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Analytics Engineer Jobs in Philadelphia, PA (NOW HIRING)

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 ...

Deloitte

GCP Cloud Analytics Engineer

Philadelphia, PA · On-site

$56.25 - $75.25/hr

GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients ...

SAP

SAP NS2 Data and Analytics Engineer

Newtown Square, PA · On-site

$109K - $131K/yr

SAP NS2 Data and Analytics Engineer - Hybrid - Herndon, VA; Newtown Square, PA The oCOO Data Management team is responsible for providing trusted data and analysis to support evaluation, research ...

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 ...

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Analytics Engineer information

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 analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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.

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 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.
What are the most commonly searched types of Analytics Engineer jobs in Philadelphia, PA? The most popular types of Analytics Engineer jobs in Philadelphia, PA are:
What are popular job titles related to Analytics Engineer jobs in Philadelphia, PA? For Analytics Engineer jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Philadelphia, PA look for? The top searched job categories for Analytics Engineer jobs in Philadelphia, PA are:
What cities near Philadelphia, PA are hiring for Analytics Engineer jobs? Cities near Philadelphia, PA with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Philadelphia, PA as of August 2026, with employment types broken down into 93% Full Time, and 7% Contract. Highlights an 84% In-person, and 16% Remote job distribution.

Analytics Engineer

Stem Xpert

Philadelphia, PA • On-site

Other

Re-posted 11 days ago

Job description

Company Description

Founded in 2009 and headquartered in Ann Arbor, MI, TEKWISSEN provides a unique portfolio of innovative capabilities that seamlessly combines clients insights, strategy, design, software engineering and systems integration. Our tightly integrated offerings are tailored to each client's requirements and span the services spectrum from Application Development/Maintenance, testing, Technology Consulting & staffing. The company is primarily focused on information technology, engineering, healthcare, financial technology and contingent workforce solutions. It operates in seven business segments including Commercial, Professional & Technical, EMEA Commercial, and EMEA Professional & Technical. The company provides professional and technical expertise in the fields of Telecom, Education, Banking, Retail, e-commerce, Automotive, Life Science, Insurance, legal, healthcare, among others. It also offers outsourcing, consulting, recruitment, career transition, and vendor management services.
We strongly believe:
" If something cannot be measured, it cannot be managed. "
TEKWISSEN measures all of these processes and applies corrective interventions to manage the quality process at its core.
We are an Equal Employment Opportunity Employer M/F/V/D
Recognitions:
2015 -America's Fastest Growing Company by Inc.com
2015- SPARK FastTrack Award from Ann Arbor SPARK
2015 -Honoree of Diversity Focused Company by Corp! Magazine
2014- America's Fastest Growing Company by Inc.com
2014- Michigan 50 Companies to Watch
2014 - DiSciTech Award in Technology by Corp! Magazine
2014- DiSciTech TECHNOLOGY Company of the year by Corp! Magazine
2014- SPARK FastTrack Award from Ann Arbor SPARK
Specialties:
Enterprise Solutions, Web Development, Data Warehousing, Systems Integration, IT Security, Storage Technologies, Development and Delivery, Business Intelligence, Telecommunications, Consulting and Planning, Network design, Implementation &Administration

Job Description

Job Description:
Title: 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 responsible for helping create our next-generation analytics platform for the Comcast X1 product.
    Responsibilities span the full engineering lifecycle from architecture and design, data analysis, software development, QA, release and operations support.
    You will be working as a member of a dedicated DevOps team tasked with building and operating the analytics platform.
Job Responsibilities
Create and support analytics infrastructure to support high-volume and high-velocity data pipelines.
    Develop and test data integration components to high standards of quality and performance.
    Lead code reviews and act as mentor to less experienced members of the team.
    Assist with planning and executing releases of data pipeline components into production.
    Troubleshoot and resolve critical production failures in the data pipeline.
    Research, identify and recommend technical and operational improvements that may result in improved reliability, efficiency and maintenance of the analytics pipeline.
    Evaluate and advise on technical aspects of open work requests in the product backlog with the project lead.
Qualifications
Bachelor's Degree in Comp. Science or related field.
    At least 5 years solid development experience working on the Linux/Unix platform.
    5 to 7 years solid development experience working in Java/Scala
    At least 2 years of that experience should be in the analytics sphere and working with distributed compute frameworks.
    Experience of working in AWS a strong plus.
    Knowledge of the following technologies : Java, Scala, Spark, Storm, Kafka, Kinesis, Avro.

Additional Information
Thanks & Regards
Narendra
narendra(dot)s(at)tekwissen(dot)com
734-357-8978
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About stem xpert

Sourced by ZipRecruiter

STEM Xpert, based in Ann Arbor, MI, US, is a leading company in the Science, Technology, Engineering, and Mathematics (STEM) education industry. Since their establishment, they have made an indelible mark by providing innovative services and products designed to enhance STEM learning. Their service portfolio includes comprehensive educational programs, customized learning modules and interactive STEM kits. Driven by a passion for nurturing young minds, the company's mission is to bring about an educational renaissance in the STEM field, making learning not just theoretical but practical and fun. One notable achievement for STEM Xpert has been its success in reaching a broad spectrum of learners, from school-age to adults, contributing significantly towards empowering the community's technological and scientific literacy.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Ann Arbor, MI, US

Year founded

2012

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