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Full Time Data Analytics Engineer Jobs in Philadelphia, PA

3B Staffing LLC

Data Engineer / Analytics Engineer

Camden, NJ · On-site

$115K - $138K/yr

We are seeking a highly motivated Data Engineer / Analytics Engineer to join our growing Data & Analytics team. This role is ideal for a technically strong professional who also possesses exceptional ...

New

3B Staffing LLC

Data Engineer / Analytics Engineer

Camden, NJ · On-site

$115K - $138K/yr

We are seeking a highly motivated Data Engineer / Analytics Engineer to join our growing Data & Analytics team. This role is ideal for a technically strong professional who also possesses exceptional ...

New

Stem Xpert

Analytics Engineer

Philadelphia, PA · On-site

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 · On-site

$55/hr

  • Medical

  • Retirement

  • PTO

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

$55/hr

  • Medical

  • Retirement

  • PTO

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

$55/hr

  • Medical

  • Retirement

  • PTO

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 ...

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All JobsData Analytics Engineer JobsFull Time Data Analytics Engineer JobsFull Time Data Analytics Engineer Jobs in Philadelphia, PA

Full Time Data Analytics Engineer information

See Philadelphia, PA salary details

$44.9K

$130.9K

$179.1K

How much do full time data analytics engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for full time data analytics engineer in Philadelphia, PA is $130,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,500.00 and $138,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a full time data analytics engineer?

To thrive as a Full Time Data Analytics Engineer, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, data visualization platforms (like Tableau or Power BI), and experience with cloud data systems or certifications (e.g., AWS, Google Cloud) are typical requirements. Exceptional problem-solving abilities, communication skills, and attention to detail help you interpret complex data and collaborate effectively with stakeholders. These skills are essential to transform raw data into actionable insights, driving business decisions and organizational growth.

What are some common challenges faced by full time data analytics engineers when working with diverse data sources?

Full Time Data Analytics Engineers often encounter challenges when integrating and cleaning data from multiple, disparate sources, such as databases, APIs, and flat files. Ensuring data quality, consistency, and compatibility across these sources can be complex and time-consuming. Additionally, the need to collaborate with both technical and non-technical stakeholders to understand data requirements and business objectives requires strong communication skills. Addressing these challenges is critical for delivering accurate and actionable insights.

What does a full time data analytics engineer do?

A Full Time Data Analytics Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze large volumes of data. They work closely with data scientists and business stakeholders to develop pipelines and tools that transform raw data into meaningful insights. Their work involves data modeling, database management, and the use of analytics tools to help organizations make data-driven decisions. Additionally, they ensure data quality, security, and scalability within the analytics infrastructure.

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 Full Time Data Analytics Engineer jobs in Philadelphia, PA?

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

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

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

Full Time Data Analytics Engineer jobs near you
Infographic showing various Full Time Data Analytics Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,895 per year, or $62.9 per hour.

Data Engineer / Analytics Engineer

3B Staffing LLC

Camden, NJ • On-site

$115K - $138K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are seeking a highly motivated Data Engineer / Analytics Engineer to join our growing Data & Analytics team. This role is ideal for a technically strong professional who also possesses exceptional analytical and business problem-solving skills. The successful candidate will play a key role in building and optimizing enterprise data platforms while partnering closely with business stakeholders to generate actionable insights that drive strategic decision-making.
This position offers a unique blend of hands-on data engineering responsibilities and business-facing analytics work, requiring an individual who can both build scalable data solutions and contribute meaningfully to business discussions.
Key Responsibilities
Data Engineering & Platform Development (50%)

  • Design, develop, and maintain scalable data pipelines within Microsoft Azure.
  • Build and optimize data ingestion processes using Azure Data Factory.
  • Develop transformation workflows using Databricks and Spark notebooks.
  • Create and maintain data models and transformation logic to support enterprise reporting and analytics.
  • Manage data integration processes between Azure, Databricks, and Microsoft Fabric.
  • Monitor and support production data pipelines, integrations, and scheduled jobs.
  • Implement infrastructure and platform enhancements using Terraform and Infrastructure-as-Code best practices.
  • Ensure data quality, performance, reliability, and scalability across the analytics ecosystem.
Business Analytics & Stakeholder Engagement (50%)
  • Collaborate with business stakeholders to understand key objectives and analytical requirements.
  • Participate in discussions to identify business opportunities, trends, and customer insights.
  • Help define analytical approaches and recommend data-driven solutions.
  • Analyze customer, operational, and market data to support strategic initiatives.
  • Translate complex business questions into actionable data solutions and recommendations.
  • Proactively identify opportunities for process improvements and enhanced reporting capabilities.
Key Initiatives
  • Support the migration of Oracle Business Intelligence (OBI) workloads to Microsoft Fabric.
  • Enhance and optimize the organization's Azure-based data platform.
  • Develop scalable reporting and analytics solutions for business users.
  • Drive adoption of data governance, platform standards, and best practices.
  • Partner with IT and business teams on enhancements, integrations, and analytics projects.
Platform Governance & Security
  • Maintain and enforce enterprise data platform standards and best practices.
  • Support Azure security policy remediation and compliance initiatives.
  • Collaborate with infrastructure teams to implement security and operational improvements through Terraform.
  • Contribute to platform governance and architecture discussions.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, or related field, or equivalent experience.
  • Experience with:
    • Microsoft Azure
    • Azure Data Factory
    • Databricks
    • Apache Spark / Spark Notebooks
    • Microsoft Fabric
    • Logic Apps
    • Terraform
    • SQL Development
  • Strong understanding of data integration, ETL/ELT processes, and cloud-based data architectures.
  • Experience working with Infrastructure-as-Code methodologies.
  • Excellent communication and stakeholder management skills.
Preferred Qualifications
  • Experience migrating reporting and analytics platforms to Microsoft Fabric.
  • Knowledge of enterprise data governance and security best practices.
  • Experience supporting business intelligence and analytics initiatives.
  • Ability to work independently and proactively identify opportunities for improvement.

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