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Data Aggregation Jobs in Washington (NOW HIRING)

Gormat

Data Scientist 3

Annapolis Junction, MD · On-site

$132K - $147K/yr

You will also preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting and maintain Python automation packages to be utilized by DOD personnel. The Level 3 Data ...

Gormat

Data Scientist 3

Annapolis Junction, MD

You will also preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting and maintain Python automation packages to be utilized by DOD personnel. The Level 3 Data ...

Brillient

Data Scientist

Silver Spring, MD · On-site

Brillient has an immediate need for a Data Scientist to our government client's data science workstream including data aggregation and analytic projects to support both regulatory review and ...

Knowledge Management, Inc

SharePoint SME

Arlington, VA

$150K - $165K/yr

This individual will support operations, data aggregation, and Common Operational Picture (COP) maintenance in a SharePoint and/or Teams channel environment on both SIPR & NIPR networks. Key ...

Knowledge Management, Inc.

SharePoint SME

Arlington, VA · On-site

$150K - $165K/yr

This individual will support operations, data aggregation, and Common Operational Picture (COP) maintenance in a SharePoint and/or Teams channel environment on both SIPR & NIPR networks. Key ...

Knowledge Management, Inc.

SharePoint SME

Arlington, VA · On-site

$150K - $165K/yr

This individual will support operations, data aggregation, and Common Operational Picture (COP) maintenance in a SharePoint and/or Teams channel environment on both SIPR & NIPR networks. Key ...

vetegrity

Data Scientist 3

Annapolis Junction, MD · On-site

... aggregation, transformation, curation, and error correction - Familiarity with data visualization tools (e.g., Plotly, Shapely, GeoPandas, Kibana, Elastic, SQL, Jupyter) - Experience with ETL ...

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Data Aggregation information

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$32

$75

How much do data aggregation jobs pay per hour?

As of Jun 21, 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 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 is a Data Aggregation job?

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 skills of data aggregation?

Data aggregation requires skills in data collection, cleaning, and processing using tools like Excel, SQL, or data analysis software. It also involves strong attention to detail, understanding of data structures, and the ability to interpret and visualize data effectively.

How to become a data aggregator?

To become a data aggregator, develop skills in data collection, cleaning, and analysis using tools like Excel, SQL, or Python. Gaining experience with data management and understanding data sources is essential, and some roles may require a degree in information technology, computer science, or related fields.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually. These positions typically require advanced skills in analytics, machine learning, and leadership, along with relevant certifications and experience managing large data teams.

What does a data aggregator do?

A data aggregator collects, compiles, and organizes data from multiple sources to provide comprehensive datasets for analysis or reporting. They often use tools like databases and data management software and need strong attention to detail and data handling skills.
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 June 2026, with employment types broken down into 1% As Needed, 97% Full Time, and 2% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $67,726 per year, or $32.6 per hour.

Data Scientist 3

Gormat

Annapolis Junction, MD • On-site

$132K - $147K/yr

Full-time

Posted 15 days ago

Job description

We are seeking a Data Scientist with a strong background in automation for reporting purposes. You will complete data transformation and modeling using SQL and Python (Pandas, PySpark, or Polars is preferred) and design scalable ETL workflows, implementing incremental and batch data ingestion with robust data validation. You will also preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting and maintain Python automation packages to be utilized by DOD personnel.
The Level 3 Data Scientist shall possess the following capabilities:
  • Foundations: (Mathematical, Computational, Statistical).
  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility).
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations).
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge.
  • Ability to use analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique feature and limitations inherent in Government data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Present complex data findings through various visualizations, graphics, charts, and dashboards. Perform data aggregation, processing, and curation. Identify and assist in the correction of data errors. Requires python, jupyter, experience with customer dataflow and processing. If they have expereince with NLP or AI/LLMs that will be beneficial.

Qualifications:
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics (typically 300 level or higher, such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g. algorithms, programming, , data structures, data mining, artificial intelligence). College-level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least on high level language (e.g. Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering.
  • Experience designing ETL workflows.
  • Experience with SQL and Python (Pandas, PySpark, or Polars preferred).
  • Experience automating dashboards using PowerBI or Tableau is a plus.

TS/SCI with polygraph is required.

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