Data Engineer

• Design, develop, and maintain scalable data pipelines and architectures for business analytics and machine learning
• Extract, transform, and integrate data from internal and external sources
• Ensure data quality, accuracy, accessibility, and relevance
• Collaborate with stakeholders across Walmart/VIZIO to translate business requirements into data solutions
• Develop and optimize logical and physical data models
• Implement data governance practices and regulatory compliance
• Use SQL, Python, Spark, and Apache Airflow for coding, testing, and deployment
• Monitor and improve data processes
• Design highly scalable, fault-tolerant infrastructure processing millions of operations per minute and petabytes of data
• Build event streaming applications and systems handling massive data volumes
• Bring enterprise data into the Big Data ecosystem
• Monitor data quality, fix discrepancies, perform validation and root-cause analysis, and implement data preparation and cleanliness
• Review data at granular and aggregate levels and manage versioning

Senior Data Engineer

• Design, build, and maintain core data pipelines and infrastructure for analytics, experimentation, machine learning, AI fine-tuning, and agentic use cases
• Own data architecture decisions for ingestion, transformation, storage, and serving layers
• Establish and enforce data quality, observability, reliability, SLA, monitoring, alerting, and incident response standards
• Partner with analytics, data science, and product engineering teams to translate data needs into reusable models and pipelines
• Lead technical initiatives and data engineering best practices, including code quality, testing, documentation, and data contracts
• Ensure compliance with privacy, security, and regulatory requirements for sensitive mental health and healthcare data
• Mentor and support data engineers through technical guidance and design feedback
• Support evolving platform needs and ad-hoc projects
• Take ownership of critical pipelines or platform components and improve reliability and clarity
• Influence platform direction and raise engineering standards across the data organization

Senior Staff Data Engineer

• Implement data engineering activities on mission-driven projects
• Deploy and develop pipelines and platforms that organize disparate data and make it available and meaningful
• Work with data engineers, developers, and data consumers in a fast-paced, agile environment
• Organize structured and unstructured data from disparate sources
• Support data use for mission-driven outcomes

• Define, govern, and evolve enterprise data architecture supporting analytics, reporting, operational intelligence, artificial intelligence, and emerging data-driven capabilities
• Develop and maintain the enterprise data architecture roadmap
• Establish target-state architectures for analytics, reporting, AI, and operational workloads
• Lead Microsoft Fabric architecture and governance, including OneLake, Lakehouse, Data Warehouse, Fabric Data Factory, semantic models, and security
• Define standards for dimensional modeling, Data Vault, fact and dimension design, and slowly changing dimensions
• Establish ETL/ELT architecture standards across Azure Data Factory, Fabric Data Factory, SSIS, and Pentaho
• Create governance frameworks for data quality, lineage, metadata, security, privacy, and compliance
• Define AI-ready data architecture patterns and support AI, machine learning, and generative AI initiatives
• Conduct architecture reviews, mentor engineers, and establish reference architectures
• Promote Specification-Driven Development and architecture-first practices
• Define and execute enterprise data architecture strategy
• Establish Microsoft Fabric as the strategic analytics platform
• Create reusable architecture patterns and improve enterprise data quality, governance, security, and reliability
• Standardize warehousing, ETL/ELT, and analytics architecture practices
• Enable scalable AI and advanced analytics solutions
• Lead modernization from legacy environments to Microsoft Fabric
• Work on a team leading adoption of Microsoft Fabric and AI-enabled data engineering capabilities

Data Engineer jobs in Colorado

Senior Data Engineer

Senior Staff Data Engineer

Data Engineer

Lead Application & Data Architect