Design and ship data infrastructure at the core of modern data platforms, scalable pipelines, and reporting layers.
Work directly with the CEO and a small senior team, owning results from day one.
Build client-facing systems, translating business problems into architecture and delivering results.
Paradox Machines is a data and AI company that helps businesses make their data actually usable. They are a venture-backed company with a small, senior team that values ownership and impact.
Design highly scalable, mission-critical market data provider services.
Maintain good software quality and test coverage, and participate in code reviews.
Troubleshoot incidents and reported bugs.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, and more. The company is backed by $400 million in funding and has a diverse team of 400+ members across multiple countries.
Build the foundational data platform for analytics, risk, and decision-making, migrating siloed data into a unified BigQuery warehouse.
Design and operate reliable ETL/ETL pipelines, consolidate fragmented data sources, and establish standards for ingestion, transformation, and documentation.
Own data quality, observability, and access controls while partnering with Data Science, Engineering, Risk, and Product teams.
Ondo Finance provides institutional-grade, blockchain-enabled investment products and services, developing decentralized finance technology and managing tokenized funds. Founded by Goldman Sachs Digital Assets alumni, the company is backed by top investors like Founders Fund and Coinbase Ventures, is well-capitalized and growing quickly, with a fully remote team across the U.S.
Design and implement core components of the streaming platform including Kafka-compatible APIs and storage systems.
Solve complex distributed systems problems involving performance optimization and reliability.
Debug production issues, collaborate with customers, and contribute to open-source projects.
StreamNative, founded by the creators of Apache Pulsar, is redefining real-time data streaming with its URSA engine. The company is a growing startup focused on building a cloud-native streaming platform with a culture of engineering excellence.
Design, build, and improve systems to reliably and efficiently process data at the scale of tens of terabytes per day.
Evaluate new technologies and set best-practice standards with Data Engineering and Data Platform Engineering.
Drive cross-functional projects with stakeholders across Mozilla and mentor teammates to develop engineering best practices.
Mozilla Corporation is a non-profit-backed technology company that makes pioneering brands like Firefox, the privacy-minded web browser, and works on diverse areas including AI, social media, security. The company is wholly owned by the non-profit Mozilla Foundation, with over 225 million monthly users, and focuses on making the internet better for people.
Build and maintain data infrastructure processing petabytes of data across millions of users.
Write clean, well-tested code for data ingestion, transformation, and serving systems.
Own projects end-to-end and collaborate with data scientists, engineers, and product teams.
Discord is a voice, video, and text communication platform built for gaming communities, with millions of daily active users. The company fosters an inclusive, collaborative culture focused on deepening friendships around games and shared interests.
Design, build, and maintain robust, scalable, and secure infrastructure systems supporting Laurel's AI-driven platform.
Manage and optimize cloud infrastructure (AWS and Azure), Kubernetes orchestration, and CI/CD pipelines to increase deployment frequency and reliability.
Implement comprehensive observability, monitoring, and alerting to maintain system health and partner with engineering teams to optimize performance and cost-efficiency.
Laurel is an AI Time platform for professional services firms, automating work time capture and connecting time data to business outcomes for clients like EY and Crowell & Moring. The company comprises top AI, product, and engineering talent, is VC-backed by Google Ventures and IVP, and fosters an inclusive, ambitious culture.
Build the data control plane for governance and discovery.
Create paved roads for data products with SDKs and CI/CD.
Ensure every data product is observable by default.
Kargo creates powerful moments of connection between brands and consumers to build businesses. With 600+ employees, the company uses a creative science approach to deliver innovative ad experiences across CTV, eCommerce, social, and mobile.
Partner with PMs to translate business opportunities into scalable data and AI solutions.
Deliver reliable data products that support experimentation and decision-making across the company.
Build and scale batch and real-time pipelines for high-quality data processing.
Change.org is the world’s largest platform for democracy, enabling millions of people to create change. With over 100 million users annually, the company is investing heavily in AI to build powerful tools and is expanding its talented team at the intersection of technology and social impact.
Work directly on petabyte-scale storage infrastructure, and the networking and performance challenges that come with it.
Collaborate daily with researchers and engineers who are some of the best in the world at what they do.
