Lead and mentor a growing team of data engineers, own hiring and onboarding, and set engineering standards.
Design, build, and maintain scalable data pipelines using GCP, Python, BigQuery, dbt, Airflow, and more.
Drive AI adoption across engineering workflows, ensuring data is AI-ready and quality standards are met.
Applied builds cloud software and AI-powered solutions that are reinventing how the global insurance industry operates. With over 40 years of experience, the company fosters a people-first culture built on trust, inclusion, and growth.
Lead, mentor, and scale a global data engineering team while driving architecture, engineering standards, and delivery.
Design and build scalable data pipelines and models using GCP, BigQuery, Python, SQL, dbt, and Airflow.
Champion AI adoption across engineering workflows and partner with stakeholders to deliver data-driven solutions.
The company is building a modern data engineering foundation to power analytics and AI readiness on cloud data platforms. It fosters a people-focused, collaborative culture emphasizing trust, inclusion, and professional growth.
Own and evolve the analytics platform, including data models, pipelines, and governance to support internal and customer-facing analytics.
Collaborate with cross-functional stakeholders to build dimensional models, semantic layer metrics, and AI-assisted insight tools.
Mentor other engineers and drive data quality and governance processes across the team.
Afresh is an AI platform for grocery that uses proprietary AI to reduce food waste and optimize grocery operations. The company has scaled to 6 enterprise-grade solutions, works with major grocers like Albertsons and Meijer, and experienced 70% revenue growth in 2025, fostering a culture of proactivity, kindness, candor, and humility.
Lead the vision, roadmap, and operating model for enterprise data warehouse engineering.
Drive modernization of data platforms, including data modeling, orchestration, testing, and automation.
Build strong engineering culture, mentor leaders, and partner with senior stakeholders across the company.
Mercury Insurance is an auto and property insurance provider. It is a large enterprise with a culture focused on technology innovation and data-driven decision making.
Lead build of cross-functional data products and analytics experiences that enable data-driven decisions across the business.
Standardize how data products are built with golden paths and a common operating model for every domain.
Drive an AI-native engineering culture to achieve 3-5x productivity gains and raise data product quality.
Natera is a global leader in cell-free DNA testing for oncology, women’s health, and organ health. The team consists of highly dedicated professionals from world-class institutions, working in a collaborative culture that values growth and inclusion.
Design, build, and improve a scalable data platform to provide data solutions for product teams.
Develop and manage automated data pipelines using cloud-based and on-premise technologies.
Ensure data quality, lineage, and observability across the stack while collaborating with product and business teams.
lemlist is a bootstrapped sales engagement platform that grew from $0 to $57M ARR in 8 years. It is a profitable B2B SaaS company trusted by 40,000+ sales teams worldwide.
Lead the Data Platform & Infrastructure team to build scalable data systems that power insights across the ecosystem.
Oversee technical direction, organizational strategy, and cross-functional partnerships with data, product, and finance.
Drive execution of data infrastructure strategy including ingestion, processing, storage, and orchestration.
We are an AI-powered business operating system that provides infrastructure for agencies, entrepreneurs, and SMBs to build, automate, and scale. With over 2,000 team members across 10+ countries, we operate as a global, remote-first organization built for speed and ownership.
Own and scale the end-to-end ingestion to catalog to derived pipeline powering InfraSpec datasets across all core domains.
Lead the migration from legacy scripts to a durable platform, including architecting the greenfield graph layer for RouteFinder.
Enforce data contracts, quality gates, and observability to keep pipeline rework under 20%.
Inflect is building a marketplace that transforms how companies buy and sell digital infrastructure—datacenter, cloud, and network services. As a fast-growing startup, we work quickly and collaboratively; full-time employees receive option grants and share ownership.
Build and extend scalable data pipelines to move analytics off production PostgreSQL into a modern warehouse.
Develop shared dbt models, metrics, and semantic layers that keep definitions consistent across products.
Safeguard data quality with tests, freshness checks, alerts, and traceable lineage from source to drone imagery.
Gather AI builds a vision-powered platform using autonomous drones to digitize warehouse workflows and improve supply chain performance. We're a fast-moving robotics startup with a collaborative, remote-first culture and a focus on shipping transformative technology.
Manage and guide engineering teams, building end-to-end data pipelines using Fivetran, dbt, Snowflake, and Databricks.
Partner with Finance, Sales, and Operations to unify reporting models for pipeline health, ARR, churn, and LTV.
