Top Remote Senior Level Data Management Jobs in Dallas, TX

Design, build, modernize, and maintain operational and analytical data capabilities for Wealthscape Reporting, Analytics and Insights. Perform solution design, data analysis, ETL development, and production rollouts using Snowflake, AWS, cloud databases, and CI/CD pipelines. Collaborate across teams in a fast-paced financial services environment.

Lead data strategy, architecture, and governance. Design and oversee data lakes, warehouses, and ETL/ELT pipelines. Support analytics, ensure data quality/security/compliance, evaluate data technologies, and mentor a team of engineers, analysts, and scientists.

Design, build, test, and maintain high-performance Python data applications and backend services. Lead technical design, review code, mentor junior engineers, integrate with databases and cloud services, optimize performance, and ensure security, scalability, and reliability.

The Senior Systems Analyst will design systems based on project requirements, manage technical support initiatives, prepare documentation, and conduct user training. They will collaborate with governmental personnel to meet IT needs and ensure quality control in deliverables.

Lead design, operation, and reliability of production data pipelines in a multi-terabyte Snowflake environment. Translate client requirements into dimensional models, debug and remediate pipeline failures, evolve the data mart for event-driven and AI workflows, and improve pipeline trustworthiness via testing, CI/CD, audit logging, and documentation.

The Senior Manager of Data Engineering will lead a team, manage data platforms, drive modernization, oversee budgets, and ensure data solutions are scalable and reliable.

Lead analytics and reporting for the Federal Employee Program (FEP). Design datasets and reports, analyze complex business problems, provide strategic insights, verify report accuracy, and partner with cross-functional teams to deliver actionable recommendations.

Lead the design and migration of a data platform architecture. Manage data pipelines, mentor teams, and ensure platform reliability.

Lead technical onboarding and integration of clinical and claims data, manage EMR/API/SFTP integrations, design data flows and documentation, perform data QA/validation, troubleshoot issues, and manage go-live and post-implementation support.

Lead Tableau data visualization strategy: design and optimize high-performance dashboards, establish governance and best practices, mentor teams, enable adoption, and partner with data teams for robust models and performance.

Design, build, and maintain scalable semantic 360 data models and transformation pipelines. Implement cleansing, enrichment, business rules, KPIs, and scoring algorithms using SQL and Python/Scala. Employ AI coding assistants and modern AI engineering practices to accelerate development while ensuring traceability, data quality, performance, and alignment with product and analytics needs.

The Lead Data Analyst analyzes audience behavior and content performance on streaming platforms, providing insights to drive product strategy and business decisions through data analysis and reporting.