Platform Engineer - DataOps

Role: Platform Engineer - DataOpsLocation: Hybrid, Arden Hills, MN- 3 days/week onsiteRate: $45.68- $47.25/hour W2 dependent on skills and qualificationsWork Authorization: This is a contract-to-hire opportunity. Candidates must be authorized to work in the United States and be eligible to convert to direct employment without current or future employer sponsorship. SummaryThe Platform (DataOps) Engineer designs and builds automation, ingestion frameworks, CI/CD capabilities, and platform tooling that enable the Enterprise Data Platform. This role partners with Data Architects, Data Engineers, and Product Teams to improve developer experience, platform reliability, and data delivery at scale. Technical Platform EngineeringDesign, develop, and maintain platform automation capabilities using Python, SQL, APIs, and command-line tools.Build reusable services, frameworks, utilities, and tooling that improve the reliability, scalability, and efficiency of the Enterprise Data Platform.Design and implement CI/CD pipelines to automate testing, deployment, configuration, and operational processes.Develop and enhance data ingestion frameworks to support onboarding and movement of data across the platform.Create monitoring, observability, and operational intelligence solutions that improve platform reliability and reduce manual effort.Partner with Data Engineers and Data Architects to identify platform gaps and implement scalable technical solutions.Contribute to platform engineering standards, best practices, and development patterns.Participate in proof-of-concept and MVP initiatives that evaluate new platform capabilities and technologies.Improve platform scalability, performance, security, and operational efficiency through automation and engineering solutions.Develop reporting and insights that provide visibility into platform adoption, utilization, reliability, and engineering effectiveness.Required SkillsStrong proficiency in Python development and automation.Experience designing, building, and supporting CI/CD pipelines.Experience with data ingestion, ETL/ELT processes, or data pipeline frameworks.Strong SQL skills.Experience developing automation solutions using APIs and scripting.Experience working with cloud-hosted platforms and services.Experience troubleshooting technical issues and performing root cause analysis.Strong collaboration and communication skills.Preferred SkillsExperience with Snowflake, Databricks, or similar cloud data platforms.Experience with Azure cloud services.Experience with Fivetran or similar ingestion technologies.Knowledge of Infrastructure as Code (Terraform, Bicep, ARM Templates, etc.).Experience implementing monitoring, alerting, and observability solutions.Experience with cloud cost monitoring and optimization.