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.
Deliver high impact code to create pipelines, visualizations, and dashboards that enable informed decision-making at scale.
Operate as a senior technical expert in data and analytics engineering, leading architecture discussions and implementing robust, scalable data models.
Collaborate cross-functionally with Product Managers, Engineers, and Business Stakeholders to capture requirements and translate them into technical solutions.
Lovevery is a fast-growing digitally native brand co-founded by successful serial entrepreneurs and based in Boise, Idaho, taking a science-based approach to help parents give their children meaningful development experiences. Named one of Fast Company's 10 most innovative companies of 2024, Lovevery has received awards from TIME, Red Dot, Good Housekeeping and Forbes.
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.
Own dbt and the semantic layer that defines how Fora measures its business in code.
Partner closely with the VP of Data & AI, Data Engineering, and Risk & Analytics.
Shape how a $4B+ originator understands its business through data modeling decisions.
Fora Financial is a technology-enabled provider of flexible financing to small and medium-sized businesses. The company has grown to nearly 200 employees and values a collaborative, partner-centric culture.
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.
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.
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, define, and activate Appfire’s company-wide data asset (Snowflake) from ground up data sources.
Architect, build, and launch efficient & reliable data models and pipelines in partnership with Data Engineering, leveraging DBT and Snowflake.
Design and implement metrics and dimensions enabling self-service analysis and structured views of Appfire’s KPI’s that scale trust, accountability and decision impact.
Appfire empowers teams to break silos and collaborate seamlessly with its software. They are a remote-first company with 850+ employees (called "fireflies") across 28 countries, fostering a culture of respect and growth.
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.
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 the design and evolution of the data platform architecture, establishing patterns and standards the team builds on.
Build and operate production-grade data pipelines that ingest and transform high-variance, real-world clinical data reliably and at scale.
Contribute to quarterly data product releases, working closely with product, clinical, and customer success teams to meet commitments.
Verantos is the market leader in high-accuracy real-world evidence (RWE) generation. The Verantos RWE platform integrates heterogeneous real-world data sources and generates evidence with the accuracy necessary for regulatory and reimbursement use, serving some of the largest biopharma companies globally.
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.
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.
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.
Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
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.
Development of various services in Python: integration with marketing partners, obtaining data from various sources.
Creation and support of processes on Airflow.
Supporting the migration of marketing data pipelines and DWH components from MS SQL to Google Cloud Platform (including BigQuery), contributing to architecture decisions and best practices.
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. Our international team of 1000+ professionals and digital nomads works all over the world and we are proud to be a two-time “Great Place to Work” winner.
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.
Lead the execution of our data strategy, translating high-level commercial goals into actionable, governed data models.
Manage sales analytics, capacity planning, and target-setting, you will provide the tactical roadmap for Remote’s growth.
Build and oversee executive-level dashboards that provide real-time visibility into sales productivity and GTM efficiency.
Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. They make it possible for businesses of all sizes to recruit, pay, and manage international teams and encourage every member of the Remote team to bring their talents, experiences and culture to the table.
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.