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After Query Jobs in Pittsburgh, PA (NOW HIRING)

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Data Engineer - Databricks

Pittsburgh, PA ยท On-site

$111K - $133K/yr

Structured Query Language - SQL * Required * Expert * Unity Catalog * Required * Advanced ... Must be willing and eligible to convert to full-time employment after six months. Preferred ...

Big Data Engineer

Pittsburgh, PA ยท On-site

$54 - $71.50/hr

Work extensively with Hadoop ecosystem components (Hive, HDFS, Impala) to manage and query large ... EXL will only extend a job offer after a candidate has gone through a formal interview process with ...

Showing results 21-34

After Query information

See Pittsburgh, PA salary details

$5

$41

$62

How much do after query jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for after query in Pittsburgh, PA is $41.46, according to ZipRecruiter salary data. Most workers in this role earn between $28.94 and $49.47 per hour, depending on experience, location, and employer.

What is an after query?

After Query jobs typically refer to roles that involve analyzing, interpreting, and acting upon data results obtained after running database queries. These positions are common in data analytics, business intelligence, and IT, where professionals review query outputs to generate reports, provide insights, or inform business decisions. The job may include tasks such as validating data, ensuring query accuracy, and collaborating with stakeholders to communicate findings. Strong analytical skills and proficiency with SQL or other query languages are often required. These roles are vital for organizations that rely on data-driven decision-making.

What are the key skills and qualifications needed to thrive as an after query, and why are they important?

I'm sorry, but 'After Query' does not appear to be a recognized professional job title. Please provide a valid job title.

What are some common challenges faced by professionals in after query roles, and how can they be addressed?

In After Query roles, professionals often encounter challenges such as managing high volumes of post-query follow-ups, ensuring timely and accurate responses, and maintaining clear communication between departments. Balancing multiple requests while adhering to company policies requires strong organizational skills and attention to detail. Building effective workflows and leveraging customer relationship management (CRM) tools can help streamline processes and enhance collaboration with team members, ultimately improving the customer experience.

What is the difference between After Query vs Data Analyst?

AspectAfter QueryData Analyst
Required CredentialsTypically requires a basic understanding of database querying, often with certifications like SQL certificationRequires strong analytical skills, proficiency in SQL, Excel, and data visualization tools, often with a degree in data science, statistics, or related fields
Work EnvironmentPrimarily works in database environments, often within IT or database teamsWorks across departments, analyzing data to support business decisions in various industries
Employer & Industry UsageUsed mainly in IT, database management, and software companiesCommon in finance, marketing, healthcare, and consulting firms

While both roles involve working with data, After Query focuses on executing database queries to retrieve information, whereas Data Analysts interpret and analyze data to provide insights for decision-making.

What are popular job titles related to After Query jobs in Pittsburgh, PA?

For After Query jobs in Pittsburgh, PA, the most frequently searched job titles are:

What job categories do people searching After Query jobs in Pittsburgh, PA look for?

The top searched job categories for After Query jobs in Pittsburgh, PA are:

What cities near Pittsburgh, PA are hiring for After Query jobs?

Cities near Pittsburgh, PA with the most After Query job openings:

Infographic showing various After Query job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, and 7% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $86,235 per year, or $41.5 per hour.

Data Engineer - Databricks

System One

Pittsburgh, PA โ€ข On-site

$111K - $133K/yr

Contractor

Re-posted 16 days ago


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


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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