Data Engineer

Role : Data Engineer Location : Denver, CO (HYBRID) Preferred Employment: OPEN FOR W2 Job Overview The Data Engineer builds and optimizes scalable data pipelines using AWS, Databricks, and Snowflake. This role focuses on transforming complex data into trusted, analytics-ready datasets while ensuring performance, reliability, and cost efficiency. This role will collaborate with business teams to deliver actionable insights; strong written and verbal communication is required. Job Responsibilities: Design, develop, and maintain data pipelines using AWS Redshift, Databricks, and Snowflake Ingest, transform, and curate data from multiple sources Optimize solutions for performance, reliability, scalability, and cost Implement data quality checks, monitoring, and observability for production pipelines Perform root cause analysis on data incidents and pipeline failures, and implement preventive fixes to avoid recurrence Data wrangling of heterogeneous data, exploration and discovery in pursuit of new business insights Collaborate with analytics and business teams to deliver trusted datasets Mentor other team members in their efforts to build data engineering skillsets Assist team management in defining projects, including helping estimate, plan and scope work Prepare and contribute to presentations required by management Required Qualifications: 4+ years developing cloud solutions as a Data Engineer Bachelor’s Degree in Computer Science, Computer Engineering, or a related field Clear and concise verbal and written Proven experience developing solutions with: AWS (Redshift, S3, Step Functions, Eventbridge, CloudWatch) Databricks (Spark, Delta Lake, Apache Iceberg, Unity Catalog) Snowflake Strong proficiency in SQL to write and optimize performance of large-scale analytics queries Strong proficiency in Python for custom data processing Familiarity with CI/CD, version control (Git), and automated testing for data pipelines Familiarity with Infrastructure as Code (Terraform, or similar) Solid understanding of data warehousing and dimensional modeling Ability to write detailed and comprehensive testing documentation. Strong focus on code quality with the ability to design and execute thorough tests. Ability to manage work across multiple projects, good organizational skills Ability to quickly learn new technologies and understand data flows and business concepts. Excellent problem-solving skills, attention to detail, and the ability to work independently. Proven track record of proactively identifying, performing root cause analysis on, and mitigating production data issues. Ability to conduct effective code reviews. Ability to interview without use of AI tools Preferred Qualifications: Hands-on experience integrating AI tools/solutions into data workflows to improve efficiency, automation, or developer productivity #DataEngineer #DenverCO #HybridRole #DataEngineeringJobs #ETL #BigData #DataPipelines #CloudData #AWS #Azure #GCP #SQL #Python #Spark #Databricks #Snowflake #DataWarehouse #DataIntegration #HiringNow