Lead and develop a team of talented data engineers, providing cultural and technical mentorship and ensuring quality delivery.
Design and build highly available, petabyte-scale data infrastructure, including ETL pipelines and data models for blockchain analytics.
Collaborate with data scientists and product managers to plan roadmaps, resolve production incidents, and drive work based on measurable outcomes and KPIs.
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.
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 data engineers responsible for a platform processing billions of payment events across 80+ countries.
Own the full technical lifecycle and architecture, driving best practices for data modeling, pipeline reliability, and compliance.
Collaborate cross-functionally in an agile environment to deliver a data platform supporting fraud detection, analytics, and product decisions.
Yuno builds payment infrastructure enabling global commerce for companies via a unified API connecting to over 300 payment methods. The company leverages AI for intelligent routing and fraud prevention and is a fast-moving, remote-first tech company with a global team culture focused on high performance and ownership.
Architect and scale a high-performance data lakehouse on GCP using tools like StarRocks, Apache Iceberg, BigQuery, and Kafka.
Design, build, and optimize distributed query engines such as Trino, Spark, or Snowflake to support complex analytical workloads.
Develop and orchestrate robust ETL/ELT pipelines using Apache Airflow, Spark, and GCP-native services like Dataflow and Composer.
TRM Labs provides blockchain analytics and AI solutions to help law enforcement, financial institutions, and cryptocurrency businesses detect, investigate, and disrupt crypto-related fraud and financial crime. They are a Series C company with $220M in funding, operate as a distributed-first team across global hubs, and foster a high-velocity, high-ownership culture that values speed, experimentation, and impactful problem-solving.
Lead, manage, and mentor a group of data engineers.
Own the design and development of data pipelines and systems.
Partner cross-functionally with Data Science and Product managers.
TrueML is a mission-driven financial software company that aims to create better customer experiences for distressed borrowers. The TrueML team includes inspired data scientists, financial services industry experts and customer experience fanatics building technology to serve people.
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.
Drive the strategy, design, and delivery of scalable data platforms.
Provide senior technical leadership through architecture decisions and code reviews.
Manage, mentor, and grow a distributed team of software and quality engineers.
Firstup improves the employee experience at every moment that matters, large and small. As the communication pipeline for the world's workforce, they serve 40 of the Fortune 100 companies, reaching and connecting more than 17 million employees daily.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement internal process improvements, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Coderoad is a software development company that provides end-to-end software development services. It provides an opportunity to work on exciting, real-world projects in a supportive environment, offering staff augmentation, dedicated IT teams, and general software engineering.
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.
Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.
Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.
Design and build the core data infrastructure powering Vantage's platform.
Own architecture decisions for systems built on ClickHouse, Temporal, Kubernetes, and Postgres.
Drive reliability, performance, and scalability initiatives across the platform as data volume and customer load grows
Vantage is the FinOps platform built for modern engineering teams. They are a high-output team of ~50 employees based in New York City with a remote-friendly culture.
Build and optimize scalable ETL and data lake processes to proactively catch issues.
Own the ingestion, modeling, and transformation of structured and unstructured data to support business reporting.
Partner with BI and Analytics to deliver clean datasets that improve user acquisition and revenue.
Launch Potato is a profitable digital media company that connects consumers with leading brands through data-driven content and technology via brands like FinanceBuzz. Headquartered in South Florida, the company operates with a remote-first, high-growth team spanning over 15 countries and values speed, ownership, and measurable impact.
Build data pipeline, ELT, and infrastructure solutions to power internal analytics and customer-facing data products.
Design and optimize ETL processes that merge data from disparate sources for consumption by analysts, business owners, and customers.
Redesign and optimize existing data processes using AI, such as LLM-assisted development, to improve team productivity and enhance data quality.
Recharge is the subscription platform for the world's fastest-growing brands and Shopify's premier subscription solution, building the future of commerce around customer retention. As a hands-on partner to over 20,000 global brands, it is known for relentless product innovation and a culture that values ownership and empathy.
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.
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.
Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers.
Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers
Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge.
Airalo is the world’s first and largest eSIM store, helping travelers stay connected seamlessly in over 200 countries and regions. They trust their teams to take ownership, put customers first, and do work that has a real impact every day.
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.
Lead the technical onboarding of partner institutions onto UDTS.
Design, build, and maintain scalable data pipelines and architectures.
Collaborate with team members to set engineering standards and guide data infrastructure strategy.
DataKind is a non-profit organization that uses data science and AI to address global challenges. They work with various sectors like health, humanitarian action, climate, economic opportunity, and education to create data-driven tools.
Build dashboards, reports, and visualisations that make complex data accessible to technical and non-technical stakeholders
Design and execute quantitative analyses on large-scale blockchain and market datasets
Identify and scope new data streams that unlock deeper analysis across Jito's products
Jito Foundation promotes the adoption of Jito Network products, including JitoSOL and BAM. They are lean and effective, with a flat culture that prioritizes empowering multi-talented self starters to develop and pursue their own strategic vision.
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.