Top Remote Senior Level Data Management Jobs in Dallas, TX

Design, build, and maintain cloud-based ELT data pipelines and analytics-ready datasets using Snowflake, dbt, and integration tools (Fivetran/Airbyte). Implement CDC and incremental loading, optimize Snowflake performance, enforce data quality and monitoring, create dimensional models for reporting, enable CI/CD for dbt projects, and collaborate with analytics and stakeholder teams to support reporting and advanced analytics.

Bridge enterprise customers' legacy BI to Hightouch by reverse-engineering complex marketing reports, building reusable reporting frameworks, engineering and documenting semantic/context layers, ensuring accurate SQL generation, and training non-technical marketers while collaborating cross-functionally to deliver reliable, idempotent AI-driven analytics.

Perform Ukrainian- and English-language open-source research and document review to assess KYC, sanctions, AML, and supply chain risks. Use Exiger's DDIQ and shipping databases to identify risk-relevant information, produce client-ready narratives, onboard and train users, and advise on tool usage. Support U.S. government clients with timely, accurate due diligence and risk assessments.

Lead full-stack analytics at Air by designing and maintaining dbt models and BigQuery transformation layer, ensuring data quality and observability, owning ingestion/orchestration, building self-serve BI (Mode/Hex) and AI-native interfaces, and partnering with product, growth, and GTM teams to deliver trusted data products and strategic insights.

Design, build, and maintain scalable data pipelines, data models, ETL/ELT, and BI solutions. Collaborate with data scientists and stakeholders to improve data quality, accessibility, and PHI security. Develop and document workflows, optimize processing/storage, support data warehouse and visualization, and adopt AI tools to drive data-informed outcomes.

Build and maintain scalable monitoring solutions and dashboards to track production, campaign, and operational data. Analyze large-scale datasets to detect anomalies, perform root-cause investigations with Engineering and Production Operations, and deliver actionable insights to improve platform reliability and operational efficiency.

Lead analytics work across operations, finance, clinical quality, and BD. Build and maintain BI tables and dashboards, ensure metric accuracy, run operational and growth analyses, support financial forecasting and partner reporting, and deliver ad-hoc analyses to improve efficiency, patient experience, and strategic decisions.

Lead end-to-end encounter data management for CMS/state Medicaid submissions. Validate and optimize ETL converting source data into HIPAA X12 837P, support regulatory audits, analyze trends and root causes, liaise across business/technical/operations teams, and recommend process improvements to ensure compliance and data integrity.

Own and evolve the analytics engineering platform: design and maintain certified dbt models, enforce modeling/testing/documentation standards, build semantic and metadata layers, optimize Snowflake performance, partner with analysts and data engineering to migrate business logic and ensure reliable, AI-ready analytics, and mentor teammates on analytics engineering best practices.

Support Maui post-disaster recovery by managing and developing project data systems, building backend database structures, updating website front-ends, and producing internal and external data metrics and visualizations to inform project leads, improve forecasting, and enable transparent, resilient infrastructure decision-making.