Strengthen the real estate MLS data platform squad.
Build robust data pipelines and backend services.
Evaluate and monitor infrastructure to improve systems over time.
Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company on track to hit $100M in annual recurring revenue in the next six months. Founded in 2016, Luxury Presence has grown to a global team and has raised $89 million to date.
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.
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.
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 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.
Building and maintaining production-grade data pipelines in cloud data warehouses.
Designing and developing dbt models across bronze, silver, and gold layers.
Crafting easy-to-understand visualizations and dashboards in Looker or equivalent BI tools.
Plume is a trans-founded, mission-driven company with a vision to transform healthcare for every trans life by making gender-affirming hormone therapy easily accessible. They offer an affirming, trans-centered, culturally inclusive, and fun work environment filled with purpose.
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.
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 and implement data ingestion and transformation pipelines using PySpark/SparkSQL on Databricks.
Own data pipelines end-to-end in production: freshness, correctness, availability, and SLA adherence.
Build and maintain Delta Lake tables following medallion architecture patterns.
Pismo, founded in 2016, provides a comprehensive processing platform for banking, card issuing, and financial market infrastructure. With over 500 employees across more than 10 countries and now part of Visa, they empower firms to build and launch financial products rapidly with high security and availability standards.
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.
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 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.
Organize and structure data systems at both macro and micro levels, designing and implementing data architectures that support business goalsOptimize data pipelines for performance, reliability, and scalability
Design, build, and maintain scalable ETL/ELT pipelines with Airflow to process large-scale, complex datasets
Demonstrate ability to delivery of of data products useful for machine learning and AI research and development (data models, metadata and semantics)
Owkin is an AI company on a mission to solve the complexity of biology. It is building the first Biology Super Intelligence (BASI) by combining powerful biological large language models, multimodal patient data, and agentic software.
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.
Own organizational-wide data architecture, defining standards and designs.
Design and develop data pipelines, integrations, and platform features.
Partner with product managers to define new data features and capabilities.
They offer a connected equipment platform for managing mixed assets. The company values quality, continuous learning, and collaboration within a dynamic team environment.
Contribute to architecture and implement robust data pipelines.
Drive the creation of a secure, compliant, and privacy-focused data warehousing solution.
Partner with the data analytics team to deliver a data platform that supports accurate, actionable reporting.
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. The company values making the mission matter, iterating to great, owning the outcome, and connecting with courage.
Lead and grow a team of data engineers responsible for SentiLink’s data platform and infrastructure.
Define and drive the technical vision for data ingestion, processing, storage, and serving systems.
Design and evolve scalable data pipelines (batch and real-time) to support product and data science use cases.
SentiLink provides identity and risk solutions. They empower institutions and individuals to transaction with confidence. They have grown quickly and are backed by world-class investors.
Design, build, and maintain production data pipelines using Python, Prefect, Airflow, Jenkins or any other orchestration framework multi-phase algorithmic workflows.
Build and optimize advanced SQL transformations in Snowflake, including window functions, CTEs, stored procedures, UDFs, and semi-structured data processing.
Build and maintain dbt models for data transformation, identity resolution, and slowly changing dimension (SCD Type 2) tracking across 80+ models and multiple pipeline stages.
Kalibri helps to redefine and rebuild the hotel industry. They are looking for passionate, energetic, and hardworking people with an entrepreneurial spirit, who dream big and challenge the status quo; their team is working on cutting-edge solutions for the industry.
Serve as the embedded technical lead for Databricks customer engagements.
Own Databricks platform architecture, design decisions, and technical standards.
Lead delivery of complex data pipelines and analytics workloads on Databricks.
540 is a forward-thinking company that the government turns to in order to #getshitdone. They break down barriers, build impactful technology, and solve mission-critical problems.