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Weekend Data Engineering Jobs in Pennsylvania (NOW HIRING)

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

The ideal candidate is passionate about cloud data engineering, enjoys solving complex data challenges, and thrives in a collaborative Agile environment. Required Competencies Competency Importance ...

Lead Data Engineer

King Of Prussia, PA · On-site

$111K - $134K/yr

Drive innovation and establish best practices in data engineering, serving as the subject matter expert for modern data platform capabilities Manage the full life-cycle development process for data ...

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Required : • Bachelor's degree in Data Engineering, Computer Science, or related field. • 3-5 years of experience in data engineering, preferably within AWS environments. • Proficiency in ...

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native data platforms on Microsoft Azure . This role offers the ...

DATA ENGINEER

Conshohocken, PA · On-site

$112K - $135K/yr

Bachelor's in computer science, data engineering, statistics, mathematics, or related fields. 5 years in data visualization, data mining, and analysis using Power BI Proven experience as a Data ...

Data Engineer with AWS

Malvern, PA · On-site

$112K - $134K/yr

The role requires advanced Python and SQL expertise along with strong hands-on experience with AWS data services to develop scalable and reliable data engineering solutions. Key Responsibilities: • ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the orchestration layer, and the pipelines that move data from our operational systems to everyone who ...

AWS Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

... engineering processes. Responsibilities : • Design and Develop Data Pipelines: Create robust pipelines to ingest, process, and transform data, ensuring it is ready for analytics and reporting. • ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Data Engineering, Data Science, and Strategic Analytics. Data Engineering owns the warehouse, the ... Remote weeks around major holidays + extra holiday on weekends like MDW and LDW * High quality ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Sr. Data Engineer (Snowflake)

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Education and Experience: * 7+ years of experience in data engineering, data warehousing, or data architecture. * 3+ years of hands-on Snowflake experience (performance tuning, data sharing, Snowpark ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

... in data engineering. Participate in meetings with clients and/or stakeholders. Completes work as assigned. Provide after-hours or weekend support as needed. Demonstrate an ability to work ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

... in data engineering. Participate in meetings with clients and/or stakeholders. Completes work as assigned. Provide after-hours or weekend support as needed. Demonstrate an ability to work ...

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Collaborate with Data Engineering, DevOps, and Architecture teams. * Participate in Agile/Scrum ceremonies and production support activities. * Optimize SQL queries and data models for performance ...

Showing results 21-40

Weekend Data Engineering information

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as companies seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark remain valuable, and many organizations require support during weekends to ensure continuous data operations.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.

What are the most commonly searched types of Data Engineering jobs in Pennsylvania?

The most popular types of Data Engineering jobs in Pennsylvania are:

Data Engineer - Databricks

System One

Pittsburgh, PA • On-site

$111K - $133K/yr

Contractor

Re-posted 17 days ago


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.


Job description

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 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 Competencies Competency Importance Proficiency 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.
#M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh


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