Build and maintain secure connectors across data platforms like Google Drive, Slack, and Claude.
Partner with scientists to integrate lab data collection tools into a unified, queryable platform.
Design pipelines for messy real-world data and own end-to-end infrastructure, from schema to monitoring.
Ohr creates molecules from atoms up using biocatalysis and primordial chemistry, powering rockets and securing industries with cleaner, scalable systems. As an early-stage company with a small, urgent team, it cultivates a culture of vision, hustle, and collaboration.
Own multi-terabyte-per-day log pipelines across AWS and GCP, including ingest, enrichment, schema management, and cost control.
Model security data and tune query performance in Snowflake, BigQuery, and Redshift for detection engineering.
Build automation, AI agents, and infrastructure as code to support cyber defense and incident response.
DoorDash is a technology and logistics company that connects consumers, merchants, and Dashers through its delivery network. It is a large, rapidly growing company with a culture of empowerment and inclusion, committed to supporting employee well-being.
Design, build, and maintain scalable security data ingestion pipelines for SIEM and cloud platforms like Azure Data Explorer.
Partner with application, infrastructure, and security teams to onboard and validate diverse log sources.
Ensure data integrity, timeliness, and quality for threat detection, incident response, and compliance.
The partner company operates in financial services and cybersecurity, focusing on building scalable security data infrastructure. It offers a global, collaborative working environment with opportunities to solve complex technical challenges.
Develop and maintain data pipelines, transformation logic, and data quality processes within Microsoft Fabric.
Implement Bronze, Silver, and Gold medallion architecture layers for assigned data domains.
Support Ed-Fi REST API integrations and Aspen-to-Ed-Fi mappings for education data workstreams.
Rackner is a software consultancy that builds mission-critical systems for the U.S. government, focusing on cloud, DevSecOps, AI/ML, and modern software engineering. The company supports federal agencies and national security missions, with a culture of collaboration, growth, and technical excellence.
Design, build, and maintain cybersecurity data pipelines using Cribl, managing data flows from source systems into SIEM and data lake platforms.
Develop and integrate connectors for security data ingestion, configure parsing, routing, and transformation, and support SIEM architecture and operations.
Troubleshoot complex pipeline issues, create documentation, and collaborate with cross-functional teams to ensure data accuracy, security, and performance.
Cribl is a cybersecurity and data engineering company that helps organizations manage and optimize security data pipelines for SIEM and data lake environments. As a growing company with a small team, they emphasize independent problem-solving, collaboration, and a culture that values technical excellence and clear communication.
Design, build, and maintain static and dynamic file analysis pipelines processing artifacts at scale.
Operate and extend threat indicator enrichment systems for real-time file metadata extraction.
Build and maintain threat graph intelligence systems modeling relationships between indicators and actors.
Censys provides real-time Internet intelligence and threat insights to global governments and over 50% of the Fortune 500. They are a growing, research-driven company focused on building comprehensive maps of the internet with a collaborative culture.
Build and maintain integrations against third-party billing APIs to expand vendor spend coverage.
Own data correctness, normalization, and end-to-end pipeline orchestration.
Work AI-augmented across the workflow, from prototyping to debugging and documentation.
DoiT is a global technology company that helps cloud-driven organizations leverage the cloud for growth and innovation. They are home to a global team of remote talent, with a culture that embraces entrepreneurship, learning, and fun.
Own the design, development, and iteration of complex data systems from raw ingestion through transformation and modeling.
Perform exploratory and hypothesis-driven analysis to surface insights guiding client and internal decision-making.
Partner with stakeholders to define success criteria and deliver data products that drive extraordinary outcomes.
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses and their patients. We are a mission-driven startup rapidly growing our market share by delivering software people love.
Execute day-to-day implementation, monitoring, and optimization of cybersecurity systems and data pipelines.
Support log onboarding, normalization, and validation, as well as detection engineering and SIEM platform operations.
Assist in client engagements, security architecture reviews, and automation of response workflows.
GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. The company has over 1,300 employees and maintains a culture of collaboration and mentorship.
Design and implement scalable data-ingestion pipelines using AWS services and Azure DevOps.
Develop data mapping and transformation workflows for loading into SQL Server client databases.
Collaborate with analytics teams to ensure data availability and quality for reporting and ML use cases.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate risk, insurance, compliance, and safety management. Founded by industry veterans, the company is committed to client success and has a diverse, inclusive culture.
