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.
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.
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.
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.
Build upon and scale our current data infrastructure to meet evolving business needs and capture critical business logic.
Work closely with the Senior Analytics Engineering Manager to create and improve data models and development environments.
Contribute expertise and promote best analytics engineering practices through collaboration with other data teams and stakeholders.
GOAT Group operates leading platforms for authentic sneakers, apparel, and accessories, with brands like GOAT, Flight Club, and Grailed. They have a global community of over 60 million members across 170 countries, offering a wide range of styles through digital platforms and retail locations.
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.
Transform raw data into business insights, working closely with stakeholders.
Apply software engineering principles like version control to the analytics codebase.
Implement validation checks and automated testing procedures to manage data quality.
Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. They deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes.
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.
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.
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.
Design, develop, and maintain scalable data pipelines and infrastructure.
Build and optimize data warehouses, databases, and data models.
Implement and maintain data governance and security practices.
Jobgether is a company that uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly. They connect candidates with companies; their culture is collaborative and inclusive, focused on innovation and growth.
Build and maintain an internal Data warehouse that aggregates and organizes data from various source systems.
Build dynamic reports to facilitate complex business analyses and enable business users to answer their most important data-driven questions.
Help communicate across different business groups in order to bring a source of truth to data.
Revinate is a direct booking platform that leads the hospitality industry in driving direct revenue and increased profitability. With their products and people, they give hoteliers the superpowers they need to crush their goals, shifting share away from OTAs and driving tangible results. They power 1.1 billion Rich Guest Profiles across 12,500+ hotels to drive over $24 billion in direct revenue.
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 ELT pipelines using Fivetran and custom API integrations via Dagster, including setting up new source connectors and troubleshooting.
Manage and improve our Dagster orchestration — scheduling jobs, debugging failures, and keeping pipeline runtime tight.
Maintain and improve our GitHub Actions CI/CD workflows to ensure safe, reliable deployment of dbt models into production.
Wisp is on a mission to put healthcare back in patients’ hands by connecting them with hassle-free sexual + reproductive care online. They are a growing, fully-remote team in the United States looking for collaborators who are committed to their mission.
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.
Own and maintain data pipeline architectures, ensuring reliability and monitoring.
Manage and evolve data modeling environments for analysts and engineers.
Implement observability for data systems, detecting issues early and continuously monitoring data quality.
Voltus unlocks the full value of distributed energy resources for customers and the grid. They are a fast-growing climate-tech company with a bright, gritty, and good team that values innovation, impact, and integrity.
Build and optimize scalable data pipelines using Python and dbt.
Design and maintain Snowflake warehouse structures, database tables, and performant data models.
Develop reliable ETL/ELT workflows for extracting, transforming, loading, and validating data from multiple sources.
We are seeking a Senior Data Engineer to support core marketplace analytics data products and platform work. Enterprise experience is strongly preferred.
Design, develop, and maintain robust, scalable ETL/ELT data pipelines using Python, SQL, and data processing frameworks.
Implement data quality checks, monitoring, and alerting across all data pipelines to ensure data integrity and reliability.
Work closely with data analysts, data scientists, and business intelligence engineers to understand their data requirements and deliver reliable, high-quality data access.
InStride Health delivers specialty anxiety and OCD care. They focus on expanding access to insurance-based care, increasing engagement, and improving treatment outcomes by combining clinical care and innovative technology. They are a mission-driven company.
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.
Design and administer cloud-native data systems using AWS services like Glue, Lambda, Redshift, and S3 to build scalable data architectures.
Develop and maintain reliable ETL processes using Python and SQL to ingest, clean, and transform complex healthcare data, optimizing pipeline performance.
Implement data security, governance, and compliance measures while collaborating with product and analytics teams to translate business needs into technical solutions.
Evio is a pharmacy solutions company founded by and working with health plans to implement transformative specialty medication initiatives. It is a lean, independent entity with six owner health plans serving over 20 million members, investing heavily in a strong, intentional team culture and values.