultural, highly driven team of professionals.
Design, develop, and maintain scalable backend services using Python.
Build and optimize data pipelines and ETL workflows.
Design and implement REST APIs and internal service integrations.
SD Solutions is a staffing company operating globally. Wider (ex. HyperAd) is a fast-growing platform that automates creative optimization through machine learning, enabling global brands to scale high-performing ads using data-driven automation.
Own reliability, scalability and cost discipline of ingestion and transformation systems
Design and deliver infrastructure for real-time/near-real-time feature computation
Lead and grow a small, ambitious team while raising technical standards
Yazio is a nutrition app with millions of users in over 150 countries, driven by its mission to transform the world through healthy eating. They champion a focus-driven culture that values efficiency, offering a high-impact environment supported by a diverse, international team committed to growth and well-being.
Design, develop, and maintain scalable data pipelines using cloud data services.
Serve as a technical leader, defining data engineering standards and best practices.
Lead the design and implementation of optimized data models in our cloud data warehouse.
Constant Contact empowers people by giving them the help and tools they need to grow online. They are energized by new challenges and possibilities, and they celebrate diversity and inclusion with programs in place to bring people together.
Gathering requirements for, and implementing streaming and batch pipelines
Developing and maintaining of batch data pipelines using AWS Glue, Lambda, and Python
KOHO's mission is to make financial services better for every Canadian by offering transparent financial products designed to help users spend smart, save more, and build wealth. They are a performance organization that values autonomy, high trust, and work-life integration.