Top Data & Analytics Jobs

Build and maintain large-scale data structures, pipelines, and ETL workflows; design databases, data marts and models; integrate data science models; optimize Hadoop/Spark queries; ensure data quality and accessibility; test, troubleshoot, and recommend tooling for analytics and reporting use cases.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Integrate data for analytics and Data Science, optimize Hadoop/Hive workflows, write application code, test and troubleshoot systems, and recommend tools and solutions to meet business requirements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Integrate and operationalize ML models, optimize Hadoop/HDFS workflows, ensure data quality, and collaborate with data science to support analytics and reporting needs.

Design, build, and maintain large-scale data architectures and ETL pipelines using Hadoop, Spark, and cloud platforms. Collaborate with Data Science to operationalize models, ensure data quality, troubleshoot systems, and recommend tools and solutions to support analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models to support analytics. Develop real-time and batch processing using Hadoop, Spark, Airflow, SQL, and GCP; integrate Data Science models into production; ensure data quality and accessibility; troubleshoot, optimize, and recommend tools to support modernization and reporting needs.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for analytics. Integrate data from multiple sources, optimize queries, ensure data quality, and collaborate with Data Science to productionize models. Work with Hadoop/HDFS/Hive, cloud platforms, and programming languages to support reporting and analytic products.

Build and manage large-scale data structures, pipelines, and ETL workflows; design databases and data models; integrate data science models; ensure data quality and accessibility; optimize Hadoop-based and cloud data solutions to support analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, data marts and models for analytics. Integrate data sources, ensure data quality, optimize Hadoop/Spark workflows, collaborate with Data Science to operationalize models, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts for real-time and batch analytics. Collaborate with Data Science to productionize models, ensure data quality and accessibility, troubleshoot systems, and recommend tooling and architecture improvements.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts. Collaborate with Data Science to operationalize models, perform SQL/Python analysis, optimize BigQuery queries, ensure data quality, and support analytics and modernization initiatives across healthcare and retail domains.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models to support analytics and reporting. Collaborate with Data Science to operationalize models, optimize Hadoop/HDFS workflows, ensure data quality, and deploy backend services into production.

Design, build, and maintain large-scale data structures and ETL pipelines using Hadoop/Hive, SQL, Python/Java. Support real-time and offline analytics, create data marts/models, integrate data sources, ensure data quality, collaborate with Data Science, and produce reporting/BI outputs.

Design, build, and maintain large-scale data structures, ETL pipelines, and data architectures. Integrate data sources, ensure data quality and accessibility, support data science and analytics, optimize Hadoop/HDFS workflows, and collaborate on backend services and ML infrastructure.

Build and manage large-scale data structures, pipelines, and ETL workflows; design databases and data marts; integrate data for analytics and Data Science; optimize Hadoop/Spark and cloud environments; collaborate with Data Science to operationalize models; test, troubleshoot, and recommend tooling. Hybrid role near Irving, TX.

Design, build, and manage large-scale data structures, ETL pipelines, and data marts. Implement real-time and batch processing, ensure data quality and accessibility, integrate models with automated pipelines, optimize Hadoop/HDFS queries, and recommend tools and solutions to support analytics and Data Science needs.

Design, build, and maintain large-scale data structures, pipelines, and ETL workflows. Integrate data from varied sources, ensure data quality and privacy, collaborate with data science to operationalize models, optimize queries and Hadoop-based systems, and support analytics, reporting, and modernization initiatives.

Design, build, and manage large-scale data structures, ETL pipelines, and data marts to support analytics and data science. Integrate data from varied sources, ensure data quality and accessibility, optimize Hadoop/HDFS workflows, collaborate with data scientists to operationalize models, and recommend tooling and architectures to meet business needs.

Design, build, and manage large-scale data structures, ETL pipelines, and data architectures for analytics and reporting. Integrate data science models, ensure data quality and interoperability, troubleshoot systems, and recommend tooling and solutions to support analytics and business applications in a healthcare environment.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models. Integrate data sources, ensure data quality and accessibility, support analytics and Data Science (including MLOps), optimize queries and distributed systems, and recommend tooling and architecture improvements for healthcare-related large-data environments.

Design, build, and manage large-scale data structures, ETL pipelines, and data marts to support analytics and Data Science. Develop real-time and batch processing using Hadoop/HDFS and cloud (Azure), integrate diverse data sources, ensure data quality, and collaborate with cross-functional teams to operationalize models and reporting for healthcare and retail domains.

Administer, tune, patch, and maintain Oracle databases across dev, UAT, and production. Manage RAC/ASM, migrations, backups, monitoring, performance and disaster recovery. Create DB objects, schedule admin jobs, resolve production incidents, and document environments, standards, and procedures.

Design, build and maintain large-scale data structures, ETL pipelines, and data marts to support analytics. Integrate data science models into production, optimize Hadoop/Spark-based workflows, ensure data quality, troubleshoot systems, and collaborate with data science and stakeholders to deliver insights.

Design, build, and maintain large-scale data structures, ETL pipelines, and data models. Integrate data sources, ensure data quality, support analytics and Data Science, optimize big data processing, and recommend tooling and solutions.

Design, build, and maintain large-scale data pipelines, ETL workflows, and data models. Integrate analytics and ML models, optimize Hadoop/Hive systems, ensure data quality, and support cloud-based modernization for analytics and reporting.

Design, build, and maintain large-scale data structures, ETL pipelines, and data marts to support analytics and data science. Integrate models into automated workflows, optimize Hadoop and cloud-based systems, ensure data quality and accessibility, and recommend tooling and solutions to solve complex business problems.