Design data engineering solutions for enterprise clients across a variety of MarTech and AdTech platforms. You'll plan how data needs to flow across each client’s MarTech stack so the data can be used in Polaris, their proprietary tech platform. Build data models using BigQuery and dbt, designing them for use across reporting, apps, and media forecasting. If you revel in data development challenges, this role is for you.
You will be part of a distributed team developing new technologies to solve real business problems. You will build highly consumable and cost-efficient data products that synthesize data from a variety of source systems. You will also stage raw data and enrich it with business value so that downstream workflows can get consistent dimensions and metrics.
As we scale our data infrastructure to meet the growing complexity and volume of the crypto ecosystem, Nansen is hiring a Data Engineer to build and optimise systems that power our customer-facing analytics product. You'll work with a collaborative team to solve hard technical problems with real-world impact — powering tools used daily by thousands of crypto investors, builders, and institutions.
This role involves shaping the design, building, and evaluation of new insurance products by turning complex data into actionable insights, collaborating with Product, Insurance, Engineering, and Leadership teams to drive experimentation, supporting product development, and designing reporting structures from the ground up.
Support studies on miner overclocking and underclocking. Analyze energy utilization and identify optimization opportunities. Rank mining hardware based on performance across various tasks. Collect and clean data from multiple sources. Build and maintain data pipelines for analysis. Perform exploratory data analysis and generate insights. Develop dashboards to visualize key metrics. Assist in building machine learning models and optimizers.
Seeking a skilled Middle Data Engineer to strengthen the team, focusing on puzzle and casual mobile games for iOS and Android. The role involves developing ETL/ELT pipelines, designing and maintaining DAGs in Airflow for automated data collection, configuring incremental data extraction from Appsflyer and Firebase, and data modeling in dbt. This includes creating and maintaining SQL models with quality tests.
As a Senior Analyst, you will analyze data and develop insights around user engagement in order to inform critical product decisions. You’ll partner closely with internal UX and program teams as well as clients to ensure that our teams are measuring success, conducting analytics presentations for major clients along with multiple streams of work, and collaborating with Huge capability teams.