Architect, build, and refine our infrastructure and tools that enable other teams to work with data.
Efficiently handle vast amounts of clickstream, database, and third party application data, processing in batch and real-time
Take full ownership of the solutions you build, working with stakeholders to develop requirements, implement solutions, monitor production, and troubleshoot problems that arise.
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.
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 and implement scalable, high-throughput data ingestion systems.
Build and evolve a centralized data lake using Apache Iceberg.
Provide technical leadership through mentorship, code reviews, and design discussions.
Coupa provides a total spend management platform for businesses, which uses community-generated AI to multiply margins. They have a collaborative culture driven by transparency, openness, and a shared commitment to excellence, and are expanding their impact across the globe.
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.
Lead, mentor, and scale a high-performing data engineering team.
Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark.
Tekmetric is an all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better. Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution. They value transparency, integrity, innovation, and a service-first mindset.
Design, build, and maintain scalable data platforms using AWS to support analytics, machine learning, and emerging generative AI use cases.
Collaborate with data scientists, analysts, and engineering teams to translate business and AI requirements into scalable data solutions.
Work with large-scale datasets to build and optimize data pipelines using AWS services such as EMR (Spark, Trino), S3, Glue, Athena, and Airflow
Experian is a global data and technology company, powering opportunities for people and businesses around the world. They invest in people and new advanced technologies to unlock the power of data and to innovate. A FTSE 100 Index company listed on the London Stock Exchange, they have a team of 23,300 people across 32 countries.
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.
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.
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.
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
Oura is dedicated to empowering individuals to take ownership of their inner potential. They provide award-winning products that enable their global community to gain deeper insights into their readiness, activity, and sleep quality through the Oura Ring and its connected app, enhancing the health and lives of millions.
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.
Develop and maintain data models for core package application and reporting databases.
Monitor execution and performance of daily pipelines, triage and escalate any issues.
Collaborate with analytics and business teams to improve data models and data pipelines.
Bluelight Consulting designs and develops innovative software to enhance users' lives, focusing on quality and customer satisfaction. They foster a collaborative work environment where team members can grow, and are expanding across the US and Central/South America, seeking exceptional talent.
Experience with the integration of data from multiple data sources.
Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.
Experience designing, building, and maintaining data pipelines.
Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.
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.
Help build scalable data solutions and streamline data ingestion.
Maintain high-quality databases that support our scientific and operational teams.
Optimize our data infrastructure to ensure efficient data access.
Funga is a public benefit corporation addressing the climate crisis by harnessing forest fungal networks. They are a team of passionate scientists and builders working to draw down at least three gigatons of carbon dioxide from the atmosphere by 2050.
Lead the design and delivery of complex data engineering projects.
Design and develop core components of our data platform.
Mentor engineers on the team, elevating their skills and promoting best practices in data engineering.
MoonPay is a unified payments platform for digital currency, making it easy for anyone to buy, sell, swap, and pay in digital currencies. They are trusted by over 30 million customers and over 500 ecosystem partners, driving mainstream crypto adoption worldwide.
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion.
Implement data quality checks, monitoring, and validation processes.
Automate manual processes into centralized and scalable solutions.
Informa TechTarget accelerates growth from R&D to ROI, informing and connecting technology buyers and sellers. They are a vibrant community of over 2000 colleagues worldwide and traded on Nasdaq as part of Informa PLC.
Design and build event processing services and pipelines on AWS serverless.
Write production-quality Golang and/or Python code with comprehensive testing and observability.
Own services end-to-end: development, deployment, monitoring, incident response, and SLA adherence.
Pismo provides a comprehensive processing platform for banking, card issuing and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo's 500+ employees are located in more than 10 countries around the world.
Create robust pipelines to process massive daily volumes of data.
Build and support scalable pipelines as part of Torc’s Data Factory.
Scale Torc’s data lake through a distributed storage system.
Torc has been a leader in autonomous driving since 2007 and is now part of the Daimler family, focused on developing software for automated trucks. Their culture is collaborative, energetic, and team-focused, offering flexibility and valuing work/life balance.