Top Data & Analytics Jobs

The Data Engineer will develop and implement software solutions for law enforcement, focusing on data management, system optimization, and effective communication with clients.

The Data Engineer will develop data and software solutions for law enforcement, create reports, and manage data sources. Responsibilities include collaborating with teams to analyze data, communicate with clients, and ensure high-performance analytics tools.

As an Azure Data Platform Consultant, you will deliver data solutions using Azure and Fabric, engage with clients, design solutions, and optimize data platforms.

Design and maintain scalable batch and real-time data pipelines, build governed data models for a CDP, ensure data quality and security, support identity resolution and customer 360, mentor junior engineers, and collaborate with analytics and business stakeholders to deliver actionable customer insights.

Build, maintain, and support scalable data systems and pipelines. Ingest, clean, structure, and enrich data from multiple sources. Ensure data quality, security, and governance. Collaborate with analysts and data scientists to design solutions, deploy and optimize pipelines, and diagnose and resolve data issues to support analytics and reporting.

Responsible for building and operating scalable lakehouse data pipelines, optimizing data flows, and delivering analytics-ready data products using Azure Databricks technologies.

Design, build, and maintain scalable data pipelines and ETL processes in Azure (Synapse, Data Factory). Integrate data via APIs, ensure data quality/security, support analytics and Power BI reporting, collaborate with stakeholders, and manage work using Agile/Jira to support federal healthcare and VA initiatives.

The role involves engineering modern data platforms, focusing on data ingestion, transformation, and storage while utilizing Azure services and MS Fabric, supporting an investment management firm.

Design, implement, and maintain scalable data pipelines and storage for intelligence operations. Build ETL and real-time ingestion, optimize queries and data models, enforce data quality, governance, and security per IC standards, and collaborate with analysts and mission partners.

The Data Engineer will lead data lifecycle strategy, manage data acquisition and cleansing, and collaborate with teams to optimize data solutions and architecture.

Design, build, and maintain Microsoft Fabric-based enterprise data warehouse, ETL/ELT pipelines, and integrations. Ensure data quality, governance, and performant BI datasets while partnering with stakeholders and BI/Power BI teams. Provide technical leadership, troubleshoot pipelines, and recommend platform improvements.

Designs, develops, and maintains secure enterprise data pipelines and ETL/ELT processes integrating government and commercial systems. Ensures data quality, performance, availability, and real-time delivery for logistics, mission support, analytics, and operational decision-making. Responsibilities include database and pipeline optimization, cloud migration support, technical documentation, cybersecurity and governance compliance, troubleshooting, stakeholder coordination, operational exercise support, and mentoring junior personnel.

Lead design and delivery of scalable data warehouses and analytics platforms for T-Mobile Advertising Solutions. Architect and implement cloud data pipelines, mentor engineers, run design workshops, scope projects, and deliver end-to-end data solutions using cloud data services and modern data platforms.

Develop and maintain Databricks Lakehouse ingestion and transformation pipelines (Bronze/Silver/Gold). Write SQL and PySpark, monitor jobs, document logic, participate in reviews, and collaborate across teams while learning team standards and cloud/data tooling.

Design and build production-scale data pipelines, orchestration, and integrations on GCP to enable metadata-driven governance, lineage, automation, and AI-enabled workflows. Implement secure, observable, cost-efficient cloud data solutions, embed governance into engineering workflows, and drive CI/CD, testing, monitoring, and platform engineering best practices.

Design, build, and maintain scalable ETL/ELT pipelines (batch and streaming); manage data catalogs and API integrations with OAuth2; collaborate with cross-functional teams to ensure data quality and platform reliability for mission-driven projects.

Design and build scalable backend services and data ingestion pipelines, perform data modeling and large-file processing, develop reusable APIs, and optimize systems for speed and scalability while collaborating in an Agile team.

Design and maintain scalable data models and version-controlled analytics workflows to convert raw data into trusted datasets for BI. Collaborate with data engineering and business teams to ensure data quality, documentation, and alignment with business objectives, enabling reliable reporting and analytics.

Design, build, and maintain core data infrastructure and automated end-to-end pipelines to ingest, process, store, and transform data. Develop data models and schemas, implement processing frameworks, enforce data quality and lineage, troubleshoot pipelines, collaborate with data scientists and security teams, document architecture, and support data governance and continuous improvement.

Design and build Microsoft Fabric medallion architecture, including Bronze, Silver, and Gold Delta tables, Spark feature pipelines, canonical MERGE workflows, Direct Lake semantic models, and OneLake layouts. Optimize Delta and Parquet physical storage, establish idempotent Python-based writes, size Fabric capacity, and support infrastructure provisioning with Terraform. The role also contributes to risk analytics delivery, performance testing, and potential ClickHouse adoption while partnering with DevOps and technical leadership.

Builds and manages enterprise data pipelines, transformations, reporting structures, and analytics infrastructure using operational data from Oracle Fusion, SAP, and related platforms. Supports secure, accurate financial, HR, and procurement reporting through Microsoft Fabric and Power BI, including real-time dashboards and historical analysis.

Migrate SQL Server data products and analytical workloads to a modern cloud platform. Redesign legacy SQL, ETL processes, and business logic; build scalable pipelines and analytical models; validate data quality; collaborate with stakeholders; and improve platform reliability, performance, cost efficiency, and AI-assisted data engineering automation.

Design, configure, and operate data governance tooling for unstructured and structured data. Implement metadata cataloging, lineage harvesting, automated data quality checks, and governance workflows. Build prototypes, dashboards, and connectors using Python, SQL, Databricks, and Streamlit. Collaborate with stakeholders to define critical data elements, prioritize remediation, produce documentation, and drive tool adoption via trainings and enablement.

Lead Data Engineer responsible for building technical solutions, collaborating with Agile teams, utilizing big data technologies, and developing cloud-based data warehousing solutions to enhance user experiences.

Lead architecture and delivery of scalable data infrastructure: design and optimize ETL/ELT pipelines, enterprise data models, and data quality frameworks. Define platform standards, mentor engineers, drive cross-functional initiatives, and partner with analytics, data science, and engineering stakeholders to ensure reliable, production-grade data assets.