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.
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.
Co-design, prepare and deliver KPIs to measure commercial and sales performance.
Design and develop requested KPIs from different areas and countries.
Define and implement initiatives to improve information homologation and standardization.
Encora is a global company that offers Software and Digital Engineering solutions. They hire professionals based solely on skills and do not discriminate, focusing on practices like Cloud Services, Product Engineering, Data & Analytics, and AI.
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.
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.
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.
Build and own end-to-end data pipelines in Snowflake — from raw ingestion through transformation to serving layers for AI products.
Partner with ML engineers and data scientists to build and maintain AI-specific data infrastructure.
Consolidate fragmented data sources across the organization into reliable, automated pipelines.
Power Digital is a tech-enabled growth firm at the intersection of marketing, consulting, and data intelligence. They ignite revenue and brand recognition for leading and emerging companies. They are a people-first firm with a focus on diversity and have a dynamic team of consultative marketers, creatives, analysts and technologists.
Design, build, and maintain scalable data pipelines using AWS Glue (PySpark), or equivalent orchestration and transformation tools.
Engineer and optimise the ClickHouse warehouse for sub-second query performance across all back-offices.
Implement data contracts between back-office and the platform.
Block Labs is a premier technology studio operating at the bleeding edge of Web3, Artificial Intelligence, and iGaming. We are a collective of senior engineers, product strategists, and builders who refuse to compromise on architecture.
Build and maintain reliable data pipelines and datasets that enable critical product models for demand forecasting and analytics.
Evolve the data platform by assessing current architecture and driving pragmatic improvements in tooling and operating practices.
Implement testing, lineage definitions, and guardrails to ensure data quality and trust for stakeholders across delivery, billing, and reporting.
Enode provides the software infrastructure layer that connects and orchestrates grid-scale renewable energy devices like EVs, heat pumps, and batteries for energy companies, utilities, and traders. It's an early-stage, mission-driven climate tech startup backed by notable investors, operating with a high-drive, human-first culture.
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.
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.
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 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.
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.
Proactively explore data to identify customer problems and product bets.
Translate ambiguous problems into clear analyses and recommendations.
Partner with Product Managers to shape roadmaps.
RevenueCat removes the headaches of building and scaling in-app subscriptions. We're a remote-first crew of 120+, spread across 25 countries, helping everyone from solo devs to the OpenAI mobile team understand and grow their revenue.
Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL.
Implement observability and data quality controls and build monitoring for freshness, volume, schema, distribution, and lineage.
Define and enforce data platform standards, establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization.
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.
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.
The Finance Systems Data Analyst plays a key role in supporting the Finance organization by ensuring the accuracy, consistency, and accessibility of financial data across SAP and Snowflake environments.
Bridges finance, data engineering, and business intelligence, helping to optimize data flows, automate reporting, and enable better financial decision-making through clean, connected data.
Maintain, validate, and reconcile financial data between SAP (FI/CO, AR, AP, GL, etc.) and Snowflake data warehouse.
Remote solves 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 their fully remote team works asynchronously around the world.
Triage and resolve pipeline data quality issues, authoring new dbt models or refactoring existing ones.
Design dbt test suites and understand the end-to-end pipeline to trace data quality issues to their roots.
Build relationships with clients and partners, driving improvement projects and deeply familiar with Arcadia's full data stack.
Arcadia.io helps innovative providers and payers across the country transform healthcare to reduce cost while improving patient health. They are growing fast and have emerged as a market leader in the highly competitive population health management software market.