Top Data & Analytics Jobs in Dallas, TX

Design, build, test, and maintain scalable batch and real-time data pipelines and applications. Ensure production readiness, reliability, security, and performance. Drive DevOps/DataOps practices, troubleshooting, monitoring, and continuous improvement. Collaborate with product, architecture, engineering, and business stakeholders to translate requirements into technical designs and deliver data products supporting analytics and AI use cases.

Lead data engineering efforts within Identity and Access Management to design, build, and deploy cloud-native data solutions on AWS, automate integrations, implement database management and CI/CD, mentor engineers, and improve operational efficiency and user experience.

Lead and maintain print communication data processes: design and test ETL and SQL, produce post-production reporting and vendor scorecards, detect and remediate data issues, document processes, mentor junior analysts, and collaborate with business partners and vendors.

Perform spatial analysis, produce maps and analytical products, manage geodatabases, build interactive web maps and dashboards using ArcGIS Online, incorporate field and as-built data, maintain GIS layers for utilities, and follow QA/QC processes to support infrastructure planning and regulatory reporting.

The Data Scientist will design and deploy machine learning models, manage the full model lifecycle, build scalable data pipelines, and drive innovation through advanced analytics to solve complex business problems in insurance.

Design, define, and implement data quality management for Customer MDM. Analyze and integrate MDM processes with Sales, Marketing, Support, and Finance systems. Perform data cleansing, standardization, matching/merging, reporting, and statistics using SQL and Excel.

Support data-driven activities across the bank: build, automate, and maintain reports and dashboards; analyze large datasets; meet business units to understand processes; identify and automate process improvements; communicate findings to senior management.

Contract Datastage developer to design and develop ETL solutions, process high-volume jobs, perform data analysis and management, automate processes, perform causal analysis, identify risks/mitigations, and work with globally distributed teams using DB2/Oracle/Teradata, UNIX/Linux shell scripting and Autosys.

Support creation, maintenance, and quality of master data across ERP and business systems. Perform data validation, cleansing, governance, integrations monitoring, reporting, documentation, project testing, and basic end-user support.

Lead design, build, and operate scalable AWS-based data pipelines and real-time ingestion for analytics and ML. Implement data modeling, automated validation, observability, and event-driven architectures; mentor engineers and collaborate with Product and ML teams to productionize feature stores and ML-ready datasets.