Top Data & Analytics Jobs in Denver & Boulder, CO

Build and optimize enterprise data warehouses, data lakes, and scalable batch and streaming pipelines. Support Snowflake and Databricks ecosystems, resolve ETL/ELT bottlenecks, automate workflows with Airflow and Control-M, and manage AWS-based infrastructure. Develop production-grade Python, SQL, and shell solutions while applying DevOps, CI/CD, IaC, and data modeling practices. Lead incident management, root cause analysis, operational metrics, and Agile collaboration with data and platform teams.

Build and maintain executive, sales, and departmental dashboards; consolidate data from multiple sources; automate recurring and ad hoc reporting; analyze SQL queries and scripts to identify trends and outliers; and recommend business improvements. The role also coordinates data quality assurance, resolves reporting errors, collaborates with stakeholders, and applies AI tools to streamline data exploration and reporting workflows.

Designs and leads enterprise data architecture modernization across cloud and lakehouse environments. Responsibilities include data modeling, Medallion architecture, storage tiering, vector databases, RAG, semantic layers, query and compute optimization, governance, access controls, lineage, integration, and compliance. The role partners with architecture, engineering, and business teams to deliver scalable, secure, highly available data assets and supports AI initiatives.

Design and optimize ETL processes, data ingestion systems, streaming applications, and cloud data architectures using SQL, Python, Snowflake, AWS, and Redshift. Maintain and troubleshoot production data pipelines, integrate analytical outputs with business intelligence applications, optimize queries, and collaborate with analysts and engineers using Airflow and Databricks. Evaluate AI tools and emerging technologies to improve data warehouse workflows.

Design, migrate, and optimize real-time data pipelines into Databricks and SQL Server, build high-performance SQL workflows, create Tableau dashboards, develop sales projection models, integrate generative AI for transcript/coaching automation, and enforce data cleansing and auditing for Direct Sales leadership.

Build and maintain automated, AI-powered billing and credit reports and forecasting models. Migrate legacy workflows into scalable pipelines, collaborate cross-functionally, develop generative AI prompts and models, and deliver executive-level insights to improve billing operations.