Top Data & Analytics Jobs

Design, build, and maintain scalable relational databases, data warehouses, and integration workflows. Optimize SQL performance, ensure data integrity/security, support reporting/analytics, and collaborate with business stakeholders for timely, compliant reporting and continuity efforts.

Lead end-to-end data integrations with utility customers: scope requirements, map and transform datasets, run and monitor pipelines, triage issues, and productize repeatable tooling to speed implementations.

Leads the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, enterprise data warehouses, and data integrations. Establishes data models, quality standards, governance practices, and documentation while ensuring healthcare data security and interoperability through HL7, FHIR, APIs, and SFTP. Partners with clinical, operational, analytical, and IT stakeholders to deliver reliable data solutions, optimize performance, resolve data issues, and mentor junior staff.

Develop scalable data processing and analytics tools for engineering and business data. Translate stakeholder problems into analytical requirements, build end-to-end ETL and relational data solutions, create user interfaces, perform exploratory analysis, detect trends and anomalies, and communicate actionable insights through effective visualizations and reporting. Collaborate with technical and programmatic teams while following production coding, version-control, and development lifecycle practices.

The description combines recruitment management, event planning, business development consulting, and iOS application development. Responsibilities include developing recruitment strategies, training recruiters, maintaining candidate databases, coordinating events, managing vendors and client relationships, developing sales pipelines, and designing, testing, updating, and maintaining iOS applications.

The description is inconsistent with the title and primarily covers recruitment management, event planning, business development, and iOS application development. Responsibilities include developing recruitment strategies, managing recruiters and candidate databases, coordinating events and vendors, creating business development plans, managing client relationships, and designing, testing, and maintaining iOS applications.

Design and lead scalable data architecture and orchestration systems supporting AI infrastructure and digital marketing platforms. Build production-ready batch and streaming pipelines, transform structured and unstructured data, and integrate sources with Snowflake. Apply sharding, replication, indexing, normalization, and data governance best practices. Develop tools for data scientists and analysts, collaborate cross-functionally, document architectural solutions, and guide teams in delivering secure, reliable, production-ready AI data systems.

Engineers, implements, optimizes, automates, and supports enterprise database and cloud data platforms. Designs secure, highly available solutions across SQL Server, Azure, PostgreSQL, Oracle, Snowflake, and analytical technologies; provides Level 3 production support; leads modernization, cloud migration, performance optimization, disaster recovery, security, governance, and automation initiatives. Partners with architects and operations teams, develops standards and runbooks, troubleshoots critical incidents, supports CI/CD and data integration, and mentors technical staff.

Architect and build batch and streaming data pipelines for scheduling optimization, patient forecasting, machine learning, and real-time decision systems. Design feature stores, data models, orchestration workflows, observability, and reverse ETL processes. Partner with data scientists, operations researchers, and business stakeholders to productionize models and optimization outputs. Provide technical leadership, documentation, and mentorship while ensuring scalable, reliable data systems.

Design and build scalable data engineering and AI agent governance capabilities across major cloud AI platforms. Develop ingestion, processing, ETL, observability, security, lifecycle management, and identity governance features. Evaluate emerging AI agent frameworks and interoperability standards, troubleshoot customer issues, document architecture and processes, and collaborate with engineering, security, compliance, product, and support teams. The role also involves improving distributed data systems, mentoring engineers, and leading technical initiatives.

Designs and maintains pipelines migrating financial data from legacy Oracle databases to Oracle ERP. Develops SQL and PL/SQL transformations, backend integrations, data mappings, reconciliation, testing, monitoring, troubleshooting, and documentation. Partners with accounting, business, and technical stakeholders to resolve issues and support large-scale financial transformation. The role also involves AI tool adoption, code reviews, solution design, deployment activities, governance, communication, mentoring, and project oversight.

Owns end-to-end delivery of governed Power BI reporting solutions. Responsibilities include gathering requirements, designing dashboards and semantic models, developing complex DAX calculations, optimizing performance, implementing security, collaborating on data pipelines and quality controls, and using Git, CI/CD, and Scrum practices to deploy and support analytics products.

