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Analytics Engineer Jobs in Pennsylvania (NOW HIRING)

COREHIRE

Analytics Engineer

Philadelphia, PA

Analytics Engineer II Location: Philadelphia, PA (Onsite) Duration: 6+ Months - possible conversion to FTE Type: W2 Overview The Analytics Engineer develops and maintains scalable data models, ELT ...

New

Stem Xpert

Analytics Engineer

Philadelphia, PA · On-site

Analytics Engineer Location : Philadelphia, PA Duration : long Job Summary A highly experienced analytics engineer with experience of working with large-scale, distributed data pipelines, you will be ...

CYNET SYSTEMS

Industrial Analytics Engineer

Pittsburgh, PA · On-site

$75 - $80/hr

Pay Range: $75.00hr - $80.00hr Requirement/Must Have: * 7+ years of experience in industrial engineering analytics, manufacturing modeling, or operations analysis. * Experience with simulation tools ...

Amazon

Senior Industrial Analytics Engineer

Pittsburgh, PA · On-site

$41.50 - $56.75/hr

The Senior Industrial Engineering Analytics Engineer will lead the development and application of advanced analytical models to drive manufacturing efficiency, capacity planning, and cost ...

Fnbcorp

Data and Analytics Engineer 2

Pittsburgh, PA · On-site

$111K - $133K/yr

Data and Analytics Engineer 2 Business Unit: Technology Reports to: Manager of Data and Analytics Engineering Position Overview: This position is primarily responsible for providing comprehensive ...

Truck-Lite

Industrial Data Analytics Engineer

Mcelhattan, PA · On-site

$64K - $86K/yr

... Engineering degree with Data Analytics specialization preferred • Specific Skills and/or Experience with Software, Equipment, etc.: • Databases and Platforms: Db2 SQL, MS SQL Server, MySQL, MS ...

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Analytics Engineer information

See Pennsylvania salary details

$56.2K

$98.2K

$160.2K

How much do analytics engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for analytics engineer in Pennsylvania is $98,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,330.00 and $110,220.00 per year, depending on experience, location, and employer.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

Do analytics engineers make good money?

Analytics engineers typically earn competitive salaries that vary by experience, location, and industry. They often have skills in SQL, data modeling, and tools like Python or Spark, which can contribute to higher compensation. Overall, the role is considered well-paying within the data and analytics field.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for business insights.

What are the most commonly searched types of Analytics Engineer jobs in Pennsylvania?

The most popular types of Analytics Engineer jobs in Pennsylvania are:

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

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

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

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

What cities in Pennsylvania are hiring for Analytics Engineer jobs?

Cities in Pennsylvania with the most Analytics Engineer job openings:

Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $98,196 per year, or $47.2 per hour.

Analytics Engineer

Philadelphia, PA

COREHIRE
See more jobs at COREHIREexternal

Contractor

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Job description

Analytics Engineer II

Location: Philadelphia, PA (Onsite)
Duration: 6+ Months – possible conversion to FTE
Type: W2

Overview

The Analytics Engineer develops and maintains scalable data models, ELT pipelines, and trusted datasets that support enterprise analytics, reporting, and self-service BI. This role partners with business stakeholders, analysts, data scientists, and engineers to deliver high-quality data products and ensure data quality, performance, and reliability.

Responsibilities

  • Design and maintain dimensional data models and curated datasets.
  • Develop automated, scalable ELT pipelines.
  • Implement data quality monitoring, testing, and automation.
  • Partner with business users, analysts, and data scientists to deliver analytics solutions.
  • Support BI platforms, reporting, and dashboard migrations.
  • Use software development best practices including Git, code reviews, and CI/CD.
  • Collaborate with Data Engineering, DevOps, and Architecture teams.
  • Participate in Agile/Scrum ceremonies and production support.

Required Experience

  • 6+ years in Data Analytics, Analytics Engineering, BI, or Data Engineering.
  • Advanced SQL skills, including complex transformations and performance tuning.
  • Strong Data Warehousing and Dimensional Data Modeling experience.
  • Experience designing and maintaining Fact and Dimension tables.
  • Hands-on experience with Snowflake.
  • Experience developing analytics models using dbt.
  • Experience with data quality testing and validation.
  • Experience with Git, code reviews, and CI/CD.
  • Experience with BI tools such as Power BI, Tableau, Qlik, or Business Objects.
  • Experience with big data technologies such as Spark, Hadoop, Kafka, Hive, or Sqoop.
  • Experience building and consuming APIs.
  • Linux experience (RHEL/Debian).
  • Scripting experience using Python, Bash, or similar languages.
  • Strong analytical and problem-solving skills.
  • Experience working in Agile environments.

Preferred Experience

  • 8+ years in data and analytics.
  • Experience with Cloud platforms (AWS, Azure, or GCP).
  • Experience with Apache Airflow or similar orchestration tools.
  • Experience supporting BI migrations to Power BI.
  • Experience with semantic models and analytics engineering best practices.
  • Education

Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, or a related field preferred. Equivalent professional experience will be considered.

Must-Have Keywords

SQL, Snowflake, dbt, Dimensional Data Modeling, Fact Tables, Dimension Tables, Power BI