Lead and manage a team of ~6 data engineers, driving execution, performance, and career development.
Own Kin’s data platform, including ingestion, storage, transformation, pipeline orchestration, and governance.
Build and optimize scalable data pipelines and architectures using tools like Snowflake, Databricks, DBT, and Airflow.
Kin simplifies homeowners' lives with smarter insurance, expanding to meet all homeowner needs. They employ Kinfolk across 35+ states and are recognized for growth, customer satisfaction, and a focus on long-term sustainability, fostering a culture of meaningful work and real impact.
Lead a team of engineers building Postscript’s Customer Data Platform from the ground up
Collaborate with product managers, data science, business stakeholders, designers, and other engineering teams to plan and execute work
Consistently provide ongoing technical mentorship and general professional development for your direct reports and other engineers at Postscript
Postscript gives e-commerce brands the tools they need to run a world-class SMS marketing program. They are a 100% remote organization with more than 250 employees, backed by Greylock, Y Combinator, and other top investors.
Lead and grow a team of data engineers, providing mentorship and technical guidance.
Own execution of customer integrations across multiple product lines, ensuring on-time delivery.
Improve data quality and pipeline reliability by investing in better alerting and resilience.
Afresh is the leading AI company in fresh food, partnering with grocers to order billions of dollars of fresh food. They are on a mission to eliminate food waste and make fresh food accessible to all and has saved 200M lbs of food waste in 2025 alone.
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.
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.
Build and lead a team of 4-5 data engineers focused on reusable product artifacts
Own the product data engineering backlog in partnership with product management
Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation
Qualified Health is redefining what’s possible with Generative AI in healthcare. They provide the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change. They are a fast-growing company backed by premier investors.
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.
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.
Own the architecture, reliability, and evolution of our GCP data platform.
Translate business priorities and client requirements into a clear, deliverable technical roadmap.
Consumer Edge empowers top investment firms and global consumer and corporate brands with cutting-edge insights into consumer spending, leveraging privacy-compliant data across geographies. Our real-time intelligence and merchant-level benchmarks give clients a competitive edge.
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 and implement scalable data architectures to support business needs.
Build and optimize data pipelines, ensuring data accessibility and security.
Develop and maintain data models, databases, and data lakes, with robust data governance.
Terawatt Infrastructure delivers large scale, turnkey charging solutions for companies rapidly deploying AV and EV fleets. With a growing portfolio of sites across the US, Terawatt is building the permanent transportation and logistics infrastructure of tomorrow through capital, real estate, development, and site operations solutions.
Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
Ensure data accuracy and performance using observability tools and resolve data issues.
Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.
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, 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 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.
Collaborate with product managers, data analysts, and machine learning engineers to develop pipelines and ETL tasks.
Establish data architecture processes and practices that can be scheduled, automated, replicated and serve as standards.
Manage individual Data Engineers to foster learning, growth and success at Doximity.
Doximity is transforming the healthcare industry with a mission to help every physician be more productive and provide better care for their patients. As medicine's largest network in the United States, they are committed to building diverse teams with an inclusive culture.
Lead the implementation of a resilient, privacy-first data platform architecture.
Lead the design, infrastructure, and tooling decisions for platform optimization.
Develop AI-ready architecture by creating semantic layers that define and standardize business logic.
Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. They value connecting with courage, ownership, and iterating to great.
Design and implement core backend systems and integrations that power the product.
Design and build our data platform (orchestration, pipelines, developer workflows)
Create scalable systems for data ingestion, transformation, and access
Avantos is building the AI-native operating system for financial services, transforming fragmented data into a single, intelligent system. They power workflows, automation, and decision-making as a product-led, fast-moving team in AI, fintech, and infrastructure.
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.