Design, build, and maintain core dbt models that represent the business.
Partner with stakeholders to create clear, consistent metric definitions.
Deliver high-impact analytics engineering projects that span multiple domains and teams.
Tem is rebuilding the energy transaction, making it transparent and fair. They've built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced and closed a $75 million Series B. They are scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide.
Architect and build the semantic layer powering AI-driven analytics.
Design, build, and refactor DBT models to maintain a trustworthy source of truth for enterprise KPIs.
Bring data to life with compelling presentations and reports that drive key decisions and actions.
Roofr is focused on providing their customers with the tools that they need. They have built a CRM that connects solutions such as payments, material ordering, and more into a platform.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.
Build and maintain dbt models to transform raw data into clean, tested, and well-documented datasets for dashboards and pipelines.
Partner with data scientists and engineers to translate ambiguous questions into durable data models, improving data quality through tests and documentation.
Use Python for orchestration and transformations, while raising standards in analytics engineering practices like code review and CI for data.
Civitech is a public benefit corporation dedicated to creating a fairer and more equitable democracy by building tools and infrastructure to increase civic participation and empower progressive causes. It is a remote-first company with a team operating across 27 US states, focused on collaborative and bold innovation in the political technology sector.
Architect and maintain analytics-ready datasets, LookML explores, and high-impact dashboards.
Partner directly with Member Engagement teams to turn strategic questions into rigorous analyses.
Think critically about data limitations, challenge baseline assumptions, and articulate insights alongside their necessary caveats to both technical and non-technical audiences.
Vida Health is a virtual, personalized obesity care provider that uses evidence-based treatment to help patients manage obesity and related conditions. They combine advanced technology with healthcare providers and are trusted by Fortune 100 companies, payers and providers.
Design and build dbt models for Finance & Accounting reporting and analysis.
Design the semantic layer and metrics definitions for both humans and AI agents.
Maintain documentation and auditability of data pipelines in a SOX-controlled CI/CD environment.
Life360's mission is to keep people close to the ones they love through their mobile app, Tile tracking devices, and Pet GPS tracker. They empower members to protect what they care about most with services like location sharing and safe driver reports. Life360 has more than 500 remote-first employees and is growing.
Implement curated data model layer in dbt across data domains.
Design and build dbt models across the layered architecture.
Develop and optimize incremental models to handle high-volume domains.
Blend is an AI services provider, committed to co-creating meaningful impact for its clients through data science, AI, technology, and people. They aim to fuel bold visions by seamlessly aligning human expertise with artificial intelligence, dedicated to unlocking value and fostering innovation.
Architect and evolve Affirm's lakehouse analytics platform, driving strategy around Snowflake, Apache Iceberg, and Spark.
Design and implement RBAC and dynamic data masking policies in Snowflake, ensuring data access is secure, compliant, and auditable.
Lead the technical direction of analytics engineering practices, including data modeling, transformation pipelines (dbt), and data quality frameworks.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They pride themselves on their culture across engineering of engaging in thorough technical design review, operational excellence, and capable incident response and analysis.
Design and build ETL processes in collaboration with software and model development teams.
Create and maintain scalable data infrastructure.
Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
OpenTeams builds AI that empowers, with models that are energy-efficient, cost-effective, and fully yours. They are proponents of open source, reinvesting 3% of profits back into the open-source community and value freedom, teamwork, accountability, and uncompromising quality.
Model and document new datasets (both structured and semi-structured) to exploit the value across all our business units.
Partner with subject matter experts to document, align and automate business metrics that define success
Work with Analysts to optimize their use of data, either through query reviews, modeling exercises, or dashboard audits
Outreach, founded in 2014, is the only complete agentic AI platform for revenue teams. They infuse agentic AI, conversation intelligence, and assistive AI to power hundreds of use cases across revenue motions. World leading enterprise organizations use Outreach to power their revenue teams.
Builds and modernizes data pipelines and integrations to improve processing efficiency.
Engineers data and analytics components and improves reliability/performance.
Supports testing, documentation, and O&M transition materials.
DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, the company supports public sector agencies and commercial enterprises around the globe.
Lead, coach, and develop a team of analytics engineers and/or data engineers.
Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions.
Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime.
SmarterDx builds clinical AI that is transforming how hospitals translate care into payment. Founded by physicians in 2020, their platform connects clinical context with revenue intelligence, helping health systems recover millions in missed revenue, improve quality scores, and appeal every denial.
Lead analytics engineering strategy and execution.
Own the company-wide semantic layer and metrics store.
Drive Finance Analytics, including ownership of Bookings, ARR, NDRR.
Smartsheet has helped people and teams achieve for over 20 years. They're building tools that empower teams to automate the manual, uncover insights, and scale smarter. The company welcomes diverse perspectives and nontraditional paths, with employees having real impact.
Support the architecture, design, and development of scalable analytics and reporting solutions across enterprise data platforms.
Partner with business stakeholders to define analytical strategies, frame problems, and deliver insights that drive decision-making.
Design and implement end-to-end data pipelines and workflows using modern big data and cloud technologies.
Cotiviti provides payment accuracy and analytics-driven solutions, focusing on healthcare and retail sectors. They are committed to fostering a diverse and inclusive environment where team members can grow and thrive.
Own end-to-end analytics workflows: define success metrics, generate insights and hypotheses, and build scalable data models
Identify and drive improvements across the developer and analytics lifecycle: uncover bottlenecks, quantify their impact, then partner with teams to drive alignment and deliver measurable impact.
Build and maintain high-quality analytics foundations: establish best practices for testing, alerting, documentation, and code review to ensure data is accurate, reliable, and trusted.
Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. They are a remote-first company with a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Build and maintain data transformation pipelines with robust testing.
Design, implement, and maintain models with complex domain and business logic.
Optimize data storage and retrieval processes for improved performance and scalability.
Accorded is seeking experienced professionals to join their team. They are located in the San Francisco Bay Area, committed to creating a diverse and inclusive work environment and do not discriminate.
Lead a team of data engineers, own the technical roadmap for our cloud data stack (Snowflake, Azure, dbt), and partner closely with stakeholders.
Establish and enforce organization-wide ETL/ELT best practices, naming conventions, and code review standards.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they offer strategic advantages to their clients by offering legal support services at every stage of their legal proceedings.
Design, build, and own scalable data pipelines and systems that power analytics, machine learning, and business operations.
Drive system design for data architecture, owning data models and storage solutions to create scalable foundations for the team.
Collaborate with engineering, product, and data teams to translate business needs into technical solutions, ensuring data quality and performance standards.
Goodway Group is a remote-first, data-driven, and technology-enabled digital media and marketing services firm with a 90+ year history, offering the security of an established company with a start-up feel. It is a diverse team of strategists, practitioners, technologists, and data scientists that is recognized as a top workplace and a certified partner to The Trade Desk.
Design, build, and maintain scalable data pipelines
Develop and optimize ETL processes to support data products
Work with structured and unstructured data across SQL and NoSQL systems
They are seeking a Data Engineer to support the development of data products that power critical business functions. They seem to have a collaborative, cross-functional Agile environment where you'll partner closely with technical and business teams to deliver high-quality data solutions.
Instrument fal's core infrastructure to capture CPU, GPU, and request-level signals.
Build ingestion pipelines from partner APIs, compute vendors, and internal services into BigQuery.
Design and operate the ETL backbone that powers cost, margin, and usage analytics.
Fal is the generative media ecosystem powering the next generation of AI products. They build the infrastructure, tools, and model access that teams need to move from idea to production at scale.