Own performance investigations across the product and data stack, from slow queries to production improvements.
Design and evaluate data architecture changes to improve product performance.
Partner with Product, frontend, and backend engineers to optimize product behavior using techniques like batching, caching, and pagination.
Turquoise Health is a Series C price transparency platform for finance leaders across healthcare, backed by top venture capital firms. We are a remote-first, US-based team of 300+ enterprise organizations, valuing transparency, empathy, inclusivity, creativity, and ownership.
Assess the existing data platform to identify performance, scalability, modeling, and data quality issues.
Design practical short-term improvements and define the longer-term target data architecture.
Redesign data models, architect batch and incremental data processing, and produce detailed technical documentation.
IT Labs is an international software tech company specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Founded in 2005 with HQ in Palm Beach Gardens, Florida, it has teams around the world and values integrity, excellence, proactivity, innovation, and people.
Design, build, and scale data pipelines and infrastructure in ClickHouse, Postgres, Python, and dbt.
Run the pipelines behind 500M+ labeled addresses, moving terabytes of streaming and batch data every day.
Own data quality, reliability, and observability end-to-end.
Nansen is an onchain analytics platform that provides insights to traders and funds. The company labels and tracks 500M+ blockchain addresses, fostering a culture of speed, ownership, and curiosity.
Architect enterprise-scale Databricks data platforms with guardrails, automation, and standards to enable safe self-service by business teams.
Design high-volume batch and real-time streaming pipelines using PySpark and Structured Streaming, integrating Unity Catalog with third-party metadata.
Communicate architectural decisions to technical and business stakeholders, produce documentation, and partner with client teams to translate use-case needs into platform capabilities.
Caylent is an AI-first cloud services company that helps organizations turn ambitious ideas into meaningful business impact using AWS, AI, and Anthropic's Claude platform. They are a fully remote global company with employees across Canada, the US, and Latin America, fostering a culture of technological curiosity and inclusion.
Own architecture and delivery for modern data platforms end-to-end.
Shape client data strategy and design scalable solutions.
Mentor internal team members and ensure high-quality delivery.
8th Light is a technology solutions consultancy that partners with organizations from early-stage startups to the world's largest companies. Founded in 2006, we foster an open, collaborative culture grounded in honesty and continuous education.
Lead the architecture and evolution of our data platform, shaping how data is ingested, modelled, governed, and consumed across the business.
Set technical direction for the data engineering team, establishing standards for quality, reliability, and production readiness.
Build data infrastructure on AWS using Terraform, ensuring consistency and reproducibility across environments.
Safeguard Global helps 1,500+ customers hire, manage, and pay employees in nearly 190 countries. With offices worldwide and a workforce in 50+ countries, we emphasize a human-centered culture that values autonomy and flexibility.
Own the entire data stack end to end, ensuring pipelines, dbt models, and dashboards are reliable and scalable.
Define and govern core company metrics, turning ambiguous business goals into precise, trusted definitions.
Lead and grow a high-performing data team, partnering with engineering and business leaders to drive data-driven decisions.
AIOS is building the world's first full-stack AI doctor, serving 150k patients per month via Bolt Pharmacy. At $350M ARR and growing rapidly, we are a profitable, founder-led company with a young, ambitious culture.
Define scalable architectures for enterprise data platforms across ingestion, storage, processing, governance, and consumption.
Establish technical standards for data modeling, security, reliability, and lifecycle management.
Mentor engineers and guide architectural direction while partnering with cross-functional teams.
The company is a technology organization focused on building enterprise data platforms. It fosters a culture of innovation and collaboration, with a focus on technical excellence.
Partner directly with customers to identify data challenges and design technical solutions, connecting data sources and automating workflows.
Deploy and optimize AI-powered tools and workflows for customers, educating them on prompt engineering and LLM best practices.
Build and extend internal tooling (importers, parsers, and reporting pipelines) to reduce manual burden and improve platform reliability.
Standard Metrics is an AI-driven financial data platform that helps investors and portfolio companies make informed decisions with automated reporting and benchmarking tools. We are a team of optimistic product builders backed by 8VC and Spark Capital, trusted by top VC/PE firms.
You will own meaningful projects end to end, from concept to rollout, including design, delivery, operations, and customer follow-up.
You will design, build, and operate core components of a distributed database, making trade-offs on performance, cost, and complexity.
