Work across all aspects of data, from engineering to building sophisticated visualizations and machine learning models, producing institutional grade data insights reports on macro trends, sector trends, and analyzing large volumes of on-chain transactional and operational data.
Job listings
As a Data Architect, you will be at the forefront of designing and architecting comprehensive data solutions across multiple platforms aligned with client needs and objectives. Lead data architecture transformations and/or migration to modern cloud solutions, ensuring robustness and scalability of the solution. Design efficient, scalable ETL/ELT pipelines that streamline data processing and integration.
Join a small Business Intelligence team and interrogate data in Google Big Query, develop data pipelines for analysis and reporting. Build a portfolio of reports and dashboards using Looker Studio. You will be accountable for servicing information to our operations managers and team leaders.
We are seeking a Snowflake Data Analyst with strong SQL and ETL expertise to design, manage, and optimize our Snowflake environment. This role will play a critical part in enabling secure, accurate, and business-aligned data access across the client and downstream systems. The ideal candidate will bring a blend of Snowflake platform skills, ETL integration experience, and business collaboration to support data-driven decision-making.
We are seeking an experienced and highly skilled Senior Data Engineer to play a pivotal role in the evolution of our analytics platform, augmenting our in-house platform with cutting-edge data engineering technologies on Google Cloud Platform (GCP) to achieve new levels of scale and performance, complemented by Looker for best-in-class visualization and analysis.
As a part of the Data Analytics function at Cribl, you will be responsible for empowering data-driven decision-making across Cribl. Focused on scaling our business intelligence product, democratizing the use of data, and championing data best practices! You will be a key contributor to our centralized Analytics team, partnering closely with Product, Engineering, and Customer Experience functions.
The Senior Data Python + AWS Engineer will deliver exceptional product capabilities for our clients. The role involves developing strategies for acquiring research data, engineering custom file parsers, and implementing robust data models and scalable data pipelines. You will also perform comparative analysis of datasets and create visualizations, reports, and interactive dashboards.
As a Data Engineer III at Spreetail, you will lead impactful, cost-effective, and scalable data solutions that empower innovation across the organization. You will be accountable for the systems you build, the business outcomes they drive, and the elevation of data engineering practices across teams. The role involves designing and implementing reliable data pipelines, championing data quality, and collaborating with various teams.
The Data Modeler will work closely with Business and technical SMEs to understand data consumption and reporting needs. They will understand source system data structures and be responsible for developing conceptual, logical, and physical schemas for landing, integration, and analytical layers. The role involves designing and developing mappings of source system data elements with a common data model and coordinating with ETL specialists on data mappings.
A senior leader to own data quality, guide ambiguous workstreams, and break big-picture goals into executable chunks. Plays a crucial role in building new advertising business from the ground up, with a focus on data ingestion, analysis, and reporting. A unique opportunity to own projects from end-to-end, work with novel data sources, and provide strategic thought leadership in a fast-paced environment.