Top Data & Analytics Jobs

The role involves developing and deploying advanced analytics solutions for manufacturing, utilizing machine learning and statistical techniques to optimize processes and support decision-making.

The Lead Data Engineer oversees application system implementation and development, ensuring compliance and user support while guiding less experienced staff.

The Data Infrastructure Engineer will build and operate data platforms for AI/ML analytics, focusing on data pipelines, lakehouse architecture, governance, automation, and CI/CD for data workflows.

Develop and support cloud-based data analytics architecture, including Power BI reports and dashboards. Collaborate with stakeholders to ensure accurate data integration and reporting solutions.

Data & Analytics Engineer at MojoTech, working with clients to define data requirements and deliver analytics solutions and pipelines. Requires 3+ years experience.

Establish and own the data analytics foundation for a GPU marketplace: define metrics, build data pipelines and dashboards, ensure data correctness, and deliver actionable insights to leadership.

Design and deploy scalable data infrastructure and models, maintain CDC pipelines, build reporting tools and dashboards, write high-performance SQL, partner with product and engineering to enable enterprise-wide analytics and data-driven decision making.

Manage ETL processes, integrate data, optimize databases, and ensure data quality for analytics, supporting operations and maintenance projects.

Develop and implement scalable data solutions, automate workflows, build databases and applications, perform data mining, NLP, and machine learning on structured and unstructured data, create dynamic visualizations and reports, write queries and ETL pipelines, and consult with government stakeholders to improve data-driven decision making and processes.

The Data Reliability Engineer ensures data integrity by developing automated QA systems, complex SQL validators, and performing root cause analysis to trace data issues.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

Design and implement enterprise Databricks/AWS data platform and lakehouse solutions for healthcare data. Build and optimize ETL pipelines (Delta Live Tables), medallion architectures, streaming and batch processing, data models (FHIR/OMOP), governance (Unity Catalog), security for PHI/PII, IaC with Terraform, and collaborate with cross-functional teams to deliver reliable, cost-effective external and internal data products.

The Data and Analytics Engineer will build and maintain scalable ELT pipelines, leveraging data for analytics and reporting within the Snowflake data architecture.

The Senior Data Engineer will design, implement, and optimize scalable data solutions, working with data pipelines and collaborating with cross-functional teams in healthcare.

The role involves designing and building data pipelines using Azure and Snowflake, ensuring compliance in a GxP environment, and supporting data governance initiatives.

The Director, Staff Data Engineer is responsible for overseeing data engineering activities, building data pipelines and systems, and ensuring data governance and engineering standards. This includes mentoring team members and leading technical challenges.

Responsible for designing, developing, and maintaining scalable data pipelines and infrastructure, implementing data governance, and collaborating with teams to meet data needs.

As a Senior Data Engineer, you will design, build, and maintain scalable data pipelines, ensuring data quality and governance for investment operations.

The Senior Data Engineer designs scalable data solutions to harmonize data across various ERP systems, implementing ETL/ELT pipelines and ensuring data quality and governance.

The Senior Data Engineer will build and manage data pipelines in Snowflake, integrate AI systems, and ensure data security and optimization while collaborating across teams to support revenue analytics.

The Data Solution Engineer will design and implement data solutions, automate data processes, and enhance data scalability while collaborating with cross-functional teams to improve data efficiency and quality.

The Senior Data Engineer will focus on pipeline migration and operational stabilization in a remote setting, working with Snowflake and dbt.

The Senior Data Engineer will design scalable data processing frameworks using Java and Apache Spark, manage data pipelines, and mentor junior engineers.

As a Senior Data Engineer, you'll optimize and maintain data platforms, develop integrations, and collaborate cross-functionally to enhance analytics and decision-making capabilities.

As a Senior Data Engineer, you'll design and deploy data systems, mentor developers, and create scalable data solutions in the cloud.