Top Data & Analytics Jobs

Responsible for developing dashboards to provide visibility on project milestones, automating business processes, and supporting dashboard maintenance.

Design and build scalable ETL pipelines and real-time dashboards from telemetry and user data. Integrate AI/ML insights, combine internal and external data sources, ensure data quality, and support cross-platform (Android, iOS, macOS, Windows) AI integration to improve consumer protection products and operational monitoring.

The Senior Data Engineer will develop scalable data pipelines, manage data warehousing solutions, troubleshoot data pipeline performance, and apply data science techniques while ensuring data quality.

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

Responsible for utilizing Hortonworks architecture and tools such as Hadoop and Spark for data analysis and engineering tasks. Candidates should have relevant experience and may be considered for contract-to-hire roles.

The Senior Data Quality Specialist will develop data quality rules, implement cloud-based solutions, and analyze data accuracy, leading projects and collaborating with teams.

Design, build, and maintain Snowflake data models, warehouses, and ELT/ETL pipelines; develop backend services in Python and C#; manage CI/CD and deployments; troubleshoot production issues; collaborate with clients and mentor junior engineers.

The Sr. Data Engineer will develop data pipelines, automate data processing, collaborate in Agile teams, and ensure data extraction reliability while adhering to engineering principles.

The Sr. Data Engineer will manage data pipelines, develop ETL processes, support continuous automation, ensure data reliability, and work collaboratively in Agile teams to meet client needs.

The Data Engineer/Scientist extracts insights from complex data sets, optimizes algorithms, ensures data quality, develops BI solutions, and mentors junior team members.

The Data Engineer will design and develop data pipelines for quality monitoring, assess data integrity, and build web applications supporting user validation and analysis.

Lead modernization and operation of Dutch Bros' data platform: design, build, and maintain scalable Snowflake-based data pipelines and infrastructure, enable real-time ETL/ELT, support analytics and ML workflows, implement CI/CD and IaC, ensure data governance and security, and communicate technical solutions to stakeholders.

Design and implement scalable data warehouse solutions integrating client data with the Ignite platform. Lead SQL Server to Databricks migrations, translate and optimize Spark SQL, build and maintain dbt data models, validate data quality, communicate status to stakeholders, and provide knowledge transfer and onboarding for client and internal teams.

Design and automate data validation and testing across ETL/ELT pipelines during migration to Microsoft Fabric. Build automated data quality frameworks, embed tests into CI/CD, validate Medallion layers, perform performance/load testing, and configure alerting and incident triage to ensure data integrity for analytics consumers.

The Senior IT Data Engineer will design and implement enterprise data architectures, develop scalable ETL/ELT pipelines, and support data-driven initiatives for the Federal Reserve Board.

Build and operate production data infrastructure: ingest, transform, and route large-scale streaming and batch data from heterogeneous enterprise sources; design ontology/semantic models and tuple/graph representations; ensure isolation, data quality, observability, and low-latency delivery for ML and product teams.

As a Senior Data Engineer, you will design and maintain data pipelines and warehouse architecture, ensure data quality, and partner with cross-functional teams.

As a Staff Data Engineer, you will design and deliver data-driven solutions, focusing on AI agents and scalable data pipelines, while collaborating with various teams.

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

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.

The Senior Data Engineer will develop and maintain data reporting stacks, manage data services, and collaborate with stakeholders to design data solutions.

As a Sr Data Engineer, you'll design and optimize data pipelines for marketing insights, working with cross-functional teams to support data governance and performance measurement.

The Senior Data Engineer will design and operate the data platform, build ELT/ETL pipelines, optimize data performance, and ensure data quality while collaborating with business teams.

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.