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Data Engineer Data Analyst Jobs in Pennsylvania (NOW HIRING)

W2// Data Engineer

Blue Bell, PA ยท On-site

$109K - $131K/yr

Data Engineer Location : Blue Bell, PA Duration : 1 year Contract REMOTE WORK As a Senior Data ... The ideal candidate would have data analysis and data pipeline development experience using big ...

Data Analyst

Bridgeport, PA ยท On-site

$70K - $85K/yr

Data Analyst (Power BI/SQL) Location: Conshohocken, PA Salary: $70,000 - $85,000 Overview We are ... Experience with version control tools (e.g., Azure DevOps Git) * Exposure to data governance ...

Data Analyst Engineer Location: Malvern, PA - Hybrid Duration: 6 -12 months Two Round Interview Process Round 1: Technical Interview Round 2: Case Study (Candidates will be given a takeaway case ...

Data Analyst Company OverviewDutch Ridge Consulting Group, LLC (DRCG) is an ISO 9001:2015, Small ... Engineering, Workflow Solutioning, and Business Consulting Services. Established in 2016, DRCG is ...

Data Analyst Company Overview Dutch Ridge Consulting Group, LLC (DRCG) is an ISO 9001:2015, Small ... Engineering, Workflow Solutioning, and Business Consulting Services. Established in 2016, DRCG is ...

Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery. * Support pod-level delivery by producing ...

The Analyst will act as a liaison between various Data and Engineering stakeholders to develop automated solutions to analyze, correlate and report data and insights to stabilize and scale our self ...

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field Experience working with large datasets and applying analytical techniques Strong programming skills in ...

Data Engineer - Senior Manager

Philadelphia, PA ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field Experience working with large datasets and applying analytical techniques Strong programming skills in ...

Data Engineer

Indiana, PA

$104K - $125K/yr

The Data Engineer collaborates closely with the Information Technology, Analytics & Digital Innovation, Marketing, and Sales teams to ensure data flows efficiently across platforms and systems. The ...

Data Engineer

Home, PA ยท On-site +1

$102K - $122K/yr

The Enterprise Data and Analytics team provides strategic direction, technical/functional expertise ... The Data Engineer, as a key member of the Enterprise Data and Analytics team, provides technical ...

Data Engineer - Senior Manager

Pittsburgh, PA ยท On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer

Philadelphia, PA ยท On-site

$115K - $138K/yr

Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower ...

Showing results 41-60

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

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

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

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

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

What cities in Pennsylvania are hiring for Data Engineer Data Analyst jobs?

Cities in Pennsylvania with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Pennsylvania as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

W2// Data Engineer

VensIT Corp

Blue Bell, PA โ€ข On-site

$109K - $131K/yr

Other

Posted 4 days ago


Job description

Position Name : Data Engineer

Location : Blue Bell, PA

Duration : 1 year Contract

REMOTE WORK

Job Description

As a Senior Data Engineer, you will work with the team to build complex data pipelines using a new cutting-edge Data Ingestion Platform as well as several new and exciting products in the

Big Data / Advanced Analytics space.

You will operate in a fast-paced environment where multiple project deliverables are coordinated within specified deadlines.

The primary responsibility of this role is to deliver accurate and timely data across various products to enable revenue for the company.

The ideal candidate would have data analysis and data pipeline development experience using big data tools (like Spark, Scala, Hive), relational databases, intermediate SQL skills. Healthcare knowledge is a plus.

Required Skills -

โ€ข MUST: 5+ years  experience with data aggregation, standardization, linking, quality check mechanisms, and reporting.

โ€ข MUST: 5+ years  experience with big data technologies like Hadoop and Spark.

โ€ข MUST: 5+ years  experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools.

โ€ข MUST: Solid understanding of Linux environments; strong knowledge of shell scripting and file systems.

โ€ข Bachelorโ€™s degree in relevant field such as Computer Science, Engineering, a related field, with 8-10 years of industry experience.

Job Duties -

Principal Responsibilities and Essential Duties:

Build data pipelines as per data transformation specifications to convert source data to be loaded into data lake using proprietary big data processing platform

โ€ข Supports and improves current data ingestion processes for our proprietary healthcare data applications and systems

โ€ข Develop and maintain data engineering processes using a variety of tools including T-SQL, Spark and Scala, and shell scripting.

Generally focused on data ingestion for healthcare data management, data validation, statistical report generation, and program validation.

โ€ข Develop tools and techniques for improving process efficiencies and data performance.

โ€ข Review & test the data to ensure accuracy & validity of the data prior to uploading the data to the data lake.

โ€ข Data Troubleshooting and Analysis

โ€ข Perform data analysis, data mining and investigations and identify root cause of issues using several cutting-edge data analysis tools.

Work with Technical Operations to troubleshoot complex database issues related to the entire environment including

 OS, storage, and servers. Provide off hours support to resolve production issues when necessary

โ€ข Mentor junior team members in data engineering and quality best practices

โ€ข Oversees the delivery of business priorities in a Scaled Agile Framework (SAFe) environment

Job Requirements

- SQL Queries ETL Process

- End to End Linux experience Healthcare experience preferred Hadoop

- nice to have Spark Advanced SQL experience EST preferred time zone

Desired Skills & Experience -

โ€ข Experience with healthcare data preferably in a data operations role.

โ€ข Data expert with the ability to debug data issues, identify root causes and fix the data issues in a fast-paced environment.

โ€ข Experience operating in an Agile environment.