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Data Aggregation Jobs in Washington (NOW HIRING)

JTEC Consulting LLC

Data Scientist

Mclean, VA · On-site

... aggregation and statistical analysis up to an including complex data mining • Support data-centric solutions through database support, big data analysis, and implementation of data models • Apply ...

JTEC Consulting LLC

Data Scientist

Mclean, VA · On-site

... aggregation and statistical analysis up to an including complex data mining • Support data-centric solutions through database support, big data analysis, and implementation of data models • Apply ...

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Data Aggregation information

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$7

$32

$75

How much do data aggregation jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for data aggregation in Washington is $32.56, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $46.46 per hour, depending on experience, location, and employer.

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.

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

The most popular types of Data Aggregation jobs in Washington are:

What are popular job titles related to Data Aggregation jobs in Washington?

For Data Aggregation jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Data Aggregation jobs in Washington look for?

The top searched job categories for Data Aggregation jobs in Washington are:

Data Aggregation jobs near you
Infographic showing various Data Aggregation job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, 2% Temporary, and 7% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution, with an average salary of $67,726 per year, or $32.6 per hour.

Junior Python Data Scientist [$188k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$188K/yr

Other

Posted 6 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Perform data science, big data aggregation, and automation using advanced analytical tools. • Leverage Python, PySpark, C++, and SIGDEV to drive data-driven insights and access discovery. • Utilize prior CNO experience to support complex technical objectives. Qualifications & Compensation: • Degree: Technical bachelor's degree or equivalent experience • Years of experience: 5+ years • Total Compensation: $188k+ yearly Job Description: • Conduct big data aggregation, Pandas data frame manipulation, and metrics tracking. • Develop automation scripts and interactive tools using Python and Jupyter Notebooks. • Apply SIGDEV capabilities and analytical tools for access discovery and enablement. • Utilize PySpark for large-scale data processing. • Support C++ and mobile application analysis tasks as required. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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