Develop and maintain application components like intake forms and dashboards, plus relational data structures for workflow routing.
Build data pipelines, write SQL, and support REST API integrations for data exchange.
Create reporting views and dashboards for client stakeholders, and support Agile delivery.
Trilogy Federal drives innovative solutions for complex business challenges across financial management, healthcare, and government industries. Our collaborative, client-first service approach has earned us a reputation for delivering transformative results.
Design and implement data collection tools and pipelines using Python, SQL, or Azure Data Factory.
Analyze data patterns with advanced algorithms to deliver actionable insights and visualizations.
Present analytical outcomes to stakeholders and support predictive modeling for healthcare transformation.
Blue Water Thinking is a consulting firm supporting Federal clients with technology and business transformation. Founded by a decorated Army Veteran, the company emphasizes integrity, collaboration, and customer service.
Architect and implement production-grade integrations and distributed data systems for enterprise customers using Python, SQL, and modern API development.
Transform legacy ETL/ELT workflows into modern, autonomous data pipelines across AWS, Azure, or GCP and Kubernetes.
Integrate AI APIs like OpenAI and Anthropic, and deliver solutions from kickoff to production within an 8-12 week Accelerator window.
Matillion is the company behind Maia, an AI Data Automation platform used by Cisco, DocuSign, and Slack. They started in Manchester and now have global teams across the UK, US, and India, with a driven, curious, and energetic culture.
Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
Mentor junior engineers and raise team-wide engineering standards
Optimize and monitor production workflows using tools like Airflow, dbt, and AWS
Cohere Health's clinical intelligence platform connects health plans and providers to optimize care. We are a growing company backed by leading investors, with a culture of empathy and collaboration.
Build production data pipelines, LLM applications, agents, and workflow automations that meet spec and hold up under real load.
Own implementation decisions within your scope and be accountable for the quality, testing, and reliability of what you ship.
Engage directly with client engineers and stakeholders with support from senior team members, and build your range by picking up new tools as engagements require.
Climb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. The team brings deep technical expertise and a builder's mindset, measuring success by business impact rather than outputs.
Design and build dedicated normalizers per EDR vendor with rigorous testing for API evolution.
Develop core product features in ETL and GraphQL to support data processing and retrieval.
Build and maintain backend APIs and ETL pipelines for data interactions and analytics.
Horizon3 is a fast-growing cybersecurity company that provides the NodeZero platform for autonomous pentesting and attack vector verification. The company is a fusion of former U.S. Special Operations cyber operators and startup engineers, committed to a culture of respect, collaboration, ownership, and results.
Design, build, and operate event-driven services for real-time pentest data processing.
Solve distributed systems challenges at scale, including data migration and batch-to-streaming conversion.
Set high standards for operational excellence with SLOs, instrumentation, and on-call.
Horizon3 is a remote cybersecurity company that enables organizations to find, fix, and verify exploitable attack vectors using its NodeZero autonomous pentesting platform. The company is a fusion of former US Special Operations cyber operators and engineers, fostering a culture of respect, collaboration, and ownership.
Design and build scalable data pipelines and models for analytics and enterprise reporting.
Implement data validation and QA standards to ensure accuracy and reliability.
Collaborate with teams to translate reporting needs into well-modeled datasets.
Kin is an insurtech company that simplifies homeowners insurance, offering clear and affordable coverage especially in climate-risk areas. Founded in 2016, it is a remote-first employer with over 35 states represented and is recognized for its strong culture and growth.
Build and maintain high-volume ingestion and ETL pipelines in Python that process telemetry from mobile endpoints.
Implement detection logic from research prototypes and design parsers for complex mobile forensic artefacts.
Ensure data platform scalability and reliability, establishing monitoring, alerting, and data quality checks.
iVerify is the first mobile threat hunting company that protects mobile devices like any other vulnerable corporate endpoint. They are a venture-backed company committed to building a diverse, equitable, and inclusive workplace.
Design, build, and maintain data pipelines using Airflow and Trino to ingest and process data from multiple systems.
Improve observability by implementing monitoring, validation, and alerting to ensure data accuracy and consistency.
Collaborate with cross-functional teams to define data requirements and deliver effective solutions.
SweedPos builds an all-in-one cannabis retail platform combining POS, eCommerce, Marketing, Analytics, and Inventory Management. With over 200 employees, they operate as a remote-first, product-driven startup focused on simplicity and innovation.