Design, build, and maintain scalable data pipelines and workflows in Snowflake.
Integrate and ingest data from multiple systems into Snowflake.
Develop and optimize SQL queries, views, and materialized datasets.
GTX Solutions is a consulting firm specializing in modern data architecture, Customer Data Platforms (CDPs), and marketing technology enablement. They work with enterprise clients across industries including Retail, Travel, Hospitality, and Financial Services to design and implement scalable data ecosystems.
Design, develop, and maintain reliable end-to-end data pipelines that connect internal and external systems.
Contribute to the performance, scalability, and reliability of our entire data ecosystem.
Work with analysts to engineer data structures and orchestrate workflows that encode core business logic.
Roo is on a mission to empower animal healthcare professionals with opportunities to earn more and achieve greater flexibility in their careers and personal lives. Powered by groundbreaking technology, Roo has built the industry-leading veterinary staffing platform, connecting Veterinarians, Technicians, and Assistants with animal hospitals for relief work and hiring opportunities.
Design, build, and maintain robust data pipelines.
Own and scale ETL/ELT processes using tools like dbt, BigQuery, and Python.
Build modular data models that power analytics, product features, and LLM agents.
Jobgether is a platform that uses AI to match candidates with jobs. They aim to review applications quickly and fairly, ensuring the top-fitting candidates are identified and shared with hiring companies.
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.
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.
Build modern, scalable data pipelines that keep the data flowing.
Design cloud-native infrastructure and automation that supports analytics, AI, and machine learning.
Unify and wrangle data from all kinds of sources.
InterWorks is a people-focused tech consultancy that empowers clients with customized, collaborative solutions. They value unique contributions, and their people are the glue that holds their business together.
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.
Support their managed analytics service client through their data-driven journey and deliver measurable business value through data modeling, API integration, SQL scripting, and data pipeline development.
Bridge the important gap between data applications and insightful business reports.
Participate in building our data platform from the ground up by exploring new technologies & vendors within our cloud-first environment
DataDrive is a fast-growing managed analytics service provider that provides modern cloud analytics data platforms to data-driven organizations, while also supporting ongoing training, adoption, and growth of our clients’ data cultures. DataDrive offers a unique team-oriented environment where one can develop their skills and work directly with some of the most talented analytics professionals in the business.
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.
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.
Design, build, and maintain scalable data pipelines.
Develop and implement data models for analytical use cases.
Implement data quality checks and governance practices.
MO helps government leaders shape the future. They engineer scalable, human-centered solutions that help agencies deliver their mission faster and better. They are building a company where technologists, designers, and builders can serve the mission and grow their craft.
Analyze and interpret complex data to identify and resolve anomalies.
Design, develop, and maintain scalable ETL pipelines using Matillion ETL.
Optimize SQL queries to improve efficiency and reduce processing time.
RxSense is a healthcare technology company providing platforms and solutions to improve the management and access of cost-effective pharmacy benefits. They are a leader in SaaS technology for healthcare that connects the pharmacy ecosystem.
Collaborate with business leaders, engineers, and product managers to understand data needs.
Design, build, and scale data pipelines across a variety of source systems and streams (internal, third-party, as well as cloud-based), distributed/elastic environments, and downstream applications and/or self-service solutions
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
NBCUniversal is one of the world's leading media and entertainment companies that creates world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.
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.
Maintain, configure, and optimize the existing data warehouse platform and pipelines.
Design and implement incremental data integration solutions prioritizing data quality, performance, and cost-efficiency.
Drive innovation by experimenting with new technologies and recommending platform improvements.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. They appreciate your interest and wish you the best!
Lead product requirements and advanced analytics requirements gathering efforts.
Work with analytics, data science, and wider engineering teams to help with automating data analysis and visualization needs.
Build a scalable technology platform to support a growing business and deliver high-quality code to production.
Achieve is a leading digital personal finance company that helps everyday people move from struggling to thriving by providing innovative, personalized financial solutions. They have over 3,000 employees in mostly hybrid and 100% remote roles across the United States with hubs in Arizona, California, and Texas and a culture of putting people first.
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.