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Full Time Data Analytics Engineer Jobs in 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 ...

Data Engineer

Philadelphia, PA ยท 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 ...

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 ...

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 ...

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 ...

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

Senior Analytics Engineer

Philadelphia, PA ยท 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 ...

This role owns end-to-end delivery across multiple workstreams, establishes repeatable engineering ... Data & Analytics Products (Build + Scale) Own the end-to-end lifecycle of data and analytics ...

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Showing results 1-20

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 Sep 7, 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 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 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 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:

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.

Sr. Data Analytics Engineer - Internal Audit

Vangard, Inc.

Malvern, PA โ€ข On-site

$112K - $134K/yr

Full-time

Posted 26 days ago


Key responsibilities

  • Design, build, and maintain scalable data pipelines and ETL processes to support analytics and automation initiatives.

  • Partner with stakeholders to translate business needs into technical specifications and design data models, process flows, and system integrations.

  • Develop and deploy automation tools and scripts to streamline audit and business processes, improve efficiency, and reduce manual effort.


Job description

Vanguard's Internal Audit & SOX (IAS) department has an exciting opportunity in our Automation and Analytics team. We're looking for a tech-savvy, innovative individual who's passionate about building scalable data solutions and engineering robust analytics infrastructure. This role is a crucial part of our forward-thinking, dynamic team and is key to delivering automated utilities and data pipelines that provide greater assurance to the organization, increase stakeholder productivity, and deliver deeper insights into the operating effectiveness of our control environment-all of which ultimately support Vanguard's purpose: to take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

You'll collaborate with a diverse and talented team of centralized and decentralized data analysts, and work closely with our analytics infrastructure and solutions using the latest technologies. The ideal candidate will have a strong background in data engineering, technical communication, and automation development, with hands-on experience in System frontend development, Streamlit, cloud platforms, Python, and data pipeline design.

Responsibilities:

  • Data Engineering & Pipeline Development: Design, build, and maintain scalable data pipelines and ETL processes to support analytics and automation initiatives. Ensure data quality, integrity, and performance across systems.
  • Requirements Gathering and Technical Design: Partner with stakeholders to translate business needs into technical specifications. Design data models, process flows, and system integrations aligned with strategic objectives.
  • Automation Development: Develop and deploy automation tools and scripts (e.g., Python, SQL, Power Apps) to streamline audit and business processes, improve efficiency, and reduce manual effort.
  • Data Visualization: Support the development of reporting front-end interfaces using tools such as Streamlit, hosted on AWS infrastructure. Collaborate with analytics and audit teams to design user-friendly applications that deliver insights and enable interaction with automated utilities and data pipelines.
  • Infrastructure & Systems Integration: Collaborate with IT and analytics teams to implement integrated solutions using cloud platforms (e.g., AWS), databases (e.g., SQL Server), and identity systems (e.g., Active Directory).
  • Process Optimization: Identify and implement opportunities for process improvement through automation and data-driven insights within internal audit workflows.
  • Innovation & Technology Adoption: Stay current with emerging technologies (e.g., GenAI, RPA, AI/ML) and recommend innovative solutions that align with organizational strategies.

What It Takes:

  • Proficiency inPython,SQL, and data engineering tools and frameworks.
  • Experience withdata visualization platforms(e.g., Tableau, Power BI),cloud infrastructure(e.g., AWS), anddatabase systems(e.g., SQL Server).
  • Familiarity withRPA,AI/ML concepts, and modern data architecture.
  • Strong communication skills to bridge technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, ambiguous environment and manage multiple priorities.
  • Strong planning and organizational skills with a focus on execution and delivery.

Qualifications:

  • Minimum of 5 years related technical experience; some working knowledge of audit, risk, and controls.
  • Undergraduate degree in a related field or the equivalent combination of training and experience (e.g., MIS, Information Technology, Data Sciences, Data / Business Analytics).

Special factor:

  • This is a hybrid role - candidates must be commutable to Vanguard's Malvern, PA office.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.