1

Data Aggregation Jobs (NOW HIRING)

Senior Data Engineer

Rosemont, PA

$92K - $125K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Abington, PA

$102K - $138K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Blue Bell, PA · On-site

$101K - $137K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

North Wales, PA

$102K - $139K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Maple Glen, PA

$94K - $128K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Bryn Mawr, PA

$92K - $125K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Villanova, PA · On-site

$96K - $131K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Devault, PA

$103K - $141K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Richboro, PA · On-site

$101K - $137K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

$105K - $143K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Eagleville, PA

$104K - $142K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Norristown, PA

$101K - $137K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Northampton, PA · On-site

$102K - $139K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Audubon, PA

$106K - $145K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Zieglerville, PA

$104K - $141K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Earlington, PA · On-site

$106K - $144K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Cheltenham, PA · On-site

$101K - $138K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Senior Data Engineer

Silverdale, PA

$100K - $137K/yr

The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments. Roles and ...

Showing results 41-60

Data Aggregation information

What is a data aggregation?

A Data Aggregation job involves collecting, processing, and organizing large datasets from multiple sources to provide meaningful insights. Professionals in this role ensure data accuracy, consistency, and accessibility for analysis or reporting. They may work with databases, APIs, and automation tools to streamline data collection. This role is essential in industries like finance, marketing, and healthcare, where data-driven decisions are critical.

What are the key skills and qualifications needed to thrive in the data aggregation position, and why are they important?

To thrive in Data Aggregation, you need strong analytical skills, attention to detail, and a solid understanding of data management principles, often supported by a degree in statistics, information technology, or a related field. Familiarity with data aggregation tools and platforms such as SQL, Excel, Python, and business intelligence software is highly beneficial. Excellent problem-solving abilities, organizational skills, and effective communication are crucial soft skills in this role. These competencies ensure accurate, efficient compilation and validation of data from multiple sources, enabling valuable insights and informed business decisions.

What are some common challenges faced by professionals working in data aggregation roles?

Professionals in data aggregation roles often encounter challenges such as dealing with large and inconsistent datasets, ensuring data accuracy, and integrating information from multiple, sometimes incompatible sources. Addressing data quality issues and maintaining robust documentation require meticulous attention and a systematic approach. Teamwork and communication are also important, as these roles typically involve collaboration with data analysts, IT specialists, and business stakeholders to deliver comprehensive reports or analyses. Adaptability and a willingness to learn new tools can help you excel when facing evolving data needs or organizational requirements.

More about Data Aggregation jobs

What are the most commonly searched types of Data Aggregation jobs?

The most popular types of Data Aggregation jobs are:

What states have the most Data Aggregation jobs?

States with the most job openings for Data Aggregation jobs include:

What other helpful pages are available for Data Aggregation?

Other pages related to Data Aggregation:

Infographic showing various Data Aggregation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Senior Data Engineer

Rosemont, PA

Techvilla Solutions
IT Services • 51 - 200 employees

$92K - $125K/yr

Full-time

Posted 10 days ago


Job description

We are seeking a Senior Data Engineer to design, develop, and maintain scalable data pipelines and data ingestion processes using modern Big Data technologies. The ideal candidate will have strong experience in data aggregation, transformation, validation, quality management, ETL, and troubleshooting across large-scale data environments.

Roles and Responsibilities
  • Design, develop, and maintain complex data pipelines and data ingestion processes for data lake environments.

  • Develop data transformation processes to aggregate, standardize, link, validate, and load data from multiple sources.

  • Build and maintain data engineering solutions using Spark, Scala, Hadoop, Hive, SQL/T-SQL, and Shell scripting.

  • Perform data validation, quality checks, analysis, and troubleshooting to ensure data accuracy and integrity.

  • Analyze data issues, perform root-cause analysis, and implement solutions to improve data quality and pipeline performance.

  • Develop tools and processes to improve data processing efficiency, reliability, and performance.

  • Work with technical and operations teams to troubleshoot complex issues involving databases, Linux environments, storage, and servers.

  • Support production environments and resolve critical data and pipeline issues as needed.

  • Generate statistical and operational reports and perform program/data validation.

  • Mentor junior data engineers on data engineering, troubleshooting, and data quality best practices.

  • Collaborate with cross-functional teams in an Agile/SAFe environment to deliver projects within defined timelines.

Required Qualifications
  • 8–10 years of overall industry experience with a Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.

  • 5+ years of experience in data aggregation, standardization, data linking, quality checks, and reporting.

  • 5+ years of experience with Big Data technologies such as Hadoop and Spark.

  • 5+ years of experience with relational databases such as Oracle and Microsoft SQL Server.

  • Strong experience with SQL, advanced SQL queries, ETL processes, and data integration tools.

  • Strong understanding of Linux environments, shell scripting, and file systems.

  • Hands-on experience with Spark and Scala.

  • Strong data analysis, debugging, troubleshooting, and root-cause analysis skills.

  • Experience working in an Agile development environment.

Preferred Qualifications
  • Experience working with healthcare data or in a healthcare data operations environment.

  • Experience with Hive and additional Big Data technologies.

  • Experience with data lake and large-scale data ingestion platforms.

  • Experience working in Scaled Agile Framework (SAFe) environments.

  • Availability to support production issues outside standard business hours when required.

  • EST time-zone availability is preferred.