You will drive operational excellence, partner across Grafana, contribute to open source, and participate in on-call rotation.
Grafana Labs is the company behind the open observability cloud, providing a fully managed platform that helps organizations see, understand, and act on their data using AI. With over 35 million users and 7,000+ customers, we are a 100% remote company with 1,600+ team members across 40+ countries, backed by leading investors and known for our open-source legacy and global collaborative culture.
Guide strategic enterprise customers through cloud data engineering transformations, including performance testing and production-ready pipeline architecture.
Prove platform value by architecting solutions for big data, data warehousing, and lakehouse use cases.
Support technical sales through custom proofs of concept, workload sizing, and community workshops.
Databricks is the Data and AI company, providing a unified platform for data, analytics, and AI to over 20,000 organizations worldwide, including 70% of the Fortune 500. Headquartered in San Francisco with 30+ offices globally, it fosters a diverse and inclusive culture and offers comprehensive benefits.
Partner with the Commercial team to understand customer needs and design data solutions.
Manage end-to-end data product releases, ensuring accurate and timely delivery.
Develop and deploy strategic product improvements to maximize data quality and business impact.
Antenna is the leading provider of data and analytics for subscription media services in the U.S. It is a small remote-first team with top investors in media and technology.
Lead the strategy, architecture, and execution of a scalable data ecosystem for business intelligence and AI.
Manage and grow a team of data platform engineers, fostering a culture of technical excellence.
Partner with product and analytics teams to deliver data-driven customer experiences and insights.
Jobgether is a platform that uses AI-powered matching to connect job seekers with hiring companies. They operate a remote-first environment and focus on providing a streamlined application process.
Serve as a senior technical leader defining architecture, engineering standards, and best practices for the enterprise data platform.
Drive platform modernization by partnering with engineering leadership to build scalable, reliable, and well-governed data systems.
Lead technical design processes, conduct design reviews, and mentor engineers on best practices and technical leadership.
Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities to life. The WDTech team is a group of collaborative and highly skilled technology professionals committed to innovation and disrupting the old-fashioned real estate industry.
Own the end-to-end architecture of a federated, multi-institution medallion lakehouse on Azure Databricks and Microsoft Fabric.
Define the federated, multi-tenant design that separates centrally governed shared layer from institution-administered catalogs.
Provide hands-on design authority and technical guidance to data engineers, BI developers, and governance staff.
CampusWorks redefines how higher education institutions use technology and managed services to drive transformation and student success. Founded in 1999, it is a large consulting firm that offers a virtual and onsite workplace, with team members across the U.S. and Canada.
Lead support of client’s Azure Data platform and Power BI environment, including escalations and incident resolution.
Consult and advise on solutions using Synapse, Data Factory, Databricks, Azure ML, and Power BI for data engineering and analytics.
Mentor junior team members and design data pipelines, models, and AI-driven solutions for clients across industries.
3Cloud is a cloud services company specializing in Microsoft Azure data and analytics solutions. They foster a culture of experimentation, direct feedback, and collective growth, with a focus on client success and teamwork.
Own and evolve notebooks across the full medallion architecture, from raw ingestion through a fully modeled dimensional layer.
Design and implement dimensional modeling artifacts such as facts, dimensions, and slowly changing dimensions for downstream business intelligence.
Serve as the primary technical reference, reviewing pull requests, mentoring team members, and proposing architectural improvements.
CI&T helps large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience and 8,000 employees across 25 countries, we foster a collaborative culture that accelerates innovation in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy.
Own the design and scaling of the database (Postgres/Supabase) that powers our matching, outreach, and agents.
Ensure data quality through validation, dedup, entity resolution, and monitoring.
Build ingestion and enrichment pipelines for funding rounds, market news, and company research.
We are a platform where founders come to raise capital, pairing them with investors from a global network and running warm outreach. We are a profitable, self-funded company with a small, senior, flat team that ships fast.
Run, upgrade, and evolve a multi-AZ ClickHouse estate on Kubernetes with rehearsed backup and recovery.
Design tables, sorting keys, materialised views, and optimize queries against multi-terabyte datasets.
Implement capacity models, storage tiering, and Grafana monitoring to keep the plant healthy.
Reactive Markets is a 2026 OTC Trading Platform of the Year handling over $50 billion in daily volumes across FX, Equities, and Crypto. Their engineering team is small, senior, and deeply invested in building reliable, high-performance systems.