Top Data & Analytics Jobs

Design, build, and maintain automated ETL/ELT pipelines to integrate enterprise systems, ensure data quality, and deliver curated business-ready datasets. Develop Python-based data processing, document architectures and workflows, support Palantir and ERP platforms, and collaborate with stakeholders to define requirements and scalable solutions.

Build and maintain AEP data pipelines, CTAS queries, and XDM schemas to populate profile-enabled datasets. Monitor identity resolution and profile hygiene, manage CJA connections and data views, troubleshoot AEP dataflows, and document data governance and segmentation practices to support customer experience activation.

Build and operate streaming and batch data pipelines for energy-storage telemetry. Design reliable, query-ready time-series and event datasets using open table formats, orchestration frameworks, AWS, and infrastructure-as-code. Lead technical designs, partner with field operations and engineering teams, support on-call operations, and mentor engineers while improving data reliability and engineering practices.

Lead design and build scalable data processing and control-plane solutions on Databricks/AWS. Develop Python/PySpark/SQL pipelines, APIs/SDKs, governance, observability, CI/CD, and operational runbooks. Mentor engineers, drive adoption of AI-assisted development, and ensure data quality, security, lineage, and platform reliability.

Lead end-to-end design, development and deployment of data warehouse and reporting solutions for public/private loan, CLO and credit trading desks. Collaborate with portfolio management, operations and finance, manage offshore teams, integrate vendor products, build monitoring tools, and enhance dashboards and data access using Microsoft BI and data platform technologies.

Designs, builds, and maintains scalable data infrastructure, streaming and batch pipelines, and data products. Works with stakeholders to model, transform, and deploy data solutions using cloud, streaming, and ETL frameworks while ensuring governance, observability, and automated CI/CD deployments.

Develop interactive dashboards, visual analytics platforms, and automated reports for SATCOM, network operations, engineering, and operational data. Integrate machine learning model outputs into user-facing interfaces, including predictions, confidence intervals, explainability, and performance metrics. Establish visualization standards, guide technical architecture, collaborate across engineering and data science teams, mentor junior staff, and present findings to customers and senior leaders.

Design, develop, and maintain Omni-based dashboards, visualizations, and reporting solutions. Manage data products throughout their lifecycle, ensure data quality and standardization, recommend scalable analytics approaches, and translate business needs into trusted data solutions. The role also provides training, ongoing support, enhancements, and subject-matter expertise in data visualization and reporting best practices.

Build and maintain Snowflake and dbt data platforms, including ELT pipelines, tested models, orchestration, monitoring, documentation, access controls, and governance. Optimize performance and costs while ensuring reliable, discoverable data for internal dashboards, client products, and AI/ML use cases. Translate ambiguous stakeholder needs into durable solutions and apply strong software engineering practices, including Git, CI/CD, code review, Python, testing, and alerting.

Design and maintain pipelines and tooling to ingest, validate, model, and serve multi-modal driving data for ML training, evaluation, and debugging. Collaborate with ML, vehicle software, curation, and fleet teams to scale the data stack and make datasets discoverable and queryable.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

Design, build, and maintain data pipelines, ETL processes, and data warehousing solutions using Python and GCP/BigQuery. Ensure data quality, optimize storage and processing, support new data products, and mentor junior engineers while collaborating with the CTO and team.

Design, develop, and maintain scalable data pipelines, ETL processes, and BigQuery/GCP-based data storage. Ensure data quality, implement monitoring, assist product launches, mentor junior engineers, and collaborate closely with the CTO and team.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

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.