ZipRecruiter

Log In

1

Data Analytics Engineer Jobs in Philadelphia, PA

COREHIRE

Analytics Engineer

Philadelphia, PA

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 ...

Bridgetown Consulting Group Inc

Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

Analytics Engineer II / Data Engineer Client: Children s Hospital of Philadelphia (CHOP) Location: Philadelphia, PA 100% Onsite Duration: 6+ Months Potential: Possible conversion to Full-Time at the ...

Stem Xpert

Analytics Engineer

Philadelphia, PA

Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage ... Analytics Engineer Location : Philadelphia, PA Duration : long Job Summary A highly experienced ...

Arbor

Data Engineer

Philadelphia, PA · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · Hybrid

Graduate degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience * 2+ years of experience in SQL programming (e.g. MSSQL, Oracle, or similar ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · On-site

Graduate degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience * 2+ years of experience in SQL programming (e.g. MSSQL, Oracle, or similar ...

Lincoln Financial

Specialist, Data Analytics

Radnor, PA · Hybrid

Graduate degree in Computer Science, Data Analytics, Information Systems, or related field or equivalent work experience * 2+ years of experience in SQL programming (e.g. MSSQL, Oracle, or similar ...

Deloitte

GCP Cloud Analytics Engineer

Philadelphia, PA

$56.25 - $75.25/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google Cloud Platform-enabled data ecosystems that support enterprise decision-making, analytics, and ...

New

C3 Industries

Senior Analytics Engineer

Philadelphia, PA · On-site

$105K - $144K/yr

The Senior Analytics Engineer is responsible for designing, building, and maintaining the enterprise data models that power reporting and analytics across C3 Industries and High Profile Cannabis ...

Kanak Elite Services Inc

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Data Engineer Location : Malvern, PA Hybrid (3 days a week onsite & must be willing to relocate and ... Works closely with other technical and data analytics experts across the business to implement data ...

next page

Showing results 1-20

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Philadelphia, PA

Data Analytics Engineer information

See Philadelphia, PA salary details

$42.5K

$124K

$169.6K

How much do data analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data analytics engineer in Philadelphia, PA is $123,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,400.00 and $131,400.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

What are the most commonly searched types of Data Analytics Engineer jobs in Philadelphia, PA?

The most popular types of Data Analytics Engineer jobs in Philadelphia, PA are:

What are popular job titles related to Data Analytics Engineer jobs in Philadelphia, PA?

For Data Analytics Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Philadelphia, PA look for?

The top searched job categories for Data Analytics Engineer jobs in Philadelphia, PA are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,973 per year, or $59.6 per hour.

Analytics Engineer

COREHIRE

Philadelphia, PA

Contractor

Posted 9 days ago

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