Implement and maintain metadata management and data quality platforms in a cloud-native AWS ecosystem.
Automate metadata ingestion, data lineage, and data quality monitoring using Python and SQL.
Collaborate with Data Engineering, Data Governance, and AI teams to drive data standards adoption.
Software Mind develops solutions that make an impact for companies around the globe. They build cross-functional engineering teams and their culture embraces openness, respect, grit, and enjoyment.
Own the self-service data and storage layer for multimodal biological datasets.
Build platform services that enable self-serve data access and processing.
Engineer security into the data layer with access control and least-privilege.
Bioptimus is building the first universal AI foundation model for biology to accelerate breakthroughs in biomedicine. They are a fast-growing startup with over $75M in funding, headquartered in Paris, with a world-class team redefining AI and life sciences.
Design and maintain a self-service data platform for large-scale datasets.
Develop reusable platform services and internal tooling.
Implement secure-by-design infrastructure using Infrastructure-as-Code practices.
The partner company is a technology organization dedicated to cutting-edge AI and data-driven initiatives, building scalable data platforms. The company maintains a remote-first and highly collaborative international team focused on engineering excellence and innovation.
Build, expand, and optimize data infrastructure to create the most accurate dataset of identities and their relationships.
Develop and operate secure, scalable, and reliable data ingestion and ETL/ELT pipelines that meet product requirements.
Design and maintain a data observability framework to ensure data meets strict quality and freshness standards.
SentiLink provides innovative identity and risk solutions, empowering institutions and individuals to transact with confidence. The company is growing rapidly, has verified hundreds of millions of identities, and is backed by top investors like Craft Ventures and Andreessen Horowitz, with offices across the US and India.
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 operate scalable Data & AI platform capabilities for analytics, data science, and Generative AI use cases.
Develop reusable frameworks, services, and workflows to standardize how teams build and manage data pipelines and data products.
Partner with Analytics, Applied-AI, and Engineering teams to deliver platform capabilities that support business and clinical decision-making.
Omada Health is on a mission to bend the curve of chronic disease by providing a virtual-first care model that combines human-led care teams, connected devices, and AI-enabled technology. They have served over two million members and are a publicly traded company with a culture of trust, context, boldness, results, and teamwork.
Design, build, and maintain scalable data pipelines and systems using Python, PySpark, and AWS-native services.
Develop and optimize data platforms on AWS, leveraging technologies like Redshift, Glue, and Athena.
Mentor junior engineers and collaborate with cross-functional teams in an Agile environment.
Capital Technology Group provides expert consulting services in software development, digital transformation, and data analytics. Recognized as a Top Workplace by The Washington Post, they foster a culture where employees feel trusted and empowered.
You will develop and maintain end-to-end data pipelines and contribute to Samsara's Data Platform for advanced automation and analytics.
You will design, build, and optimize large-scale Spark and PySpark workflows for batch and streaming data processing.
You will build and maintain MCP servers and AI agents, and champion data engineering best practices across the team.
Samsara is the pioneer of the Connected Operations Cloud, enabling organizations to harness IoT data for actionable insights. As a recently public company, they foster a culture of autonomy, support, and rapid career development in a hyper-growth environment.
Build and operate ingestion pipelines across telematics provider integrations, handling streaming, polling, and batch with appropriate retry and rate-limiting.
Own the normalization layer: map inconsistent provider payload into canonical vehicle, driver, HOS, and fuel models, and defend that schema as new providers are added.
Design storage and query patterns for high-volume time-series vehicle data, balancing real-time API latency with analytical workloads.
We are Catena, the universal API for fleet telematics data, giving insurers, factors, and freight-tech platforms a single integration to access carrier vehicle data across every major ELD and telematics provider. We're an early-stage startup with $8.25M in funding and a small, hands-on team where you'll have high ownership and direct impact.
Build and scale reliable data infrastructure powering analytics, AI-driven decision-making, and smarter growth across n8n.
Own critical parts of the modern data stack, including end-to-end data pipelines using dbt on BigQuery and orchestration with Dagster.
Enable analytics, AI use cases, and marketing attribution by delivering trusted datasets and scalable data products.
n8n is an open workflow orchestration platform built for the new era of AI, giving technical teams the freedom of code with the speed of no-code. The company has grown to a team of over 260 across Europe and the US, backed by top investors, with a culture of builder spirit and remote-first collaboration.
