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.
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 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.
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.
Partner closely with business stakeholders to understand their challenges and design end-to-end architecture.
Design, develop, and own robust, efficient, and scalable data models in Snowflake and Iceberg using dbt and advanced SQL.
Build and manage reliable data pipelines and CI/CD workflows using tools like Airflow, Python, and Terraform.
Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. Motive serves nearly 100,000 customers and provides complete visibility and control across a wide range of industries.
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.
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.
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.
Architect, implement, and maintain scalable data architectures.
Develop, optimize, and maintain ETL processes.
Optimize data processing and query performance.
Blueprint Technologies is a technology solutions firm that helps organizations unlock value from existing assets by leveraging cutting-edge technology. Their teams have unique perspectives and years of experience across multiple industries. They believe in unique perspectives and build teams of people with diverse skillsets and backgrounds.
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.
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.
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.
Design and implement scalable data ingestion and transformation pipelines using Databricks and cloud platforms
Lead architecture decisions for modern data platforms, including Medallion Architecture and Lakehouse patterns
Build and maintain ETL/ELT pipelines using Python and SQL, following engineering best practices
AOT Technologies helps enterprises and governments bring their ideas to life. As a boutique consulting firm, they partner with enterprises, startups, and governments to solve complex, mission-critical challenges. Their teams are collaborative and their leadership is transparent.
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.
Lead the architecture and evolution of scalable, distributed data pipelines, ensuring high availability and performance at scale
Build and maintain distributed web scraping systems using tools such as Playwright, Selenium, and BeautifulSoup
Integrate AI and LLMs into engineering workflows for code generation, automation, and optimization
MercatorAI is building scalable data infrastructure to power high-quality, data-driven decision making at scale. As an early-stage company, the team is focused on creating robust, future-ready systems that can handle complex data ingestion, transformation, and delivery across a growing national footprint.
Define and execute HappyCo’s overall data strategy aligned with company and product goals
Design and implement a canonical entity model that connects data across operational systems
Oversee the architecture and evolution of HappyCo’s data platform, including the data warehouse, pipelines, and transformation layers
HappyCo builds modern property management software that helps owners and operators deliver better living experiences at scale. They are a values-driven company that offers a flexible, supportive culture. Their team is made up of thinkers, talkers, planners, makers, builders and everything in between.
Design, build, and maintain scalable data pipelines for clients across industries.
Architect and optimize cloud data warehouse solutions, adapting to each client's stack.
Collaborate with analysts and data scientists to ensure data is clean, reliable, and well-modeled.
NuView Analytics helps companies accelerate the time to insights from their data through data analytics, diligence, and fractional data science. They are a growth-stage company looking to drive additional value from the data they are sitting on and value humility, intellectual rigor, and stewardship.
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.
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.
Design and implement scalable data models in Snowflake
Build and maintain transformation pipelines using dbt
Develop optimized star/snowflake schemas for analytics and reporting
We are looking for a highly skilled Snowflake Data Engineer. We work closely with business stakeholders and deliver high-quality data models and insights.