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Trainee Databricks Data Engineer Jobs in Somerset, NJ

Sigma Computing

Data Engineer

New York, NY

$140K - $180K/yr

As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both ...

KPMG

Senior Associate, Data Engineer - Databricks

New York, NY · On-site

$116K - $157K/yr

Minimum three years of recent experience as a cloud data lake/warehouse architect, designer, developer, data scientist, or AI / ML engineer; preferably Databricks certified * Bachelor's degree in ...

New

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Job Title: Sr Data engineer Location : NYC Experience - 8+ 5 Days Onsite Look for only New york and ... or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or ...

Donato Technologies, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Sr. Data Engineer New York (35 Miles) Experience: 10+ Years :- Required Skills: * 1.Proficiency in ... or Databricks, alternatively Hadoop), atleast one relational data stores (Postgres, Oracle or ...

Databricks

Sr. Product Manager - Technical

New York, NY · On-site

$156K - $215K/yr

... Databricks Data Intelligence Platform and identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and engineering . Insights from ...

Dlapiper

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Dlapiper

Data Engineer

Short Hills, NJ · On-site

$124K - $149K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Sigma Computing

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both ...

Spgi

Head of Engineering - Inbound Data

Princeton, NJ · On-site

$185K - $265K/yr

Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and ... Deep expertise in Databricks Data Intelligence Platform including Unity Catalog, Delta Lake ...

Spgi

Head of Engineering - Inbound Data

New York, NY

$185K - $265K/yr

Lead and scale a world-class engineering organization of 100+ data engineers, ML engineers, and ... Deep expertise in Databricks Data Intelligence Platform including Unity Catalog, Delta Lake ...

Staffingine LLC

Oracle Fusion Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Job Title: Oracle Fusion Data Engineer Job Location: Princeton, New Jersey Job Type: Contract ... Databricks Platform Expertise * Leverage Databricks functionalities such as Delta Lake Unity ...

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All JobsDatabricks Data Engineer JobsTrainee Databricks Data Engineer JobsTrainee Databricks Data Engineer Jobs in Somerset, NJ

Trainee Databricks Data Engineer information

See Somerset, NJ salary details

$47K

$137.1K

$187.5K

How much do trainee databricks data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for trainee databricks data engineer in Somerset, NJ is $137,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,000.00 and $145,300.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are the most commonly searched types of Databricks Data Engineer jobs in Somerset, NJ?

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Trainee Databricks Data Engineer jobs near you

Databricks Platform Engineer

ExlService Holdings, Inc.

New York, NY • On-site

Full-time

Re-posted 2 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

135th of 495 rated business services

Job description


We are looking for a Databricks Platform Manager/Engineer responsible for designing, administering, securing, and optimizing the enterprise Databricks platform on AWS. The ideal candidate will own the platform lifecycle, ensuring scalability, security, governance, cost optimization, and operational excellence while enabling data engineering, analytics, and AI teams to work efficiently.
This role focuses on platform engineering rather than data engineering or analytics development.
Responsibilities
Platform Administration
  • Design, deploy, and manage Databricks workspaces across Development, Test, UAT, and Production environments.
  • Establish workspace standards, networking, and environment isolation.
  • Manage platform upgrades, including Databricks Runtime (DBR) version planning, testing, and rollout.
  • Maintain platform availability, reliability, and performance.

Compute & Cluster Management
  • Create and manage cluster policies to enforce organizational standards.
  • Configure instance pools and job clusters.
  • Prevent oversized or non-compliant clusters.
  • Standardize cluster configurations across teams.
  • Optimize cluster startup times and resource utilization.

Security & Identity Management
  • Integrate Databricks with AWS IAM.
  • Configure and manage authentication and authorization.
  • Manage service principals, personal access tokens (PATs), and secret scopes.
  • Implement least-privilege access controls.
  • Support enterprise identity management and SSO.

Governance & Data Access
  • Administer Unity Catalog.
  • Manage catalogs, schemas, tables, and permissions.
  • Implement role-based access control (RBAC).
  • Enforce data governance and access policies.
  • Support audit and compliance requirements.

DevOps & CI/CD
  • Configure Git integration with Databricks Repos.
  • Support CI/CD pipelines for notebooks, workflows, and infrastructure.
  • Collaborate with DevOps teams on automated deployments.
  • Enable Infrastructure as Code (IaC) using Terraform where applicable.

Monitoring & Operations
  • Monitor workspace health, jobs, clusters, and platform performance.
  • Respond to incidents and perform root cause analysis.
  • Maintain operational dashboards and alerts.
  • Support production releases and platform maintenance activities.

Cost Optimization
  • Monitor Databricks usage and cloud spending.
  • Recommend cluster sizing and auto-scaling strategies.
  • Optimize job scheduling and compute utilization.
  • Track cost trends and recommend savings opportunities.

Compliance & Audit
  • Configure audit logging.
  • Ensure platform complies with enterprise security policies.
  • Support internal and external audits.
  • Maintain operational documentation and platform standards.

Qualifications
Required Skills
5-10 years of overall IT experience, including 3-5+ years of hands-on experience administering and managing Databricks platforms in production environments on AWS.
  • Databricks Platform
  • Workspace administration
  • Cluster management
  • Cluster policies
  • Instance pools
  • Job clusters
  • Databricks Runtime management
  • Workflows
  • Databricks Repos
  • Unity Catalog
  • Secret Scopes
  • Service Principals
  • Personal Access Tokens (PATs)
  • AWS
  • IAM
  • VPC fundamentals
  • EC2 concepts
  • S3
  • CloudWatch
  • KMS
  • Security Groups
  • Networking fundamentals
  • DevOps
  • Git
  • CI/CD
  • Terraform
  • Infrastructure as Code
  • Azure DevOps, GitHub Actions, or Jenkins
  • Monitoring
  • Platform monitoring
  • Incident management
  • Log analysis
  • Performance tuning
  • Cost optimization
  • Required Experience

Candidates should have hands-on experience with:
  • Managing enterprise Databricks platforms
  • Setting up multiple Databricks workspaces
  • Configuring Unity Catalog
  • AWS IAM integration
  • Cluster policy creation and governance
  • Runtime version upgrades
  • CI/CD implementation
  • Git integration
  • Platform monitoring and troubleshooting
  • Secrets management
  • Audit logging
  • Production support
  • Cost optimization initiatives

Preferred Qualifications
  • Experience managing large-scale Databricks environments (100+ users).
  • Experience supporting multiple business units or enterprise data platforms.
  • Hands-on experience with Terraform for Databricks infrastructure provisioning.
  • Knowledge of Lakehouse architecture and Delta Lake.
  • Experience with FinOps practices for cloud cost optimization.
  • Familiarity with data governance and security frameworks.

Nice to Have
  • Experience with AWS Organizations and Control Tower.
  • Knowledge of networking concepts for private connectivity (PrivateLink, VPC endpoints).
  • Experience with monitoring tools such as CloudWatch, Datadog, or Splunk.
  • Exposure to Apache Spark internals.
  • Experience supporting AI/ML workloads on Databricks.
  • Education
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

Certifications (Preferred)
  • Databricks Certified Data Engineer Professional or Databricks Certified Platform Administrator (if available).
  • AWS Certified Solutions Architect - Associate/Professional.
  • AWS Certified SysOps Administrator.
  • Terraform Associate certification.

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