Top Data & Analytics Jobs

Build and scale data pipelines supporting Vehicle Configuration Optimization. Ingest and transform Snowflake data into Databricks using Bronze, Silver, and Gold medallion layers. Develop Python and SQL ETL/ELT workflows, monitor pipeline health, optimize performance, and implement data quality and governance controls. Partner with data scientists, analysts, and stakeholders to produce curated datasets for analytics, simulation, and machine learning.

Data Engineer Interns will support analytics platform enhancements, data modeling, data exploration, pipeline maintenance, troubleshooting, optimization, documentation, and stakeholder collaboration. The role focuses on building data products, supporting AI-enabled analytics, and translating business needs into data requirements. Candidates should be enrolled in a quantitative degree program and have foundational knowledge of business intelligence, databases, data modeling, SQL, and data visualization.

Own and improve Vanta’s engineering, product, and design data systems by onboarding signal sources, standardizing data at ingestion, mitigating failure modes, and ensuring information is trustworthy and queryable. Build pipelines, internal tools, prototypes, and AI-enabled solutions; replace manual processes with engineering controls; collaborate with data producers and consumers; and help teammates develop their technical building skills.

Build dbt and SQL data models, strengthen replication and orchestration pipelines, investigate data issues, add quality checks, and create datasets and dashboards for internal reporting and client-facing analytics. The role involves hands-on data engineering, pipeline reliability, reporting, code reviews, and growing ownership within a healthcare and life sciences data environment.

Manages reporting and analytics operations, teams, workflows, critical business intelligence reports, and performance metrics. Leads data process improvements, requirements analysis, systems development, testing, reporting projects, and process re-engineering. Uses SQL, data warehouses, QlikView, Tableau, and related tools to support operational, financial, quality, compliance, and strategic decisions. Mentors staff, manages priorities, monitors risks, and partners with business leaders and clients.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

Develop and maintain scalable data pipelines and infrastructure using GCP services including BigQuery, Dataform, and Airflow. Optimize data processing for performance and cost, implement data quality testing, build data models and reusable components, and establish CI/CD practices. Collaborate across teams, contribute to architecture and documentation, mentor junior engineers, and apply AI tools to improve engineering workflows.

Creates and maintains complex database reports, data extracts, and Power BI dashboards for court staff and programs. Documents reporting requirements, analyzes business data needs, performs functional testing and validation, troubleshoots SQL and database issues, improves stored procedures, and supports report deployment. Collaborates with stakeholders and database administrators to develop reporting solutions and provides dashboard guidance to judicial staff.

Produce Salesforce-based sales analytics and reporting to improve forecast accuracy, pipeline visibility, territory coverage, and sales productivity. Build dashboards, track conversion and cycle metrics, maintain CRM data quality, support quota and territory planning, and present insights to sales leadership.

Own the end-to-end architecture of Opiniion’s data platform, including ingestion, transformation, storage, semantic layers, governance, lineage, and quality. Partner with the Staff Software Architect on a new platform while evolving the existing foundation. Design data models and statistical insights, support BI and AI/ML use cases, guide platform investments, and mentor data engineers. The role is hands-on and requires strong Databricks, SQL, Python, distributed processing, cloud, and modern data architecture expertise.