Source Job

• Define and communicate the long-term data architecture vision.
• Lead the evaluation and selection of technologies and frameworks.
• Establish and promote best practices for data management and governance.

CI&T is a tech transformation specialist, uniting human expertise with AI to create scalable tech solutions. With over 8,000 employees around the world, they foster a diverse, inclusive, and safe work environment where collaboration is a superpower.

• Design, build, and maintain robust and scalable data pipelines from diverse sources.
• Leverage expert-level experience with dbt and Snowflake to structure, transform, and organize data.
• Collaborate with engineering, product, and analytics teams to deliver data solutions that drive business value.

Topstep is an engaging working environment which ranges from fully remote to hybrid and they foster a culture of collaboration.

• Design, develop, and maintain scalable data pipelines using Snowflake and dbt.
• Write and optimize advanced SQL queries for performance and reliability.
• Implement ETL/ELT processes to ingest and transform data from multiple sources.

Nagarro is a digital product engineering company that is scaling in a big way and builds products, services, and experiences that inspire, excite, and delight.

• Design and implement end-to-end data integrations into analytical and operational data stores.
• Evaluate and recommend tooling, frameworks, and platforms for ingestion, transformation, and orchestration.
• Implement monitoring, alerting, and observability including metrics, logging, lineage, and data-quality controls.

Blue Coding specializes in hiring excellent developers and amazing people from all over Latin America and other parts of the world.

• 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.

• Administer and manage Tableau Server and Tableau Cloud including security and user access.
• Design and implement large-scale data solutions on platforms like Snowflake and AWS.
• Establish best practices for platform security and Data Governance.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Design, build, and maintain scalable data pipelines and warehouses for analytics and reporting.
• Develop and optimize data models in Snowflake or similar platforms.
• Implement ETL/ELT processes using Python and modern data tools.

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company; the final decision and next steps (interviews, assessments) are managed by their internal team.

• Design, develop, and maintain scalable data pipelines and data warehouses.
• Develop ETL/ELT processes using Python and modern data tools.
• Ensure data quality, reliability, and performance across systems.

3Pillar Global is dedicated to engineering solutions that challenge conventional norms. They are an elite team of visionaries that actively shapes the tech landscape for their clients and sets global standards along the way.

• Migrate data and analytics workloads from BigQuery to Snowflake
• Develop and optimize ETL/ELT pipelines using Python and SQL
• Build analytics-ready datasets for reporting and dashboards

Egen is a fast-growing and entrepreneurial company with a data-first mindset. They bring together the best engineering talent working with the most advanced technology platforms to help clients drive action and impact through data and insights.

• Build, operate, and scale the company’s transformation, enterprise data, and semantic layers.
• Distill requirements and logic and apply consistent implementation patterns to varying domains and use cases.
• Design, build, and maintain dbt models and macros, test specifications, and technical definitions of key measures and dimensions.

Rexel USA is a large distributor of electrical products, data communication, and related supplies. They operate through eight Regions with over 460 warehouse storefront locations throughout the U.S., focusing on creating an inclusive and diverse workplace.

• Spearhead the development and optimization of ETL processes and support our Snowflake data warehouse.
• Standardizing ETL processes across the organization to tackling ad hoc projects that arise in a fast-evolving company landscape.
• Streamlining our data management practices and ensuring our data infrastructure scales efficiently with our growth.

Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation.

• Partner with clients and implementation teams to understand data distribution requirements.
• Design and develop data pipelines integrating with Databricks and Snowflake, ensuring accuracy and integrity.
• Lead architecture and implementation of solutions for health plan clients, optimizing cloud-based technologies.

Abacus Insights is changing the way healthcare works by unlocking the power of data to enable the right care at the right time. Backed by $100M from top VCs, they're tackling big challenges in an industry that’s ready for change with a bold, curious, and collaborative team.

• Define and drive the long-term roadmap for our data ecosystem.
• Build and lead a best-in-class team across Data Engineering, Analytics Engineering, and future Data Science/ML Engineering.
• Architect data foundations that support ML and AI workloads.

Fora Financial is a technology-enabled leading provider of flexible financing to small and medium sized businesses.

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.

• Design and implement data solutions for various cloud data platforms.
• Lead and mentor engineering teams in best practices and technical excellence.
• Develop end-to-end technical solutions into production, ensuring optimal performance and security.

Jobgether is a remote-first organization that values a culture of technological curiosity, ownership, and trust and provides a dynamic and casual work environment for top performers. They use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Build and monitor Cribl’s core data tech stack including data pipelines and data warehouse.
• Develop cloud-native services and infrastructure that power scalable and reliable data systems.
• Support Cribl’s growing data science and agentic initiatives by preparing model-ready datasets.

Cribl is a company that provides a data engine for IT and Security for various industries.

• Design and maintain scalable data pipelines.
• Structure, transform, and optimize data in Snowflake.
• Implement multi-source ETL/ELT flows (ERP, APIs, files).

QAD Inc. is a leading provider of adaptive, cloud-based enterprise software and services for global manufacturing companies. They help customers in various industries rapidly adapt to change and innovate for competitive advantage.

• Collaborate with engineering, data science, ML, data engineering, and product analytics teams to understand and shape the future needs of our data platform and infrastructure.
• Define, drive, and implement the future live ingestion layer of data into our data platform (e.g. Kafka, Kinesis).
• Define and evolve standards for storage, compute, data management, provenance, and orchestration.

Inspiren offers the most complete and connected ecosystem in senior living.

• Design, develop, and maintain robust data processes and solutions.
• Develop and maintain data models, databases, and data warehouses.
• Collaborate with stakeholders to gather requirements and provide data solutions.

Highmark Health is a national, blended health organization that includes one of America’s largest Blue Cross Blue Shield insurers.

• Own the Data Products: You aren't just moving data; you are building durable, high-performance data assets that the business relies on.
• Empower the Consumers: Your team is the force multiplier for Data Science and Analytics. You remove the friction of data cleaning and query optimization so they can focus on insights.
• Enforce Technical Rigor: You ensure that our data models are not just accurate, but performant, scalable, and built with software engineering best practices.

Dandy is transforming the massive and antiquated dental industry. They aim to simplify and modernize every function of the dental practice through technology.