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Trainee Databricks Data Engineer Jobs in Pennsylvania

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a high-performing ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

Databricks Senior Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Job Summary : eTeam is seeking a Databricks Senior Data Engineer to enhance their data architecture and integration strategies. The role involves collaborating with stakeholders to gather business ...

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

S.) This role requires core experience and expertise on - Databricks (advanced, hands-on), Python, ETL/ELT pipeline development, Spark (SQL/PySpark). Job purpose * The Data Engineer will be ...

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Showing results 1-20

Trainee Databricks Data Engineer information

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 Pennsylvania?

The most popular types of Databricks Data Engineer jobs in Pennsylvania are:

What are popular job titles related to Trainee Databricks Data Engineer jobs in Pennsylvania?

For Trainee Databricks Data Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Pennsylvania look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Trainee Databricks Data Engineer jobs?

Cities in Pennsylvania with the most Trainee Databricks Data Engineer job openings:

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$107K - $128K/yr

Other

Posted 29 days ago


Job description

Data Engineer – Azure Databricks
Contract-to-Hire
Pittsburgh, PA – Onsite

Job ID J0726-0569
Visa : (No Sponsorship)
Position Overview

  • Seeking an experienced Data Engineer to join a high-performing data engineering team responsible for building modern, cloud-native data platforms on Microsoft Azure.
  • This role will focus on designing and implementing scalable, secure, and high-performance data solutions using Azure Databricks, Apache Spark, PySpark, SQL, Delta Lake, and Unity Catalog. The position requires strong expertise in enterprise data governance, metadata management, security, and access control within the Investment Banking, Securities, or Capital Markets domain.
  • The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment.

Required CompetenciesCompetencyImportanceProficiency Level
  • Apache Spark
  • Required
  • Expert
  • Microsoft Azure
  • Required
  • Advanced
  • Investment Banking and Securities
  • Required
  • Advanced
  • Structured Query Language – SQL
  • Required
  • Expert
  • Unity Catalog
  • Required
  • Advanced
  • Databricks
  • Required
  • Expert
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines using Azure Databricks.
  • Build and optimize ETL and ELT workflows using PySpark, SQL, Apache Spark, and Delta Lake.
  • Implement and manage Unity Catalog for enterprise data governance, metadata management, security, and fine-grained access control.
  • Develop cloud-native data engineering solutions on the Microsoft Azure platform.
  • Collaborate with architects, business analysts, and cross-functional teams to translate business requirements into technical solutions.
  • Optimize Spark jobs and data pipelines for performance, scalability, and cost efficiency.
  • Ensure data quality, reliability, governance, and regulatory compliance through validation, monitoring, and engineering best practices.
  • Support production deployments, troubleshooting, root-cause analysis, and performance tuning.
  • Participate in code reviews, technical documentation, and continuous improvement initiatives.
  • Apply cloud data engineering, security, CI/CD, and DevOps best practices within Azure environments.
Required Qualifications
  • 8+ years of overall data engineering or related technology experience preferred.
  • Minimum 5 years of hands-on Azure Databricks experience.
  • Mandatory hands-on experience implementing and managing Unity Catalog.
  • Expert-level experience with Apache Spark, PySpark, and SQL.
  • Strong experience developing enterprise-scale data engineering solutions on Microsoft Azure.
  • Strong experience with Delta Lake, ETL/ELT development, and data pipeline implementation.
  • Experience with Azure Data Factory and Azure Data Lake Storage Gen2.
  • Strong knowledge of the Microsoft Azure data ecosystem.
  • Strong understanding of data governance, metadata management, data security, and access control.
  • Mandatory experience within Investment Banking, Securities, or Capital Markets.
  • Experience using Git and implementing CI/CD practices.
  • Experience working in Agile/Scrum delivery environments.
  • Excellent analytical, communication, and problem-solving skills.
  • Must be willing to work onsite in Pittsburgh, PA.
  • Must be willing and eligible to convert to full-time employment after six months.
Preferred Qualifications
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Microsoft Certified Azure Data Engineer Associate, DP-203.
  • Experience with Infrastructure as Code using Terraform or Bicep.
  • Experience implementing DevOps practices for Azure Databricks environments.
  • Familiarity with Microsoft Purview or Azure Purview.

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System One logo

About System One

Sourced by ZipRecruiter

System One helps employers get work done more efficiently and economically without compromising quality. Over our 35+ year history, we've helped connect thousands of talented people with innovative companies. The excitement of a perfect fit motivates us every single day.

Industry

Business consulting services and recruiting and staffing services

Company size

5,001 - 10,000 Employees

Headquarters location

Pittsburgh, PA, US