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Senior Data Analytics Engineer Jobs in Pennsylvania

$125 - $150/hr

... Data Analytics Manager. The Sr. Analyst, Data & Analytics Engineering works directly with Vanscoy Rare Pharmacy teams to determine reporting requirements, develop data pipelines, and distribute ...

Data 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 ...

Data 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 ...

Data Analytics Engineer 2

Hermitage, PA

$104K - $125K/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 ...

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Requirement - Sr. Data Engineer Location- * 1041 West Valley Road Wayne, Pennsylvania 19087 * 7900 ... Provides data analysis guidance as required. * Designs and conducts training sessions on tools and ...

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 ...

... data analytics, data engineering, or related experience * Expert-level SQL skills including joins, CTEs, window functions, and complex query development * Experience with ETL processes and data ...

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 ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Pennsylvania salary details

$81.2K

$126.6K

$175.4K

How much do senior data analytics engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for senior data analytics engineer in Pennsylvania is $126,632.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,300.00 and $144,300.00 per year, depending on experience, location, and employer.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

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

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.

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

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

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

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

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

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

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

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

What cities in Pennsylvania are hiring for Senior Data Analytics Engineer jobs?

Cities in Pennsylvania with the most Senior Data Analytics Engineer job openings:

Infographic showing various Senior Data Analytics Engineer job openings in Pennsylvania as of July 2026, with employment types broken down into 91% Full Time, 7% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $126,632 per year, or $60.9 per hour.

Sr. Data Analytics Engineer - Internal Audit

Vangard, Inc.

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Posted 27 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.