Join a global leader in government technology as a Senior Data Engineer. You’ll leverage data from application event streams, product databases, and third-party sources to help stakeholders create products and answer business questions. Revamp orchestration and execution to reduce critical data delivery times and stand up a reporting system in BigQuery from scratch.

Leverage your analytical skills to identify patterns, trends, and insights in large data sets. Use industry standard techniques to create features, clean datasets and develop pipelines to train and serve our models. Evaluate the credit risk of potential borrowers using your developed models, effectively assigning credit scores or probability of default values.

The Staff Data Engineer role involves designing, developing, and maintaining data pipelines and infrastructure to support marketing strategies, ensuring efficient data collection, storage, and analysis, requires collaboration with data scientists and stakeholders to provide high-quality data for insights and decision-making and deliver innovative solutions aligned with company's vision.

As a Senior Data Analyst (III), you will play a critical role in driving our business strategy and growth by leveraging data to calculate contribution profit, EBITDA, revenue, and credit consumption. Your work will steer short and long term decisioning, championing a data-driven culture using data to answer business questions and deliver measurable results.

As a Risk Model Analyst on the Payments Risk Analytics team, you’ll be responsible for working cross functionally with our Risk machine learning team to evaluate Risk model performance, identify gaps and recommend solutions to improve model precision and recall and create/optimize features for our risk models to consume. This role will report to the Manager of Payments Risk for NAMER and UK/EU regions.

Work to understand what features drive a vehicle's price and predict future values. The data science team provides industry-leading, accurate, transparent analytics. Create innovative machine learning processes, deploy them on our AWS server, and develop the tools for monitoring them. Immerse yourself in automotive industry data and collaborate with technology and engineering teams.

Shape the backbone of Bright Network's business intelligence system as a Senior Data Engineer. You’ll design, build, and optimise scalable data solutions, using tools like Fivetran, Snowflake, DBT, and Tableau, to evolve the data architecture and empower data-driven decision-making across the company.

As part of the Valuation Services division of JD Power, you will work to understand what features drive a vehicle's price and predict future values. The role involves strategic planning for data science initiatives, creating technical predictions, documenting machine learning processes, and collaborating with technology teams. The ideal candidate will have expertise in SQL, Python/R, Advanced Excel, and AWS SageMaker.

Lead the design, architecture, and implementation of large-scale data solutions for clients. Act as a strategic technical leader, collaborating with cross-functional teams to deliver innovative data platforms that drive business value. Define and drive technical strategies that align AWS capabilities with customer objectives, incorporating Databricks, GCP, or Azure where appropriate.

We are looking for a Data Engineer to join our team to create and maintain optimal data pipeline architecture and assemble large, complex data sets. Contribute to production operations, data pipelines, workflow management, and reliability engineering.