Build and maintain the high-performance data layer that Modeling teams rely on for training and evaluation jobs.
Cohere is a security-first enterprise AI company that builds cutting-edge foundation AI models and end-to-end products. They are a global team of researchers, engineers, and designers passionate about their craft, with offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin, and Seoul.
Maintain and monitor Kafka, Hadoop, Presto, and RDBMS systems.
Ingest, validate, and process internal and third-party data flows.
Build Kafka consumers using Spark Streaming for near-real-time aggregation.
PulsePoint sits at the intersection of healthcare and adtech, helping brands interpret health journey signals. We are 300+ employees, growing, and a leading player in the US healthcare ad market.
Design and develop automated ETL/ELT pipelines to ingest data into Google Cloud Platform.
Implement Medallion Architecture patterns and maintain governed views in BigQuery.
Balance new solution development with production incident resolution and support.
Our partner is a company seeking a senior data professional to design, build, and operate scalable data solutions in a large-scale corporate environment. They collaborate across multiple business areas and combine development with operational support.
Design, build, and maintain scalable data pipelines and platform capabilities to power analytics, AI/ML, and healthcare products.
Implement data quality, governance, and security controls, ensuring healthcare data is handled securely and in compliance.
Provide technical leadership, mentor engineers, and collaborate across teams to translate requirements into scalable data solutions.
Experity is a mission-driven team transforming on-demand healthcare across the U.S., empowering urgent care clinics with industry-leading software. They foster a culture of care, growth, and celebration with day-one benefits, career development, and a supportive team environment.
Build and operate change-data-capture pipelines from PostgreSQL into Azure using Kafka Connect and Debezium.
Configure, deploy, and scale connectors end-to-end, covering connector setup, task management, offsets, schema history, and snapshot strategy.
Monitor and troubleshoot the platform in production, handling connector failures, task rebalances, and throughput issues.
Software Mind develops solutions that make an impact for companies around the globe. Our culture embraces openness, acts with respect, shows grit & guts and combines employment with enjoyment.
Lead design, implementation, and optimization of complex enterprise data engineering solutions for scalable, secure data platforms.
Develop advanced data pipelines, integration frameworks, quality processes, and monitoring capabilities across enterprise systems.
Provide technical leadership, mentor engineers, and drive continuous improvement in performance, automation, and operational excellence.
The University of Kansas Health System is a world-class healthcare provider in Kansas City, part of a premier academic medical center. It is driven by commitment to service, continuous improvement, and excellence, with a collaborative culture among physicians, nurses, researchers, and professionals.
Design and implement data integrations with SIEM platforms such as Sentinel and Splunk.
Model complex data sources into performant analytics.
Collaborate with product engineering teams to deliver data solutions that enhance customer-facing products.
Dragos is the global leader in xOT cybersecurity, combining technology, threat intelligence, and expert services. The company is a remote-first mission-driven team across North America, Europe, the Middle East, and APAC built on authenticity, transparency, and trust.
Lead the development of the data platform supporting clinical operations, payer reporting, and analytics.
Build and orchestrate ingestion pipelines using Mage, Python, and GCP infrastructure as code.
Ensure security and compliance with PHI, HIPAA, and SOC 2 while collaborating cross-functionally.
Protera Health is a musculoskeletal (MSK) specialty care company that partners with health plans, health systems, and employers to deliver coordinated, measurable MSK care. It is a growing multidisciplinary clinical organization with a technology platform, offering a fully remote, mission-driven culture.
Design and build reliable data pipelines using Spark, Kafka, Iceberg, and Airflow across batch, streaming, and real-time workloads.
Contribute to the evolution of the data lake and platform, including ingestion, processing, storage, and serving patterns.
Define and improve data quality, observability, reliability, and governance standards across data systems.
Webflow is an agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences. The company is a growing, privately held organization that values grit, speed, and craft.
Lead a team within the Trading Platform organization, responsible for order flow, market data, and real-time systems.
Ensure reliability, quality, and delivery of the team's systems through operational excellence and people leadership.
Collaborate with product, senior engineers, and operations to drive technical investment and roadmap priorities.
Topstep builds a trading platform for funded traders, enabling them to trade with real funds. The company fosters a collaborative culture with fully remote to hybrid work options, and offers competitive benefits.