Design and evolve scalable data pipelines and architectures.
Act as the primary anchor for data ingestion, transformation, and storage solutions.
Ensure mission-critical data is accessible and reliable.
CodeRoad provides end-to-end software development services, helping businesses scale with ideal infrastructure solutions. From staff augmentation to dedicated IT teams and general software engineering, their nearshore technology services empower businesses to thrive in an ever-evolving digital landscape.
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.
Design and build mission critical data pipelines with a highly scalable distributed architecture.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for business stakeholders.
Build and support reusable framework to ingest, integration and provision data
StockX is a Detroit-based technology leader focused on the online market for sneakers, apparel, accessories, electronics, collectibles, trading cards, and more. They employ 1,000 people across offices and verification centers around the world and their platform connects buyers and sellers using dynamic pricing mechanics.
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.
Responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team.
Coach & mentor other engineers to support the growth of their technical expertise.
Implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption.
YLD is a software engineering and design consultancy that creates digital capabilities for their clients. The company has offices in London, Lisbon, and Porto and aims to attract, inspire, develop, and retain extraordinary people.
Design, deploy, and maintain large-scale Kafka event streaming infrastructure.
Collaborate with engineers to enable new features and ensure data pipeline reliability.
Execute and automate Kafka cluster upgrades, migrations, and major version rollouts.
Yelp's engineering culture values teamwork, individual authenticity, and creative solutions. They are all about helping their users, growing as engineers, and having fun in a collaborative environment.
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.
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 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.
Build and maintain the high-throughput, event-driven pipelines responsible for processing the history of assets and vulnerabilities.
Design systems that handle massive scale, ensuring data accuracy and real-time availability.
Use Terraform and Datadog to deploy, monitor, and ensure the health of services in production.
Tenable is the Exposure Management company, with 44,000 organizations using it to understand and reduce cyber risk. Their global employees support 65 percent of the Fortune 500, 45 percent of the Global 2000, and large government agencies, fostering a culture of belonging, respect, and excellence.
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.
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.
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.
Own the backend systems that rank and serve personalized content to hundreds of millions of Spotify users.
Work in an AI-native development workflow and implement backend changes across services.
Collaborate as part of a cross functional team to turn ideas into production systems.
Spotify transformed music listening forever when we launched in 2008! Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators.
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.
Design and build Kafka-based services in Java Spring Boot applications.
Shape Kafka and data architecture, defining topic strategies.
Own schema and data contracts, working with product and data engineering.
PropertyRadar is a hyperlocal lead generation platform for property-centric small local businesses to discover, understand, and connect with new opportunities. They turn complex public record data into actionable insights for real estate investors, agents, lenders, home services, and more.
Take ownership, improve, scale, and iterate on existing data processing pipelines.
Design and implement new data processing pipelines.
Collect and monitor performance metrics.
Mapbox is the leading real-time location platform for a new generation of location-aware businesses. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance.
Collaborate with Data Science, Product Managers and Software Engineers to build robust ETL pipelines.
Contribute to architecture decisions, observability tooling, and data quality initiatives.
Contribute to a scalable internal framework for managing prompt engineering pipelines and AI workflows.
Federato is on a mission to defend the right to efficient, equitable insurance for all by enabling insurers to provide affordable coverage. They are well funded by those behind Salesforce, Veeva, Zoom, Box, etc, and they value learning and the ability to change their minds.