Source Job

• Provide flexible, trustworthy data models by transforming data from multiple sources with DBT, testing for quality, deploying to visualization tools and publishing documentation.
• Collaborate directly with stakeholders to define problems and determine requirements for a solution. Set and maintain best practices for data models and processes.
• Proactively identify gaps or design flaws in our data models, and bring recommendations for how to fix them. Own documentation of our tools and data.

Articulate Global, LLC, is a SaaS provider of creator platforms for online workplace training. They have more than 118,000 customers in 170 countries and counts all 100 of the Fortune 100 companies as customers. They are named one of Inc. Magazine’s Best Workplaces 2022 and a leader in building a human-centered organization.

Architect the US Data Foundation, owning the US data model from end-to-end. Make critical calls, deciding when to leverage global models and when to build new, US-specific solutions. Build robust, scalable, and high-quality data models to power US-specific products and analytics.

Monzo’s mission is to make money work for everyone, building a new kind of bank that lives on your smartphone and helps you take control of your finances.

• Contributing in all phases of the analytical application development life cycle.
• Designing, developing and delivering high-volume applications for data analytics systems.
• Ensuring designs are in compliance with specifications.

dLocal enables the biggest companies in the world to collect payments in 40 countries in emerging markets.

• Transform raw data into meaningful insights through analysis, dashboards, and reporting.
• Partner with stakeholders to understand business questions and translate them into analytical solutions.
• Provide visibility into performance and uncover opportunities for improvement.

Oowlish is a rapidly expanding software development company in Latin America that is seeking experienced technology professionals to enhance their diverse and vibrant team.

• Projetar, desenvolver e manter pipelines de dados (batch e streaming) para ingestão, transformação e disponibilização de dados para analytics e consumo por aplicações.
• Construir e evoluir modelagem analítica (camadas bronze/silver/gold, data marts, star schema, wide tables), garantindo consistência, documentação e reuso.
• Implementar boas práticas de qualidade de dados (testes, validações, contratos, SLAs/SLOs, monitoramento de freshness/completeness/accuracy) e atuar na resolução de incidentes com RCA.

CI&T specializes in technological transformation, combining human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, they have partnered with more than 1,000 clients during their 30 years of history.

• Lead complex product pipeline builds: Design and develop scalable data pipelines supporting cross-domain product launches in Payments, Credit, and Subscriptions, from scoping through delivery.
• Collaborate cross-functionally: Partner with Product Analysts and Product Managers to define data requirements, while analysts continue owning pipelines alongside you.
• Build product reporting infrastructure: Create reliable, performant marts and models that power product dashboards and self-service analytics.

KOHO aims to make financial services better for every Canadian with no hidden fees and predatory interest rates, designing financial products to help users spend smart, save more, and build real wealth. They are a performance organization that cares deeply about outcomes.

• Design, build, and optimize data pipelines to centralize data in a modern warehouse (PostHog)
• Automate ETL processes and existing spreadsheet-based reports
• Work closely with finance and business stakeholders to understand ad hoc reporting needs and deliver efficient solutions

Katapult is a nearshore software development agency that combines the best talent in LATAM, with world-class execution and leadership experience, with an AI-first approach to product engineering. Katapult works with PMF+ startups and businesses in the United States with a team-augmentation model.

• Analyze, process, and interpret large datasets to generate actionable insights.
• Develop and maintain ingestion and transformation processes.
• Design data warehouse models.

Software Mind develops solutions that make an impact for companies around the globe.

Build and own the data foundation, ensuring models are performant, well-tested, and documented; design and maintain the Snowflake data warehouse and ingestion processes; and use modern data modeling best practices to create core entities and datasets. Implement testing and observability for analytics pipelines. Act as data liaison between Engineering, GTM, and Finance ensuring consistent metric definitions and proper system instrumentation.

Luxury Presence is the leading digital platform revolutionizing the real estate industry for agents, teams, and brokerages.

The Senior Data Analytics Engineer designs, implements, and optimizes data analytics infrastructure. The role requires both technical expertise and strong analytical skills. The engineer develops and maintains data models, dashboards, and reports to support business analytics and decision-making.

Uniswap Labs builds products that help millions of people access DeFi simply and securely ‒ from the Uniswap Web App and Wallet to crypto infrastructure.

• Transform raw data into actionable insights.
• Manage data transformation pipelines and ensure KPI accuracy.
• Collaborate with stakeholders to translate business needs into technical solutions.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.

• Design, build, and maintain data models in our cloud data warehouse using dbt.
• Own the transformation layer from raw and staged data to curated marts.
• Promote and exemplify development standards and data quality for analytics engineering work.

Maven Clinic is the world's largest virtual clinic for women and families, dedicated to making healthcare accessible for everyone. With over $425 million in funding, they offer clinical, emotional, and financial support through their digital programs.

• Architect, design, and lead the implementation of highly complex, scalable, and resilient data solutions in the cloud.
• Quickly build subject matter expertise in a specific business area and data domain.
• Support defining and executing the overarching strategy for the analytics engineering function.

Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Founded in 2015 by former NSA cyber operators, Huntress protects all businesses with enterprise-grade, fully owned, and managed cybersecurity products.

• Aggregate data from various sources and build tables in Snowflake.
• Build and maintain reports and dashboards in Tableau to monitor business performance and identify growth opportunity drivers.
• Conduct analysis across datasets from marketing, sales, product usage, and key revenue metrics to identify trends and actionable insights.

Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Founded in 2007, Backblaze generates over $100m in revenue and is the leading specialized storage cloud - managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries.

Build robust data pipelines at scale. Design and implement data schemas. Collaborate with Analytics/Data Science team to structure and house data.

Goods & Services is a product design and engineering company that solves mission-critical challenges for some of the world’s largest enterprises.

As an Analytics Engineer, you will build the data foundation that powers key decisions across product, operations, and strategy. You will take ownership of our data stack from ingestion through modeling in dbt to build efficient, robust data pipelines. You’ll collaborate daily with Analysts, Data Scientists, and Machine Learning Engineers, as well as stakeholders from Product and Engineering.

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care.

• Build and maintain dashboards to deliver clear business insights.
• Transform raw data using DBT to create reliable datasets.
• Present analytical findings to stakeholders across the organization.

Roofr constantly gathers feedback to shape, prioritize, and launch the products they truly need, creating a CRM that connects solutions into a powerful platform.

• Design, build, and maintain high-volume ETL pipelines and ingestion systems.
• Architect reusable data integrations to replace legacy, bucket-based custom reporting.
• Deliver BI-ready datasets consumed by tools such as Snowflake, Tableau, Looker, or internal platforms.

Ubiminds partners with American software product companies to scale their development footprint by offering staff augmentation and employer-of-record services.

• Develop and maintain scalable data pipelines and ETL processes.
• Design, build, and optimize data models and databases.
• Perform data analysis, data mining, and statistical modeling.

We’re supporting a global fintech and digital currency platform in their search for a Senior Data Engineer to help scale and optimize their analytics and data infrastructure.