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Analytics Implementation Engineer Jobs in Pennsylvania

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

Dart Container

Mechanical Engineer

Leola, PA · On-site

Design and run experiments, analyze results, and implement engineering improvements. * Lead continuous improvement projects that reduce scrap, rejects, downtime, and costs. * Develop SOPs ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

This role will focus on designing and implementing scalable, secure, and high-performance data ... Collaborate with architects, business analysts, and cross-functional teams to translate business ...

Dart Container

Mechanical Engineer

Leola, PA · On-site

Design and run experiments, analyze results, and implement engineering improvements. * Lead continuous improvement projects that reduce scrap, rejects, downtime, and costs. * Develop SOPs ...

Dart Container

Mechanical Engineer

Leola, PA · On-site

Design and run experiments, analyze results, and implement engineering improvements. * Lead continuous improvement projects that reduce scrap, rejects, downtime, and costs. * Develop SOPs ...

Dart Container

Mechanical Engineer

Leola, PA · On-site

Design and run experiments, analyze results, and implement engineering improvements. * Lead continuous improvement projects that reduce scrap, rejects, downtime, and costs. * Develop SOPs ...

Knoll Inc.

$71K - $92K/yr

Implement engineering change notices and work closely with quality and product development to ... Experience in coding or analytics automation platforms are a plus * Specifically Microsoft Access ...

Knoll Inc.

Manufacturing Engineer - Seating

Greenville, PA · On-site

$63K - $81K/yr

Implement engineering change notices and work closely with quality and product development to ... Experience in coding or analytics automation platforms are a plus * Specifically Microsoft Access ...

MillerKnoll

Manufacturing Engineer - Seating

Greenville, PA · On-site

$63K - $81K/yr

Implement engineering change notices and work closely with quality and product development to ... Experience in coding or analytics automation platforms are a plus * Specifically Microsoft Access ...

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All JobsAnalytics Implementation Engineer JobsAnalytics Implementation Engineer Jobs in Pennsylvania

Analytics Implementation Engineer information

See Pennsylvania salary details

$26

$51

$80

How much do analytics implementation engineer jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for analytics implementation engineer in Pennsylvania is $51.53, according to ZipRecruiter salary data. Most workers in this role earn between $38.56 and $61.20 per hour, depending on experience, location, and employer.

What is an analytics implementation engineer?

An Analytics Implementation Engineer is a professional responsible for setting up, configuring, and maintaining digital analytics tools on websites and mobile applications. They work closely with stakeholders to understand business requirements, translate them into technical tracking specifications, and ensure accurate data collection for analysis. Their role often involves deploying tags, managing tag management systems, and troubleshooting data issues. This position requires a combination of technical skills, understanding of marketing analytics, and strong problem-solving abilities.

What are the key skills and qualifications needed to thrive as an analytics implementation engineer?

To thrive as an Analytics Implementation Engineer, you need strong expertise in web analytics, JavaScript, tag management systems, and a background in computer science or a related field. Familiarity with tools like Google Tag Manager, Adobe Analytics, and certifications in analytics platforms are often expected. Attention to detail, problem-solving, and effective communication with stakeholders set top performers apart. These skills are vital for accurately collecting, interpreting, and communicating data to drive business insights and optimize digital experiences.

What are some common challenges faced by analytics implementation engineers when integrating analytics tools across multiple platforms?

Analytics Implementation Engineers often encounter challenges such as ensuring data consistency and accuracy across various digital platforms, dealing with legacy systems that may not easily support modern analytics tools, and navigating frequent updates or changes in website or app architectures. Close collaboration with development, product, and marketing teams is critical to clarify tracking requirements and maintain reliable data flows. Addressing these challenges requires a strong understanding of both the technical aspects of analytics tools and the business needs driving data collection.

What is the difference between Analytics Implementation Engineer vs Data Analyst?

AspectAnalytics Implementation EngineerData Analyst
Required CredentialsBachelor's in CS, IT, or related field; certifications in analytics toolsBachelor's in Statistics, Math, or related field; often similar certifications
Work EnvironmentTechnical teams, project-based, focus on system setupBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, marketing agencies, e-commerceFinance, healthcare, retail, consulting

While both roles involve working with data, the Analytics Implementation Engineer primarily focuses on deploying and integrating analytics tools and systems, whereas the Data Analyst concentrates on analyzing data to generate insights. The roles often overlap in skills and certifications but differ in their core responsibilities and work environments.

What are popular job titles related to Analytics Implementation Engineer jobs in Pennsylvania?

For Analytics Implementation Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Analytics Implementation Engineer jobs in Pennsylvania look for?

The top searched job categories for Analytics Implementation Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Analytics Implementation Engineer jobs?

Cities in Pennsylvania with the most Analytics Implementation Engineer job openings:

Analytics Implementation Engineer jobs near you

Data Engineer - Databricks

Pittsburgh, PA • On-site

System One
Business Consulting Services • 5 - 10K employees
Learn more about System Oneexternal

$111K - $133K/yr

Contractor

Re-posted 23 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.
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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

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