Enforce data governance and modeling standards, while serving as a trusted advisor to C-suite leaders.
JumpCloud is the AI-powered unified IT management platform that secures the modern workforce by consolidating identity, device, and access management. It is a remote-first company with teams in over 15 countries, fostering a collaborative and inclusive culture.
Build and run the data platform, including Snowflake administration, access governance, and ingestion orchestration.
Set technical direction for the medallion architecture, dbt project standards, and reliability practices.
Mentor engineers and analysts, establishing the technical bar for data engineering at Eve.
Eve is redefining legal technology for plaintiff law firms, providing AI-powered solutions that handle cases from intake to resolution. Trusted by over 1000 law firms and backed by $160M from top investors, the company is growing rapidly with a world-class team.
Design, build, and maintain the core data foundation including ingestion, modeling, and data marts to support agency, client, and AI consumers.
Handle fragmented marketing data across ad platforms and client-specific stacks with high reliability and reconciliation.
Collaborate cross-functionally to translate requirements into data solutions and use AI-agentic workflows to accelerate development.
Power Digital is an AI-Native Growth Firm built at the intersection of world-class talent and proprietary technology. We are a people-first firm with a culture built on curiosity, ambition, accountability, and commitment to delivering meaningful results.
Lead data platform org: database engineering, data capture, curation, production experience, and governance.
Define strategy and roadmap for data infrastructure, modernizing architecture and reducing technical debt.
Build scalable platforms and tooling for independent, reliable data pipelines.
Our partner is a data-driven organization focused on building reliable data infrastructure and enabling engineering teams to operate independently. They foster a remote, digital-first culture with a data platform team of ~50 people.
Build, maintain, and optimize data pipelines ingesting data from multiple source systems into Snowflake.
Develop scalable data models using dbt and support reporting, BI, analytics, and downstream applications.
Partner with business teams to translate data needs into practical solutions and ensure data reliability.
Moultrie is a customer-driven company that builds products and experiences to make a meaningful difference for customers. It values innovation, collaboration, curiosity, and delivering results, with a growing Data & Analytics team.
Lead the strategy and architecture of Alto's data platform, ensuring high-quality data fuels analytics and machine learning.
Manage and grow a high-performing data engineering team, fostering technical excellence and cross-functional partnership.
Drive data governance, reliability, and innovation in a regulated healthcare environment.
Fuze Health is a digital healthcare company that connects patients with care providers and resources through technology. It combines industry leaders including LetsGetChecked, Truepill, and Alto Pharmacy to create a unified force in healthcare.
Own Fi's data platform and analytics roadmap, modeling device, membership, and operational data into pipelines and warehouse layers.
Lead a team of four analysts, coaching them and raising the bar on rigor and documentation.
Partner with Finance and Product on subscription economics, board reporting, and experiment reads.
Fi is a pet technology company developing smart collars to revolutionize the human-pet relationship. They are a Series B startup with a small, passionate team from Square, Google, and other top companies focused on improving pet health and communication.
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.
Architect and build scalable data pipelines for batch, event-driven, and streaming data movement across hybrid environments.
Own the Snowflake data platform, develop dbt pipelines, and build semantic layers for AI-ready self-service data.
Lead, mentor, and coach a small data engineering team plus decentralized analysts to raise standards.
Nimble Gravity helps leading financial institutions and other clients adopt AI in meaningful ways. The company has a collaborative, coaching culture and is an Equal Opportunity Employer that values teaching and helping people embrace new ways of working.
Lead and oversee complex data engineering projects, bridging technical gaps and navigating ambiguous conditions.
Collaborate across teams to align data engineering efforts and translate technical concepts for less technical colleagues.
Mentor data team members and ensure large engineering projects deliver business outcomes.
Velir is an established mid-sized digital agency serving clients from non-profits to Fortune 500 brands, and acquired Brooklyn Data Company, a data and analytics consultancy. The company is remote-first with a culture built on trust, collaboration, and continuous improvement, offering competitive pay and benefits.
Define and execute the long-term data engineering strategy, designing scalable ecosystems and driving engineering excellence.
Deliver major systems reliably, align with business goals, and manage data quality and governance.
Influence cross-functionally, mentor engineers, and champion organizational change through executive communication.
SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management sector with a next-generation drug acquisition platform. Since 2016, they have onboarded hundreds of thousands of members and foster a mission-driven, collaborative culture guided by integrity, courage, and togetherness.