Top Data & Analytics Jobs

The Data QA Engineer is responsible for ensuring data quality through automated testing frameworks, SQL queries, and collaboration with analytics teams.

Lead design and build scalable data pipelines, data models, and ETL/ELT workflows. Mentor data engineers, set coding standards, improve data architecture and tooling, partner with Product and Platform teams, and deliver monitoring, data quality, and automation to support Data Operations.

Design, build, and maintain scalable data lakehouse platforms and ELT pipelines. Improve engineering practices, develop automation/tooling, monitor performance, reduce costs, and support platform modernization across Azure and cloud data technologies.

Lead design and implementation of large-scale data pipelines, ETL, and warehousing. Build and manage databases, ensure data quality/security, collaborate with analysts and scientists, evaluate new technologies, mentor junior engineers, and manage project delivery.

Lead and own the companys SQL Server data warehouse, replication, ETL/ELT pipelines, and Power BI analytics. Design relational models, optimize performance, establish data governance, and partner with business teams to deliver accurate, scalable reporting and semantic models.

Design, build, and maintain data architectures, ETL pipelines, and data models to enable analytics across Marketing, Finance, Sales, and Logistics. Implement integrations from cloud sources, secure API connections, perform large-scale data mining and entity resolution, translate algorithms into code, and use SSIS and BI tools to deliver reliable reporting and dashboards.

Support CBP Power Platform by developing and maintaining Power BI dashboards, cleaning and analyzing data, managing Excel/SharePoint/SQL data structures, building ETL processes to migrate legacy data to modern databases, and replacing legacy ETL tools with Power Automate. Present findings to stakeholders.

Lead design and delivery of cloud-native lakehouse and data product solutions for Supply Chain. Architect and build ingestion pipelines and ETL using AWS (Glue, S3, EMR, Lambda), Apache Iceberg, Redshift, and Spark. Implement Medallion Architecture and data mesh principles, translate SAP/Blue Yonder data into governed analytics-ready products, enforce metadata, lineage and data quality, and lead a technical engineering team while partnering with business stakeholders.

Lead design and implementation of CDC-based real-time and batch data pipelines, own Snowflake warehouse strategy, implement IaC for the data platform, build reporting layer, define data quality/monitoring, collaborate with product and engineering, and mentor engineers while evolving platform architecture and introducing new technologies.

Design, build, and maintain ETL/ELT data pipelines and domain-oriented data products to support a Digital Thread. Ensure data quality, governance, mapping, and discoverability. Apply software-engineering practices (version control, testing, CI/CD, IaC) for production deployments. Integrate manufacturing and operational systems and prepare AI/ML-ready datasets for analytics and predictive use cases.

Design, build, and operate data services and pipelines to ingest, standardize, and deliver clinical data for product, analytics, and ML. Tune Spark workloads, enforce data quality, monitor production systems, and partner with product and engineering. Participate in on-call support.

Own and modernize the legacy SQL data estate: support and stabilize SQL Server databases, design HA/DR and recovery plans, build resilient ELT pipelines from sources including SAP, create analytics-ready data models for BI/AI, operationalize data governance and privacy (GDPR/CCPA), and mentor DBA succession while delivering documentation and runbooks.

As a Senior Data Engineer, you'll build ETL pipelines, design data ingestion systems, and maintain a multi-cloud ecosystem while collaborating with Data Scientists to transform data into business insights.

The Senior Data Engineer will develop data pipelines, analyze geospatial data, implement quality assurance processes, and support database synchronization with APIs, contributing to climate risk financial modeling.

As a Lead Data Engineer, you will architect data foundations for AI applications, lead a team, optimize data pipelines, and ensure data governance.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

The Data Architect/Data Governance Lead supports the Medicaid Enterprise Data Warehouse by leading data architecture, metadata management, and governance processes, ensuring compliance and scalability.

As a Sr. Data Engineer at Lyra Health, you will build and scale core data infrastructure, design data warehouses, and create efficient data pipelines while collaborating across departments.

Roku seeks a Senior Data Engineer to develop scalable data pipelines, optimize data quality, and maintain big data platforms, requiring extensive SQL and Python knowledge.

Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.

In this role, you will design data architecture, lead integration strategies, mentor engineers, and drive AI infrastructure for cross-division data systems.

The Senior Data Engineer will design and optimize data services and pipelines, manage data quality, and collaborate with cross-functional teams to enhance data-driven decision-making.

Lead design and evolution of Archer's data warehouse/lakehouse architecture, define modeling and governance standards, partner with stakeholders to build reusable data models, optimize storage and compute, and maintain production-grade, reliable ETL pipelines.

Implement Redpoint Customer Engagement Hub and RPDM ETL, data hygiene, and identity resolution. Build data ingestion/automation, troubleshoot client implementations, collaborate with development and project teams, and support product feature identification.

Lead design, development, testing, and deployment of complex, high-performance Tableau dashboards for media metrics. Architect scalable Tableau data sources with cloud warehouses, translate advanced models into visualizations, establish visualization standards, collaborate with data engineers/scientists, manage stakeholders, and mentor junior developers. Build and support a BI portal, integrate Tableau APIs and backend AI agents, and ensure performance and governance for large datasets.