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.
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.
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.
Develop core product features in ETL (Extract, Transform, Load) and GraphQL to support data processing and retrieval.
Design and implement backend APIs in GraphQL to facilitate data interactions between different components of the product.
Build and maintain ETL pipelines for efficient data processing and analytics.
Horizon3 is a fast-growing, remote cybersecurity company dedicated to the mission of enabling organizations to proactively find, fix and verify exploitable attack vectors before criminals exploit them. We are a team of learn it alls, committed to a culture of respect, collaboration, ownership, and results.
Drive backend development for AI workflows using Python and FastAPI as part of a collaborative team.
Productionize LLM integrations with systems for Bedrock usage, quotas, retries, and cost controls.
Build for scale by optimizing async job orchestration, performance, and data-layer for petabyte-scale enterprise data.
Smarsh empowers organizations to manage risk and uncover intelligence in digital communications. With over 6500 clients in regulated industries and consistent recognition from Gartner and Forrester, Smarsh has been listed on the Inc. 5000 as one of America's fastest-growing companies since 2008.
Contribute to the design, development, and operation of core components of Abnormal’s data platform.
Build tools and services that make it easy for other teams to adopt and scale data systems.
Help automate infrastructure and operations to improve reliability, performance, and scalability.
Abnormal protects the humans behind the world's most critical organizations from AI-powered cybercrime. 4,500+ enterprises trust our behavioral AI platform.
Develop resilient, high-scale, low-latency distributed microservices running on hundreds of cloud nodes.
Solve complex scaling challenges for ML inference on vast geospatial data.
Collaborate with ML and GIS engineers to maintain cutting-edge GIS software products.
Blackshark.ai provides a scalable AI platform for geospatial insights, enabling custom model training on global features with real-time accuracy. Founded in 2020, they have secured $35 million in series A funding from top US and European investors and work with customers in intelligence, government, and enterprise sectors.
Design, build, and maintain scalable data pipelines using Python and AWS DynamoDB.
Develop and optimize DynamoDB data models and indexing strategies for high throughput.
Establish data validation, monitoring, and alerting mechanisms to ensure pipeline reliability.
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. With a team that thrives in a culture of collaboration and creativity, the company offers competitive compensation and professional development opportunities.
Design, build, and operate end-to-end ETL/ELT pipelines turning raw data into production-grade APIs, dashboards, and alerts.
Apply NLP and LLM-assisted processing over unstructured text for entity extraction, classification, and enrichment.
Partner with R&D, engineers, data scientists, and investigations to translate intelligence requirements into scalable client-facing products.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. It operates as a fast-paced, nimble, global, and remote technology company with an asynchronous-first workflow and a culture of open debate and logic over authority.
Design and build batch-oriented data pipelines and ETL workflows using AWS Glue, Lambda, and Step Functions.
Develop and optimize ingestion pipelines and analytical data models with Athena, Redshift, and ClickHouse.
Collaborate with backend engineers to integrate data workflows with microservices and ensure data quality and observability.
SavvyMoney is a US-based financial technology company providing integrated credit score and personal finance solutions to over 1,600 bank and credit union partners. It was recognized as a top workplace and Inc. 5000 fastest growing company, with a distributed team across the US, Canada, Europe, and India.
Develop and refine strategies for acquiring research data from scientific laboratory instruments.
Engineer and operationalize custom file parsers to handle diverse instrument output formats.
Architect and implement robust data models, scalable data pipelines, and comprehensive tests.
3Pillar Global is an AI transformation partner that helps enterprises build AI-native products and intelligent agents. With teams across North America, Europe, Latin America, and Asia, they work with ambitious companies in financial services, healthcare, media, and technology, fostering a remote-first, globally collaborative culture.
Develop and maintain software components, data processing workflows, and platform services for digital health studies.
Collaborate with Science, Data Science, and Engineering teams to translate scientific innovations into scalable platform capabilities.
Design and implement integrations for new sensors, data sources, and analytical methods in AWS cloud-native environments.
VivoSense is a science and technology company specializing in digital health technologies, including wearable sensors and mobile applications. They partner with pharmaceutical sponsors and academic groups, operating as a small collaborative team.
Design, build, and maintain scalable data pipelines and services using Python and modern data engineering frameworks.
Architect and implement data solutions on cloud platforms (AWS, Azure, or GCP) and optimize database performance.
Serve as a technical leader, mentoring junior engineers and collaborating with cross-functional teams to deliver data-driven solutions.
Sagent powers servicers and consumers by transforming the mortgage servicing industry with modern technology. We're a growing joint venture combining Fiserv's fintech expertise with Warburg Pincus, hiring innovators to disrupt the lending space.
Design and implement scalable data architectures to meet business needs.
Develop and optimize data pipelines for ingesting and processing large volumes of data.
Provide technical leadership and mentorship to junior engineers.
Oportun is a mission-driven financial services company that provides affordable credit and financial tools. Since inception, it has provided over $21.3 billion in credit and saved members $2.5 billion, and fosters a diverse, inclusive culture.
Deliver on business-critical outcomes by owning backend and data services end-to-end, from design to production operation.
Design, build, and operate scalable data pipelines and streaming ingestion for high-volume security telemetry.
Contribute to data modeling and warehouse/lakehouse architecture decisions that serve detection, analytics, and product features.
Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts, the company is in hyper-growth mode, fueled by a recent $190m series C round.
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, build, and operate end-to-end data infrastructure and solutions for APIs, containerized applications, alerting/reporting, and graph visualizations.
Model and deploy relational, document, and graph databases for investigative workflows and large-scale network analysis.
Build resilient ETL/ELT pipelines that ingest, normalize, and reconcile structured and semi-structured data from multiple sources.
Inca Digital is a veteran-owned data and intelligence company specializing in digital-asset analytics for exchanges, financial institutions, regulators, and blockchain ecosystems. They operate as a fast-paced, nimble, global remote company with a culture of open debate and logic.
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.
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 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.