Architect, design, build, deploy, and maintain Model Serving infrastructure using industry-standard AI tools.
Own projects that scale model serving and data processing services to handle 10x traffic.
Collaborate closely with MLE and Data Science teams to distill feedback and execute on strategy.
Abnormal AI protects the humans behind the world's most critical organizations from AI-powered cybercrime. Over 4,500 enterprises trust their behavioral AI platform, fostering a culture of innovation and security.
Design and build batch data pipelines that ingest, validate, and transform multi-billion-row datasets.
Model complex real-world data including dimensional models and temporal data.
Develop and operate workloads on lakehouse platforms like Databricks, Spark, and Delta.
Simulmedia builds an advanced TV and streaming advertising platform. They have a team of engineers, data scientists, and designers who are obsessed with building cutting-edge technology.
Own the design, delivery, and operation of major data products including ETL pipelines and storage solutions.
Partner with engineering, product, and business stakeholders to define solutions and drive projects from design to production.
Mentor engineers, lead technical strategy, and participate in on-call rotation for production systems.
Lime is the largest global shared micromobility company, on a mission to make transportation shared, affordable, and carbon-free. It has powered over one billion rides across 30 countries and is a Time 100 Most Influential Company.
Design and build scalable batch data pipelines using AWS Glue, Lambda, and Step Functions.
Optimize analytical data models and query layers with Amazon Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and event-driven architectures.
The company is a technology organization focused on building scalable data platforms and analytics solutions. They operate with a distributed international team and emphasize modern engineering practices.
Lead the modernization of the data platform by migrating legacy Hadoop, Spark, and Impala pipelines to a scalable Databricks architecture.
Accelerate migration efforts using AI coding assistants like Claude and Codex to convert SQL and modernize ETL workflows.
Design and optimize scalable data pipelines with Airflow and Databricks, ensuring reliability, cost-efficiency, and data quality.
LivePerson is a leader in enterprise conversational AI and digital transformation, powering nearly a billion conversational interactions monthly. Fast Company named them the #1 Most Innovative AI Company, and they foster a remote-first, innovative culture.
Own production data pipelines end-to-end, ensuring reliability, performance, and scalability. - Build and optimize data solutions using PySpark and Foundry tools to process massive datasets. - Champion data quality by designing monitoring and validation frameworks to guarantee trusted data.
We are an IT solutions company providing innovative information and communication technology services. We have grown to over 3,900 employees and are the second largest employer in eastern Slovakia, with a culture focused on continuous improvement and transformation.
Translate SPI and system-level requirements into technical designs and production implementations.
Build and maintain Python-based services and AWS data pipelines supporting metrics and validation workflows.
Work closely with requirements, systems, and validation teams to ensure accurate implementation of safety and performance metrics.
Torc develops Level 4 autonomous semi-truck software to transform how freight moves across the world. They are a focused team dedicated to building safe, scalable autonomy for the trucking industry.
Design and operate the infrastructure for a high-throughput messaging platform operating at 500K+ events/sec.
Build guardrails, runbooks, and validation gates that enable AI agents to safely execute deployments and operations.
Lead incident response and encode every fix as a new runbook and regression test.
Postscript is an AI messaging platform trusted by 20,000+ Shopify brands to drive revenue through SMS. The company is fully remote, backed by Greylock and Y Combinator, and has a culture of ownership and innovation.
Design and implement scalable data ingestion and integration pipelines for structured and unstructured data, ensuring AI-ready and governed data.
Build and scale retrieval infrastructure including vector storage, embedding pipelines, and hybrid search.
Lead pragmatic platform evolution by defining clear contracts between AI services and data systems, improving developer experience.
Caseware is a Canadian Fintech company that has led the global audit and accounting software industry for over 30 years, with over 500,000 users across 130 countries. They foster a culture of inclusion and innovation, with a commitment to 'Many Voices, One Team'.
Design, build, and evolve the core data platform infrastructure including distributed query engines, orchestration, and warehousing.
Own the lakehouse infrastructure as code, managing deployments through Terraform and Ansible on Kubernetes.
Build and maintain low-latency streaming and CDC ingestion pipelines, as well as batch ingestion paths landing in Iceberg.
Alpaca is a US-headquartered global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, and more. The company has a global team of 400+ members, is backed by $400M in funding, and fosters a culture of curiosity, empathy, and accountability.