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Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud,…
Senior Analytics Engineer to migrate legacy data warehouse to a Databricks Lakehouse, modeling domain-specific marts in the gold layer and coordinating cutover waves with BI teams.
Lead a data engineering team to design robust, scalable data architectures for AI, BI, and reporting solutions while mentoring developers and driving technical decisions in a hybrid work environment.
Senior Data Engineer builds and maintains large-scale ETL pipelines at Tatari, transforming raw TV advertising data into production-grade datasets for reporting and measurement using Python, Spark, and Databricks.
Builds and maintains data pipelines for geospatial and place-related datasets, focusing on quality, reliability, and observability using Python, SQL, and Spark technologies.
Senior data engineer building and maintaining batch and streaming pipelines, optimizing queries, and improving data quality and reliability for a Paris-based company.
Business analyst in a retail bank’s MDM team, gathering requirements, analyzing data quality, and prototyping SQL/Python solutions on Hadoop/Spark to improve master data management.
Designs and deploys machine learning models to detect financial crime patterns using BSA/AML transaction data, working with Python, R, and AWS services in a regulated federal compliance environment.
Data Engineer Location:Malvern PA Openings: 3 Duration: Contract Job Summary We are seeking an experienced Data Engineer with strong expertise in Python, PySpark, AWS Glue, and AWS data services to build and support…
Principal Data Engineer designs and builds enterprise data pipelines using PySpark for a bank’s regulatory reporting program, ensuring compliance and scalability.
Build and optimize backend microservices using Node.js, TypeScript, and AWS Lambda, while collaborating on scalable, event-driven systems handling large-scale data.
Principal Data Engineer designs, builds, and leads end-to-end data pipelines and analytics platforms for enterprise clients using Azure, Python, and Spark, while coaching teams and advising stakeholders.
Lead a team to design, build, and maintain scalable data pipelines and platforms using Python, Spark, and Microsoft Azure for analytics and AI products.
Builds and maintains NLP pipelines and large-scale data processing systems in Python, using libraries like PySpark, BERT, and MLflow to support AI-driven financial services.
Build and maintain Python-based full-stack applications using Django, Apache Spark, and Kubernetes in a hybrid Charlotte office for a 12-month contract role.
Build and maintain data pipelines and web services using Python, Spark, Django, and Kubernetes in a contract role for an IT consulting firm.
Designs and maintains cloud-based data pipelines in AWS to integrate enterprise systems like Salesforce and NetSuite, enabling analytics and reporting for a global convenience retail and petroleum tech company.
Designs and builds scalable AWS data pipelines, including batch and real-time streaming, with a focus on data quality and validation.
Designs and maintains cloud-based data pipelines in AWS to integrate enterprise systems like Salesforce and NetSuite, enabling analytics and business intelligence for a global convenience retail and petroleum tech company.
Junior software engineer building geolocation and data-integration tools for a U.S. government client in Fort Meade, using Java, Python, PySpark, and Hadoop.
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