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Data Engineer Manager Jobs in Pennsylvania (NOW HIRING)

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 ... The position requires strong expertise in enterprise data governance, metadata management, security ...

Data Engineer

Mechanicsburg, PA · On-site

$108K - $130K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Implement and manage databases and data delivery systems and transform them into insights, analysis ...

Data Engineer

Mechanicsburg, PA

$108K - $130K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Implement and manage databases and data delivery systems and transform them into insights, analysis ...

Data Engineer

Wyomissing, PA

$110K - $132K/yr

Metropolitan Companies is seeking a Data Engineer to support our growing data and application ... Support reporting needs for operations, finance, and leadership teams * Assist in managing backups ...

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data ...

Data Engineer

Wexford, PA

$108K - $130K/yr

Manage ETL/ELT processes as code and foster a codebase that is extensible and maintainable by all ... Engineering, Data Analytics, or related field. * 3+ years' experience in data engineering, ETL ...

Data Engineer

Mechanicsburg, PA

$108K - $130K/yr

As Data Engineer you will work on a team consisting of Data and Cloud Architects, Engineers, and ... Implement and manage databases and data delivery systems and transform them into insights, analysis ...

Data Engineer

Wexford, PA · On-site

$108K - $130K/yr

Manage the transition from quick prototype to full scalable solution that supports production ... Engineering, Data Analytics, or related field. * 3+ years' experience in data engineering, ETL ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Implement and manage Unity Catalog to support enterprise data governance, security, metadata management, and fine-grained access control. . Develop cloud native data engineering solutions on the ...

Data Engineer

Wayne, PA · On-site

$103K - $124K/yr

... data management. • Experience with data integration and ETL development. • Experience with ... and Python programming skills. • Experience with AWS services including Glue ETL, Lambda ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or ...

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

Position Summary The Lead Data Engineer is a hands-on technical leader responsible for leading data engineering initiatives, managing a team of 1-3 direct reports, and personally building robust data ...

Data Engineer

Philadelphia, PA

$115K - $138K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data ... Skilled in AWS Management and Governance suite of products such as CloudTrail, CloudWatch, or ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Analyzes and evaluates requirements by working with users, product owners and management and ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

ROLE: DATA ENGINEER LOCATION: MALVERN, PA(HYBRID- 3 DAYS A WEEK ONSITE & MUST BE WILLING TO ... Version control and project management tools: Jira, GitHub. * Ability to develop automation scripts ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Analyzes and evaluates requirements by working with users, product owners and management and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Analyzes and evaluates requirements by working with users, product owners and management and ...

Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... Analyzes and evaluates requirements by working with users, product owners and management and ...

Data Engineer

Pittsburgh, PA · On-site

$107K - $128K/yr

Data Engineer Location: PA - Pittsburgh (Locals Preferred) Work Status : Onsite 5 days a week ... management and provides recommendations on the scope and complexity of the solution. • ...

Showing results 21-40

Data Engineer Manager information

See Pennsylvania salary details

$44.6K

$130K

$177.9K

How much do data engineer manager jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data engineer manager in Pennsylvania is $130,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,800.00 and $137,800.00 per year, depending on experience, location, and employer.

What are some typical challenges a data engineer manager faces in their role?

Data Engineer Managers often face the challenge of balancing technical project delivery with team development and stakeholder management. They must ensure data systems remain scalable and reliable while adapting to evolving business requirements and new technologies. Additionally, managing cross-functional communication between data engineers, analysts, and business leaders can require strong organizational and interpersonal skills. Success in this role requires staying current with industry trends and fostering a collaborative, innovative team culture.

What are the key skills and qualifications needed to thrive as a data engineer manager?

To thrive as a Data Engineer Manager, you need robust experience in data architecture, pipeline design, team leadership, and a relevant degree in computer science or a related field. Proficiency with cloud platforms (like AWS or Azure), big data tools (such as Hadoop, Spark), and certifications in data engineering or project management are highly valued. Strong soft skills like effective communication, problem-solving, and mentorship set exceptional managers apart. These competencies enable strategic oversight of technical teams and ensure reliable, scalable data solutions that meet business objectives.

What does a data engineer manager do?

A Data Engineer Manager leads a team of data engineers to design, build, and maintain data pipelines and infrastructure. They collaborate with data scientists, analysts, and business stakeholders to ensure efficient data processing and accessibility. Their responsibilities include project management, team leadership, system architecture decisions, and optimizing data workflows. Additionally, they enforce best practices for data governance, security, and scalability.

What are the most commonly searched types of Data Engineer jobs in Pennsylvania? The most popular types of Data Engineer jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Data Engineer Manager jobs? Cities in Pennsylvania with the most Data Engineer Manager job openings:
Infographic showing various Data Engineer Manager job openings in Pennsylvania as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $130,028 per year, or $62.5 per hour.

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$107K - $128K/yr

Other

Posted 18 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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