Databricks Data Engineer With Devops Skills
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.1
Reclaim your time by letting our AI handle the grunt work of job searching.
We continuously scan millions of openings to find your top matches.
Overview
Remote
On-site
Compensation
$75-$75/hour
Job Description
Job Title: Databricks Data Engineer with DevOps SkillsLocation : Los Angeles CA (Hybrid)Hire type : FTE / CTH Rate : $75/hrSalary : $130KIndent : SF_OP_185860-2-1Job 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
- 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/non structured 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Databricks Certified Data Engineer Associate / Professional
- AWS Data Engineer or AWS Solutions Architect certification
Automate your job search with Sonara.
Submit 10x as many applications with less effort than one manual application.
FAQs About Databricks Data Engineer With Devops Skills Jobs at PeopleNTech LLC
What is the work location for this position at PeopleNTech LLC?
This job at PeopleNTech LLC is located in Alexandria, VA, according to the details provided by the employer. Some roles may also include multiple work locations depending on the requirement.
What pay range can candidates expect for this role at PeopleNTech LLC?
Candidates can expect a pay range of $75–$75 per hour for this role.
What employment applies to this position at PeopleNTech LLC?
The employer has not provided this information. This may be discussed during the hiring process.
What is the process to apply for this position at PeopleNTech LLC?
You can apply for this role at PeopleNTech LLC either through Sonara's automated application system, which helps you submit applications 10X faster with minimal effort, or by applying manually using the direct link on the job page.