As a Data Engineer, you will design and build scalable, high-performance data pipelines and infrastructure using modern Azure and big data technologies. You will collaborate with cross-functional teams to deliver clean, accessible, and trusted data that powers advanced analytics, AI/ML models, and key business decisions.
Contribute to building a robust model library and pricing platform that drives measurable business impact and ensures long-term scalability. You will translate business needs into machine learning solutions, partner with engineering and product teams to deploy data science services. Your role includes monitoring model performance, identifying business opportunities, and supporting junior team members.
You will join a team of data management experts within our Digital Transformation Division to support our clients, detached to a major player in the insurance sector within a squad-organized team and work on a project to develop the Big Data platform. Your missions will include participating in the generation of application imprints from functional specifications, automating the configuration of Big Data environments and ensure a first level of support to projects.
The Data Engineer will manage our Azure-based data warehouse, develop and maintain data pipelines, and implement a robust, scalable, and optimized end-state target data model. This role requires a strong foundation in data engineering principles and stakeholder collaboration to align technical solutions with business objectives.
As a Lead Data Scientist within the Data Science Methods team, you will drive definition and support of new products and methods development, and improvement initiatives, focusing on innovation in data processing methods for retail measurement and automation of existing statistical procedures. You will define, plan, and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation.
This Director role will lead cross function data transformation initiatives powered by modern technology stack – Azure, AWS, Snowflake, Alteryx, SQL, Power BI, Tableau, UiPath, Open AI – Across mid-market and enterprise clients. This individual will own portfolio -level governance and execution of digital, data and automation programs, aligning technology delivery with measurable business outcomes.
Peraton is seeking a Database Engineer to support critical missions within its Risk Decision Group. The role involves designing, developing, and maintaining scalable ETL/ELT pipelines using SQL/Python. The engineer will also architect and orchestrate modular data workflows, build and maintain cloud-native database management systems, and optimize data systems for performance and reliability.
Modernize the Data Warehouse and build Analytical Data Store, while also maintaining the existing legacy Data warehouses. Design, develop, and implement scalable batch/real time data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse and Data Lake and implement data model changes that align with warehouse dimensional modeling standards.
As a Lead Data Scientist, you will develop advanced recommendation engines and deploy machine learning models into production, leveraging expertise in Python, PySpark, and MLOps to enhance data-driven decision-making. This position offers an opportunity to lead and mentor a team while driving technical excellence and innovation in a dynamic environment.