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.
Define platform architecture and evolve shared platform services, balancing scale, cost, and operational simplicity.
Build core infrastructure and own platform features that power analytics and ML.
Drive data quality & observability, championing governance and data quality standards.
Thumbtack helps millions of people confidently care for their homes with personalized guidance to AI tools and a best-in-class hiring experience. They are a growing community of 300,000 local service businesses.
Extend, optimize, and maintain core data models that support customer-facing reports, machine learning, and generative AI workloads.
Implement automation and operationalize ML models workflows that streamline operational processes, reduce manual work, and improve system efficiency.
Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.
Boulevard provides a client experience platform for appointment-based, self-care businesses, empowering customers to give their clients magical moments. They value diverse backgrounds, equal opportunity, and an inclusive culture, with a team that values curiosity and experimentation.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and design data models and schemas that facilitate data analysis and reporting
Design, develop, and maintain scalable and efficient data pipelines and ETL processes to ingest, process, and transform large volumes of data from various sources into usable formats
Build and optimize data storage and processing systems, including data warehouses, data lakes, and big data platforms, using AWS services such as Amazon Redshift, AWS Glue, AWS EMR, AWS S3, and AWS Lambda, to enable efficient data retrieval and analysis
ATPCO is the world's primary source for air fare content. They hold over 200 million fares across 160 countries and the travel industry relies on their technology and data solutions. ATPCO believes in flexibility, trust, and a culture where your wellbeing comes first.
Design, develop, and maintain Power BI dashboards.
Collaborate with stakeholders to understand their data needs.
Ensure the accuracy and reliability of data presented.
Jobgether is a platform leveraging AI to connect job seekers with companies. They focus on quickly and fairly reviewing candidates, and providing them opportunities with partner companies.
Own pricing and risk strategy for fantasy sports and esports markets.
Lead, mentor, and scale a high-performing team of pricing analysts and data scientists.
Develop, deploy, and maintain pricing models across multiple leagues and competitions.
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 to share directly with the hiring company so they can manage the final decision and next steps.
Oversee the analytics lifecycle, including data validation, modeling, dashboards, and reporting
Identify and implement automation opportunities to increase efficiency, reduce manual effort
Maintain data integrity, security, and adherence to governance standards across analytics projects
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 share this shortlist directly with the hiring company.
Build highly reliable data services to integrate with dozens of blockchains.
Develop complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.
Design and architect intricate data models for optimal storage and retrieval to support sub-second latency for querying blockchain data.
TRM is a blockchain intelligence company on a mission to build a safer financial system. They are a lean, high-impact team tackling critical challenges, and they empower governments, financial institutions, and crypto companies.
Work closely with data engineers to define data ingestion requirements
Define, refine and apply our standard data model
Develop end-user tables within Databricks utilizing SQL and DBT
Equilibrium Energy is building an AI operating system for the power sector, uniting cutting-edge science with real-world purpose to enable a cleaner, more resilient energy future. It is a well-funded, Series B clean energy startup backed by prominent institutional investors in climate and has a tight-knit group of brilliant, curious, and adventurous people.
You will lead a high-impact team responsible for maintaining and evolving Voleon’s core analytics pipelines and data models.
You’ll translate the needs of researchers and data scientists into robust, scalable, and reproducible analytics systems.
You’ll collaborate with leaders across Research, Engineering, ProdOps, and Data Infrastructure to define a clear roadmap for analytics enablement.
Voleon is a technology company applying state-of-the-art machine learning to real-world financial problems. With over a decade of leadership in the industry, they've built a multibillion-dollar asset management firm and continue to drive ambitious innovations.