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.
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.
Architect and evolve our data platform using Snowflake and dbt.
Design and implement batch and streaming pipelines in AWS.
Define and enforce data governance, security, and privacy policies.
BlueMatrix and Street Context develop web applications for the authoring, distribution, and analysis of investment research, and for internal knowledge management and digital communications. The BlueMatrix and Street Context teams are made up of ambitious and passionate people who have turned technology development and client service into an art.
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.
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 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, 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.
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, build, and maintain cloud-native data infrastructure using Terraform for IaC.
Develop and optimize data pipelines leveraging AWS services and Snowflake.
Build and maintain LLM frameworks, ensuring high-quality and cost-effective outputs.
ClickUp is building the first truly converged AI workspace, unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI.
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.
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.
As a Solution Engineer, you will meet with data partners, assess requirements, and recommend pipeline improvements to manage data export and delivery in an efficient, scalable process. You will be part of a small, cross-functional team that includes other engineers, a product manager, data scientists, and others. Success requires the ability to take on ambiguous, complex problems and promote innovative solutions to address immediate needs and support future growth.
Fetch is a rewards app that empowers consumers to live rewarded throughout their day and has delivered more than $1 billion in rewards and earned over 5 million five-star reviews.
Design and implement scalable, high-performance data architectures to support business needs.
Develop, automate, and maintain production-grade data pipelines using modern data stack tools and best practices.
Optimize data workflows and implement observability frameworks to monitor pipeline performance, reliability, and accuracy.
Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.
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, develop, and manage modern, scalable data solutions across federal and commercial environments. Build robust data pipelines, integrate data across multiple sources, and ensure high-quality, reliable data for analytics and operational use. Collaborate with cross-functional teams including Architects, Data Scientists, and DevOps engineers to deliver secure and efficient data solutions.
This position is posted by Jobgether on behalf of a partner company and uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly.