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Trainee Databricks Data Engineer Jobs (NOW HIRING)

Prophecy Technologies

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced ...

Mondo

Senior Databricks Data Engineer

Marina Del Rey, CA · On-site

$200K - $225K/yr

Senior Databricks Data Engineer Location-Type: Onsite, Santa Monica, CA (office relocation to Century City anticipated within approximately one year) Start Date: ASAP Duration: Permanent Compensation ...

Numentica LLC

Senior Databricks Data Engineer

Calabasas, CA · On-site

$120K - $145K/yr

Senior Data Engineer (AI & Databricks) Location: Las Vegas, NV / Calabasas, CA Work Model: Onsite (4 days/week) Employment Type: Full-Time Work Authorization: U.S. Citizens (USC) & Green Card Holders ...

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks. The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality and governance, and ...

Infosys Limited

Databricks Data Engineer

Richardson, TX · On-site

$78.54 - $110/hr

Experience with Databricks, PySpark, Python, Git, and DevSecOps. * Experience building and operating data platforms or distributed data systems. * Experience with Medallion Architecture. * Experience ...

PTR Global

Databricks Data Engineer

Manhattan, NY · On-site

$60 - $75/hr

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job Overview: We are seeking a skilled and experienced Applications Developer to join our team in New York, New ...

CogniSoft Technologies

Lead Data Engineer

Charlotte, NC · On-site

$111K - $134K/yr

Lead design, development, and optimization of scalable data pipelines and ETL/ELT workflows using Azure Databricks, PySpark, SQL, and Delta Lake * Enhancement of CI/CD pipelines and Azure DevOps, Git ...

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Trainee Databricks Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Aug 22, 2026, the average yearly pay for trainee databricks data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.

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Trainee Databricks Data Engineer jobs near you
Infographic showing various Trainee Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AWS Databricks Data Engineer

Tror AI for everyone

Los Angeles, CA • On-site

$123K - $148K/yr

Contractor

Re-posted 10 days ago

Job description

Job Title: AWS Databricks Data Engineer

Job Location: Los Angeles CA (Hybrid)

Hire type: FTE / CTH

Note: Only Locals to California

 

Job Description –

We are seeking a highly skilled AWS Data Engineer with strong expertise in SQL, Python, PySpark, Data Warehousing, and Cloud-based ETL to join our data engineering team. The ideal candidate will design, implement, and optimize large-scale data pipelines, ensuring scalability, reliability, and high performance. This role requires close collaboration with cross-functional teams and business stakeholders to deliver modern, efficient data solutions.

Key Responsibilities

1. Data Pipeline Development

  • Build and maintain scalable ETL/ELT pipelines using Databricks on AWS.
  • Leverage PySpark/Spark and SQL to transform and process large, complex datasets.
  • Integrate data from multiple sources including S3, relational/non-relational databases, and AWS-native services.

2. Collaboration & Analysis

  • Partner with downstream teams to prepare data for dashboards, analytics, and BI tools.
  • Work closely with business stakeholders to understand requirements and deliver tailored, high‑quality data solutions.

3. Performance & Optimization

  • Optimize Databricks workloads for cost, performance, and efficient compute utilization.
  • Monitor and troubleshoot pipelines to ensure reliability, accuracy, and SLA adherence.
  • Apply query optimization, Spark tuning, and shuffle minimization best practices when handling tens of millions of rows.

4. Governance & Security

  • Implement and manage data governance, access control, and security policies using Unity Catalog.
  • Ensure compliance with organizational and regulatory data‑handling standards.

5. Deployment & DevOps

  • Use Databricks Asset Bundles for deployment of jobs, notebooks, and configuration across environments.
  • Maintain effective version control of Databricks artifacts using GitLab or similar tools.
  • Use CI/CD pipelines to support automated deployments and environment setups.

Technical Skills (Required)

  • Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Workflows, Delta Live Pipelines, Databricks Runtime, etc.).
  • Proven ability to implement robust PySpark solutions.
  • Hands‑on experience with Databricks Workflows & orchestration.
  • Solid knowledge of Medallion Architecture (Bronze/Silver/Gold).
  • Significant experience designing or rebuilding batch‑heavy data pipelines.
  • Strong background in query optimization, performance tuning, and Spark shuffle optimization.
  • Ability to handle and process tens of millions of records efficiently.
  • Familiarity with Genie enablement concepts (understanding required; deep experience optional).
  • Experience with CI/CD, environment setup, and Git-based development workflows.
  • Solid understanding of AWS cloud, including:
  • IAM
  • Networking fundamentals
  • Storage integration (S3, Glue Catalog, etc.)

Preferred Experience

  • Experience with Databricks Runtime configurations and advanced features.
  • Knowledge of streaming frameworks such as Spark Structured Streaming.
  • Experience developing real-time or near real-time data solutions.
  • Exposure to GitLab pipelines or similar CI/CD systems.

Certifications (Optional)

  • Databricks Certified Data Engineer Associate / Professional
  • AWS Data Engineer or AWS Solutions Architect certification

Thanks & Regards

Akhil

akhil@tror.ai