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61 Databricks Operations Jobs Hiring Near You

Mothership

DataBricks Administrator

Cincinnati, OH · On-site

DataBricks Administrator Onsite and local to Cincinnati. Key Responsibilities: Azure Databricks ... Set up audit logging, monitoring, and alerting for security and operational insights. Performance ...

KeyLogic, LLC

Leveraging your expertise, you will play a key role in streamlining operations and enhancing the reliability of the overall technology environment. Exposure to tools such as Databricks and Terraform ...

JPS Tech Solutions LLC

Databricks Admin

Dallas, TX · On-site

Responsibilities will include designing, implementing, and maintaining the Databricks platform, and providing operational support Operational support responsibilities include platform set-up and ...

Tror AI for everyone

Databricks Architect

Los Angeles, CA · On-site

$69.75 - $91.50/hr

Implement CI/CD and automation using Databricks Repos, Git, and DevOps pipelines. * Cloud & Platform Expertise * Architect solutions across Azure/AWS/GCP leveraging native cloud services (e.g., Azure ...

Scicom Infrastructure Services

Databricks SME

Atlanta, GA · Remote

$66.25 - $87/hr

Operational Excellence (monitoring, automation, CI/CD, runbooks) Implementation & Engineering * Lead Databricks workspace, cluster, and Unity Catalog implementations * Implement Delta Lake, Delta ...

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Databricks Jobs Information

What is it like to work at Databricks?

Databricks is known for its collaborative and innovative culture, prioritizing teamwork, open communication, and continuous learning. The company's structure is designed to foster a sense of community, with cross-functional teams working together to drive product development and customer success, often in an open and modern office environment. Working at Databricks may appeal to candidates who are passionate about data and AI, as the company offers opportunities to work on cutting-edge projects, collaborate with industry experts, and contribute to the growth of a rapidly expanding field.
What are the most popular jobs at Databricks?
What are the most popular categories at Databricks?
Infographic showing various Operations job openings at Databricks in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 94% Physical, and 6% Remote job distribution.

Databricks Data Engineer with DevOps Skills

Jobs :: PeopleNTech LLC

Alexandria, VA

$75/hr

Other

Posted 16 hours ago

Job description

Job Title: Databricks Data Engineer with DevOps Skills
Location : Los Angeles CA (Hybrid)
Hire type : FTE / CTH
Rate : $75/hr
Salary : $130K
Indent : SF_OP_185860-2-1
Job Summary
We are looking for an experienced Databricks Data Engineer with strong DevOps expertise to join our data engineering team. The ideal candidate will design, build, and optimize large-scale pipelines on the Databricks Lakehouse Platform on AWS, while driving automated CI/CD and deployment practices. This role requires strong skills in PySpark, SQL, AWS cloud services, and modern DevOps tooling. You will collaborate closely with cross-functional teams to deliver scalable, secure, and high-performance data solutions.
Must Demonstrate (Critical Skills & Architectural Competencies)
  • Designing and implementing Databricks-based Lakehouse architectures on AWS
  • Clear separation of compute vs. serving layers
  • Ability to design low-latency data/API access strategies (beyond Spark-only patterns)
  • Strong understanding of caching strategies for performance and cost optimization
  • Data partitioning, storage optimization, and file layout strategy
  • Ability to handle multi-terabyte structured or time-series datasets
  • Skill in requirement probing, identifying what matters architecturally
  • A player-coach mindset: hands-on engineering + technical leadership

Key Responsibilities
1. Data Pipeline Development
  • Design, build, and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Develop high-performance data processing workflows using PySpark/Spark and SQL.
  • Integrate data from Amazon S3, relational databases, and semi/nonstructured sources.
  • Implement Delta Lake best practices including schema evolution, ACID, OPTIMIZE, ZORDER, partitioning, and file-size tuning.
  • Ensure architectures support high-volume, multi-terabyte workloads.
2. DevOps & CI/CD
  • Implement CI/CD pipelines for Databricks using Git, GitLab, GitHub Actions, or AWS-native tools.
  • Build and manage automated deployments using Databricks Asset Bundles.
  • Manage version control for notebooks, workflows, libraries, and environment configuration.
  • Automate cluster policies, job creation, environment provisioning, and configuration management.
  • Support infrastructure-as-code via Terraform (preferred) or CloudFormation.
3. Collaboration & Business Support
  • Work with data analysts and BI teams to prepare curated datasets for reporting and analytics.
  • Collaborate closely with product owners, engineering teams, and business partners to translate requirements into scalable implementations.
  • Document data flows, technical architecture, and DevOps/deployment workflows.
4. Performance & Optimization
  • Tune Spark clusters, workflows, and queries for cost efficiency and compute performance.
  • Monitor pipelines, troubleshoot failures, and maintain high reliability.
  • Implement logging, monitoring, and observability across workflows and jobs.
  • Apply caching strategies and workload optimization techniques to support low-latency consumption patterns.
5. Governance & Security
  • Implement and maintain data governance using Unity Catalog.
  • Enforce access controls, security policies, and data compliance requirements.
  • Ensure lineage, quality checks, and auditability across data flows.
Technical Skills
  • Strong hands-on experience with Databricks, including:
    • Delta Lake
    • Unity Catalog
    • Lakehouse Architecture
    • Delta Live Pipelines
    • Databricks Runtime
    • Table Triggers
    • Databricks Workflows
  • Proficiency in PySpark, Spark, and advanced SQL.
  • Expertise with AWS cloud services, including:
    • S3
    • IAM
    • Glue / Glue Catalog
    • Lambda
    • Kinesis (optional but beneficial)
    • Secrets Manager
  • Strong understanding of DevOps tools:
    • Git / GitLab
    • CI/CD pipelines
    • Databricks Asset Bundles
  • Familiarity with Terraform is a plus.
  • Experience with relational databases and data warehouse concepts.
Preferred Experience
  • Knowledge of streaming technologies like Structured Streaming/Spark Streaming.
  • Experience building real-time or near real-time pipelines.
  • Exposure to advanced Databricks runtime configurations and performance tuning.
Certifications (Optional)
  • Databricks Certified Data Engineer Associate / Professional
  • AWS Data Engineer or AWS Solutions Architect certification

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