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Independent Contractor Databricks Jobs in Utah (NOW HIRING)

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Independent Contractor Databricks information

What skills and qualifications are needed to thrive as an independent contractor Databricks?

To thrive as an Independent Contractor Databricks, you need a solid background in data engineering, big data analytics, and proficiency with Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with Databricks platform, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly beneficial. Strong problem-solving, communication, and self-management skills help you deliver solutions independently and collaborate effectively with clients. These skills are essential for delivering robust data solutions, meeting client expectations, and staying competitive in a rapidly evolving data landscape.

What is the difference between Independent Contractor Databricks vs Data Engineer?

AspectIndependent Contractor DatabricksData Engineer
CredentialsOften requires Databricks certifications, SQL, Python, cloud platform knowledgeRequires similar certifications, SQL, Python, cloud skills, sometimes specific to cloud providers
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, corporate or tech company, hybrid or on-site
Employer & IndustryClients across industries, consulting firms, startupsTech companies, finance, healthcare, large enterprises

While both roles require data processing skills and cloud platform knowledge, Independent Contractor Databricks typically involves project-based freelance work with a focus on Databricks platform expertise. Data Engineers often work full-time within organizations, handling broader data pipeline responsibilities. The key difference lies in employment status and work setup.

What is an independent contractor Databricks?

Independent Contractor Databricks are professionals who work on a contract basis, rather than as full-time employees, to provide expertise using Databricks' unified analytics platform. They are typically hired by organizations to help with data engineering, machine learning, and big data analytics projects, leveraging Databricks' capabilities on Apache Spark. These contractors often bring specialized knowledge in cloud platforms, data pipelines, and advanced analytics, working independently or as part of project teams. Their flexible engagement allows companies to scale their data initiatives without committing to permanent hires.

What are common challenges faced by independent contractor Databricks professionals when onboarding with new clients?

Independent Contractor Databricks professionals often encounter challenges such as adapting to diverse data environments and integrating Databricks with existing infrastructure. Each client may have unique data governance policies, security requirements, and legacy systems, requiring contractors to quickly learn and align with these standards. Additionally, contractors must efficiently communicate with both technical and non-technical stakeholders to understand project goals and deliver value within tight timelines. Building rapport with in-house teams and demonstrating expertise early on can help overcome these onboarding hurdles.
What are the most commonly searched types of Databricks jobs in Utah? The most popular types of Databricks jobs in Utah are:
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Independent Contractor Databricks jobs near you

Site Reliability Engineer (Contractor)

Varo Bank

Salt Lake City, UT

$55.25 - $73.25/hr

Full-time

Posted 4 days ago

Job description

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us.

About the role

Varo’s SRE team is well established, designing, building, and running large-scale, distributed, fault-tolerant systems that power most of Varo\'s operations. We live and breathe AWS and Kubernetes, having an open source first and result oriented mindset.

We are an automation and observability focused team and we strive to automate ourselves out of manual / remedial tasks. We monitor and create dashboards to promote a data-driven approach to scale out our platform.

On a typical day, members of our team are hands-on scaling-out production infrastructure, building out CI/CD pipelines, and brainstorming with developers on how to make things better. We collectively strive to build and maintain a rapid-feedback platform that enables our engineers to accomplish their own goals instead of creating friction.

Responsibilities

  • EKS & Karpenter Management: Manage, upgrade, and autoscale EKS clusters across multiple environments (SIT, UAT, Prod) and AWS accounts.

  • Infrastructure as Code & GitOps: Write Terraform modules and Helm charts to support GitOps workflows using ArgoCD and GitLab CI/CD pipelines.

  • Kafka & Data Platform Support: Maintain and troubleshoot Kafka (MSK) clusters, including broker health, connectors, and CDC pipelines.

  • Observability & Cost Control: Improve observability using Prometheus, Thanos, Grafana, and ELK while proactively identifying cloud cost-optimization opportunities.

  • Automation & AIOps: Automate operational tasks with Python and leverage AI/ML techniques for predictive alerting and intelligent runbooks.

  • Service Desk & Support: Handle Platform Service Desk requests, including Terraform merge request reviews, access management, and deployment support.

  • Incident Response & On-Call: Participate in the production on-call rotation, support incident response, and contribute to blameless post-mortems.

Skills & Qualification

  • Experience: 3+ years of experience in an SRE, DevOps, or Infrastructure Engineering role, with the ability to work independently and manage multiple workstreams.

  • AWS Expertise: Strong hands-on experience with core AWS services, including EKS, EC2, RDS Aurora, MSK, S3, IAM, VPC, and Direct Connect.

  • Kubernetes & Deployment: Deep production experience with Kubernetes (upgrades, networking, RBAC) alongside Helm and GitOps tools like ArgoCD.

  • Infrastructure as Code: Advanced proficiency with Terraform, including writing modules and managing multi-account/multi-environment states.

  • Data Infrastructure: Experience supporting and maintaining data platforms such as Airflow, Databricks, EMR, Kafka/MSK, or CDC pipelines.

  • Networking & Automation: Solid understanding of networking (VPCs, security groups, Istio, DNS) paired with strong Python scripting skills for tooling and automation.

  • Observability & AI: Experience managing observability stacks (Prometheus, Grafana, ELK) and effectively leveraging AI/LLM tools for automation and incident analysis.

  • Nice to Have: Experience with Karpenter and KEDA, GitLab CI/CD pipeline experience, Hashicorp Vault for secrets management.

For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range.

Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

Beware of fraudulent job postings!

Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo.  If you suspect you have received a phony offer, please e-mail careers@varomoney.com with the pertinent information and contact information.

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