Top Data & Analytics Jobs

The Data Integration & Pipeline Engineer will build and maintain ETL/ELT pipelines, ensuring efficient data flow, quality, and performance across platforms.

The Lead Data Engineer designs and oversees data systems to facilitate data-driven decisions, collaborating with teams to build scalable data infrastructure and tools.

Lead the data engineering team to design and maintain data pipelines, evaluate technologies, mentor juniors, and ensure system performance and reliability.

Design and implement enterprise visualizations and augmented-analytics capabilities (AI/ML, NLQ, NLG). Lead BI modernization, governance, self-service enablement, Analytics User Communities, and the Analytics Service Catalog. Mentor teams, drive adoption, ensure platform reliability, and align visualization standards with cloud and data architecture.

Design and develop reports and dashboards (Tableau, Power BI, Looker, D3) by partnering with stakeholders. Use SQL to explore and import data, create prototypes, ensure data accuracy through quality checks, optimize BI deliverables, document and train end users, and promote best practices in data visualization and UX.

Build, maintain, and troubleshoot Power BI datasets, semantic models, and reports; prepare and transform data with SQL and Power Query; support Azure data environments and SFTP ingestion; ensure data quality, documentation, and PHI compliance while collaborating with stakeholders across multiple client engagements.

Design, build, and own end-to-end data systems and pipelines powering payments, fraud response, and reporting. Implement streaming and batch integrations, APIs, and workflow orchestration. Define data correctness with monitoring, alerting, and tests. Create reusable patterns and collaborate with stakeholders to clarify requirements and tradeoffs.

Design and deliver scalable, reliable data services and microservices for real-time and batch processing. Build REST APIs, model data across SQL/NoSQL stores, drive data quality, own deployment/monitoring/incident response, set technical standards, and mentor engineers.

Design, build, and maintain scalable data platforms and ETL/ELT pipelines using Databricks/Spark and AWS. Develop backend data services in C#/.NET, ensure data quality and performance, leverage AI-assisted coding tools, collaborate with cross-functional teams, lead technical design decisions, and mentor engineers.

Lead analytics implementations for public safety clients: build and optimize data pipelines, models, Power BI/SSMS/SSRS reports and dashboards; train users, create eLearning and instructional materials, mentor junior engineers, and serve as primary technical SME for crime analytics and customer escalations.

Design, configure, and optimize analytics databases, pipelines, models, reports and Power BI/SSMS dashboards for public safety customers. Train agencies, create instructional materials and eLearning, lead multi-agency implementations, mentor junior staff, and act as technical SME and escalation point. Leverage AI tools to accelerate SQL and dashboard development and collaborate with product and stakeholders to maintain solutions.

Design, build, and maintain data pipelines, models, reports and Power BI/SSMS dashboards for public safety clients. Configure system databases, optimize queries and data models, train agency users, create instructional materials and eLearning, lead multi-agency implementations, mentor junior staff, and serve as the analytics SME and escalation point while ensuring CJIS compliance.

Design, build, and optimize data pipelines, models, reports and Power BI/SSMS dashboards for public safety customers. Lead complex analytics implementations, train agency users, create instructional content, mentor junior staff, and serve as technical SME while ensuring performance, security (CJIS), and customer support.

Lead design, implementation, and optimization of data pipelines, models, reports and Power BI/SSMS dashboards for public safety clients. Configure analytics databases, train agency users, produce instructional materials, mentor junior engineers, and serve as technical SME and escalation point for multi-agency analytics implementations.

Design, build, and maintain data pipelines, models, and Power BI/SSMS reports for public-safety clients; configure system databases, optimize queries, train agencies, create instructional materials, leverage AI tools, lead multi-agency implementations, mentor junior staff, and act as the primary analytics SME and escalation point.

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

The role involves designing and implementing ETL solutions for data integration, conducting testing, and collaborating on data models and architecture documents for a client.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

Design and maintain data systems for business-critical insights, connect data across platforms, build ETLs, and support business data decisions.

The Analytics Engineer will build and maintain analytics data pipelines, support business reporting with dashboards, and ensure data quality.

The Senior Data Engineer will design and develop scalable data pipelines on cloud platforms, optimize performance, support applications, and resolve data issues.

As a Senior Data Engineer, you'll design and build data warehouse solutions, implement ETL processes, and ensure data quality. Collaborate with business users to meet analytics needs and oversee production deployments.

The Principal Data Platform Engineer leads the architecture and development of the enterprise data platform, focusing on analytics, data science, and AI/ML capabilities. They establish standards for data quality and observability, design data ingestion and processing patterns, and mentor team members to enhance technical capabilities.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.