Develop and optimize SAP Data Services ETL/ELT workflows integrating SAP and non-SAP systems. Create source-to-target mappings, extraction routines, data cleansing and validation processes, profiling routines, and business-rule transformations. Monitor and troubleshoot job execution and performance. The role requires strong SAP data-model knowledge, advanced SQL, HANA optimization, SAP BW/4HANA, SAP MDG, Information Steward, Unix/Linux shell scripting, and active DoD Secret clearance.

Design, build, and maintain scalable cloud-native data pipelines, microservices, and platforms to support real-time and batch processing. Collaborate with architects and stakeholders to translate requirements, implement AWS-based ingestion/streaming solutions, enforce data quality/testing, and operate observability and CI/CD practices to ensure reliable production data systems for autonomy initiatives.

Design, build, and maintain scalable data pipelines, microservices, and cloud-native data platforms. Implement real-time and batch processing using Python/Java and AWS services, ensure data quality and automated testing, monitor production systems, collaborate with architects and stakeholders, and drive operational excellence and CI/CD deployment for large-scale distributed data environments.

Lead and mentor a data engineering team to design, build, test, and support cloud-based, real-time data platforms and distributed microservices using modern big data, streaming, and data warehousing technologies to deliver scalable customer and enterprise experiences.

Lead Data Engineer responsible for designing data models, implementing data solutions, managing data pipelines, and collaborating with teams to drive technical initiatives.

Lead design, build, test, and support large-scale data pipelines and cloud-based solutions. Collaborate with Agile teams, mentor engineers, optimize performance, and work with ML, streaming, and data warehouse technologies to drive customer acquisition and analytics at scale.

Lead design, develop, test, deploy and support cloud-based data engineering solutions. Work across Agile teams on distributed, real-time and batch data platforms, mentor engineers, and optimize code and data pipelines using big data, streaming, and cloud data warehousing technologies.

Build, operate, and enhance Banc of California’s Azure- and Snowflake-based data platform. Develop batch, CDC, and streaming ingestion pipelines; optimize Snowflake performance; support dbt workloads; implement CI/CD, DataOps, monitoring, automation, and disaster recovery. Provide Tier 2 production support and administer tools including Power BI, Purview, and Alteryx. Collaborate with data engineering, architecture, BI, and business teams to deliver secure, reliable, governed data solutions.

Own the architecture, technical direction, reliability, and evolution of a shared cloud data platform. Lead hands-on development of streaming and batch pipelines using infrastructure-as-code, build governed analytical data products, and establish data contracts, quality, security, lineage, and observability standards. Serve as the final technical escalation point, mentor engineers, lead design and code reviews, promote responsible AI-assisted coding, respond to incidents, and communicate technical tradeoffs across stakeholders.

Leads architecture and engineering standards for Curaleaf’s data and analytics ecosystem. Designs scalable Snowflake environments, ingestion and transformation pipelines, data models, semantic layers, governance, testing, CI/CD, security, and cost optimization. Partners across engineering, analytics, data science, governance, and business teams to build reusable data products, resolve incidents, improve platform reliability, and provide technical direction and mentoring without direct people management.

Lead customer integrations by building warehouse-native or managed ClickHouse pipelines, construct semantic metadata layers, canonicalize source data into unified growth models, and act as the technical lead for enterprise deployments while partnering with AI discovery agents to accelerate onboarding and mapping.

Design and maintain ELT/ETL pipelines and cloud data warehouse models, build Power BI reports, apply AI tools to accelerate data workflows, and partner with business stakeholders to deliver reliable analytics and data governance.

Design, develop, and monitor large-scale data pipelines and cloud-native data applications; collaborate with consulting teams and clients; apply best practices (TDD, CI/CD); build and operationalize ML-ready data platforms; produce documentation and runbooks; mentor junior engineers and contribute to proposals and analytics assets.