Job Title

Location : Remote, On-shore (U.S.) - 1099 Contractor (to start) Company Description Naviri Group partners with organizations to navigate complex change and reach the next level of business maturity. As a DevOps Engineer you will possess strong expertise in automation to design, implement, and maintain CI/CD pipelines and infrastructure-as code patterns. This role will work closely with data engineers, platform teams, and cloud architects to reduce manual deployments, improve reliability, and standardize environment promotion across development, test, and production. What Youll Do Design and implement CI/CD pipelines for Databricks workloads, including notebooks, jobs, workflows, and configurations using Git-based workflows. Automate Databricks deployments using supported mechanisms such as Databricks Asset Bundles (DABs), REST APIs, CLI, or SDKs. Establish environment promotion strategies (dev test prod) with appropriate controls, approvals, and rollback capabilities Collaborate with data engineering teams to integrate testing (unit and integration) into automated pipelines Implement infrastructure-as-code and configuration management practices for Databricks and related cloud resources Improve observability, logging, and monitoring of deployed Databricks jobs and pipelines Document standards, patterns, and best practices to enable repeatable and maintainable deployments Ensure delivered solutions translate into measurable business value, not just technical completion; reinforce adoption, change readiness, and post-go-live value realization. Contribute to the ongoing maturation of delivery standards, templates, and governance. Experience in energy, renewables, or asset-intensive environments is a plus What Youll Bring Proven experience as a DevOps Engineer, Platform Engineer, Data Engineer or Cloud Engineer supporting data platforms and enterprise growth Hands-on experience with Databricks in a production environment Strong knowledge of CI/CD concepts and tooling (e.g., Azure DevOps, GitHub Actions, or similar) applied to Databricks workloads Experience with Git-based version control, branching strategies, and pull request workflows Proficiency in Python and/or Bash for automation tasks Familiarity with cloud platforms (Azure preferred) and cloud-native security concepts Experience with Databricks Asset Bundles and multi-environment deployment patterns Understanding of data engineering workflows (Spark, Delta Lake, scheduled jobs) Exposure to regulated or mission-critical environments (energy, utilities, infrastructure) 3 to 5 years of Databricks experience with preference for Databricks Data Engineer Professional certification How We Work We show up as trusted guides who are calm, collaborative, and committed to real outcomes. Youll join a team that values transparency, craftsmanship, and sustainable innovation. You will have room to grow your impact across programs and platforms. Apply Send your resume and a brief note on a complex system or integration you helped deliver, what made it successful, and what youd do differently next time to [email protected]. #J-18808-Ljbffr