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Develops AI-powered audience analytics and media intelligence solutions using real-time data; builds production ML/PySpark pipelines on Databricks with MLOps best practices.
Senior Full Stack Engineer with a focus on data infrastructure, designing and owning end-to-end data pipelines, storage, and retrieval systems while contributing to broader product architecture and AI-ready system design.
Senior Data Engineer to design, build, and optimize enterprise scale data platforms using Databricks, Python, and PySpark. This role focuses on developing high-performance batch and real-time data pipelines, implementing modern data engineering frameworks, and delivering reliable, governed data solutions.
Lead Data Engineer responsible for designing, developing, and managing modern data platforms using Microsoft Fabric. The role involves building ETL/ELT pipelines, implementing Lakehouse structures, ensuring data governance, and mentoring junior engineers.
A Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
Build and optimize data pipelines for government analytics using SQL, Python/Scala, and cloud tools like Snowflake and Databricks.
Designs and implements modern data architectures including medallion/lakehouse patterns, builds event-driven data pipelines processing billions of documents, and creates analytics infrastructure for AI/ML initiatives on AWS.
Leads a small team of 2-3 platform engineers, splitting time between people leadership and hands-on work like designing Terraform/Terragrunt modules on GCP, championing data security, and establishing self-service developer tools. Core technologies include Terraform/Terragrunt, GCP (BigQuery, Cloud Composer, GKE, IAM), and CI/CD pipelines (GitLab CI, Docker, Kubernetes).
Build scalable data pipelines and platforms using PySpark, SQL, and Microsoft Fabric for a private equity-backed company's greenfield data transformation.
Designs and implements scalable, secure enterprise data platforms using Databricks, Azure, and cloud technologies to enable analytics and business decision-making. Mentors teams and establishes architectural standards.
Design, develop, and maintain scalable data pipelines and workflows on Azure Databricks using PySpark, Azure Data Factory, and Apache Spark for advanced analytics and data engineering.
Builds AI-native engineering software for X-energy’s Xe-100 nuclear reactor project, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate regulated workflows.
Builds AI-native engineering software for nuclear reactor development, focusing on agentic workflows, data integration, and cloud-native platforms to accelerate workflows and ensure regulatory compliance.
Lead the strategy, governance, reliability, and operations of enterprise cloud data and AI platforms on Azure, managing engineering teams and partnering across the organization to deliver scalable, secure platform services.
Senior Data Engineer designing and building scalable Azure Databricks-based data pipelines, ETL processes, and lakehouse architectures using Python, SQL, Apache Spark, and Delta Lake at a law firm.
Leads the design, build, and operation of a cloud-based data platform (Databricks on AWS) for a law firm, focusing on Data Vault 2.0 and medallion architecture to support AI, analytics, and legal intelligence. Manages teams, infrastructure, and cross-functional collaboration for a greenfield platform serving both analytical and AI consumption layers.
The Leidos Digital Modernization Sector has a career opportunity for a Technical Development Lead - Real-Time Visibility supporting the Global Solutions Management - Operations II (GSM-O II) contract with the Defense…
Senior Data Engineer designing, optimizing, and maintaining scalable data pipelines on Databricks/AWS for analytics, AI/ML, and reporting in healthcare/biopharma.
Senior data engineer designing scalable Snowflake/dbt pipelines for SouthState Bank’s analytics, reporting, and decision-making systems. Leads enterprise data platforms, mentors engineers, and ensures compliance with financial regulations.
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