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Data Work Jobs in Washington (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... work into federal mission analytics. Key Responsibilities * Collect, clean, validate, and analyze structured and semi-structured program data. * Build SQL, Python, and R scripts to extract data, run ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... work into federal mission analytics. Key Responsibilities * Collect, clean, validate, and analyze structured and semi-structured program data. * Build SQL, Python, and R scripts to extract data, run ...

Barrow Wise Consulting

Claims Data Engineer

MD · On-site

$90K - $150K/yr

Work remotely An ideal candidate has the following: * U.S. Citizenship * Bachelor's degree * 7 ... data analytics * Ability to work independently and meet deadlines Join the team at Barrow Wise ...

Seneca Holdings

Data Analyst

Chantilly, VA · Remote

The successful candidate will work closely with business users, executives, and technical teams to translate business requirements into effective data and reporting solutions. Responsibilities ...

Ex Parte, Inc

Lead Data Engineer

Bethesda, MD

$122K - $146K/yr

You'll work with a cross-functional team of engineers to contribute to our data platform. The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your ...

Capital One

Manager, Data Analysis

Mclean, VA · On-site

Work with vast amounts of data in new and evolving environments * Be a part of growing and developing our brand in new and emerging markets * Leverage analytics to create a customer experience above ...

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Showing results 1-20

All JobsData Work JobsData Work Jobs in Washington

Data Work information

See Washington salary details

$52.1K

$186.9K

$275.8K

How much do data work jobs pay per year?

As of Jun 12, 2026, the average yearly pay for data work in Washington is $186,899.00, according to ZipRecruiter salary data. Most workers in this role earn between $151,200.00 and $192,500.00 per year, depending on experience, location, and employer.

What does a data worker do?

A data worker collects, organizes, and analyzes data to support decision-making and business operations. They often use tools like spreadsheets, databases, and data analysis software, and may need skills in data cleaning, management, and basic statistical analysis.

What are some common challenges faced by professionals working in data roles, and how can they be addressed?

Professionals in data work often encounter challenges such as managing large volumes of unstructured data, ensuring data quality, and collaborating across teams with varying levels of technical expertise. Addressing these challenges requires strong organizational skills, the ability to communicate findings clearly to both technical and non-technical stakeholders, and a commitment to continuous learning as tools and best practices evolve. Building relationships with colleagues in IT, analytics, and business units can also help streamline workflows and improve data accuracy.

How can I make 2000 a week working from home?

Data work roles such as data analyst, data entry, or data scientist can offer remote opportunities that, with experience and specialized skills, potentially generate $2000 or more weekly. Achieving this income typically requires advanced skills, certifications, or working on high-paying projects, often involving freelance platforms or direct client contracts.

What are the key skills and qualifications needed to thrive in Data Work, and why are they important?

To excel in Data Work, you need strong analytical abilities, attention to detail, and a solid background in mathematics or statistics, often supported by a relevant degree. Proficiency with data analysis tools such as SQL, Excel, and visualization platforms like Tableau or Power BI, as well as familiarity with programming languages like Python or R, is typically required. Effective communication, problem-solving, and collaboration skills help professionals translate complex data into actionable insights for stakeholders. These skills are crucial for ensuring accurate data interpretation, driving informed decisions, and delivering value in data-driven environments.

What job makes $10,000 a month without a degree?

In data-related fields, roles such as data analyst, data engineer, or freelance data consultant can potentially earn $10,000 or more per month with relevant skills and experience. These jobs often require proficiency in tools like SQL, Python, or R, and may involve remote work or flexible schedules.

What are the careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, database administrator, and business intelligence analyst. These positions typically require skills in programming, statistics, and data visualization tools, and often involve working with large datasets and data management systems.

What is the difference between Data Work vs Data Analysis?

AspectData WorkData Analysis
Required CredentialsOften includes certifications like Microsoft Excel, SQL, or basic data management coursesTypically requires a degree in statistics, mathematics, or related fields, along with analytical certifications
Work EnvironmentData management, data entry, database maintenance, and data cleaning tasksInterpreting data, creating reports, and deriving insights from datasets
Employer & Industry UsageUsed across industries for data organization and maintenanceCommonly employed in business, finance, marketing, and research for decision-making

Data Work involves managing and maintaining data systems, focusing on data entry and organization. Data Analysis centers on interpreting data to generate insights and support business decisions. While both roles require familiarity with data tools, Data Work emphasizes data management skills, whereas Data Analysis emphasizes analytical and interpretative skills.

What is data work?

Data work refers to the process of collecting, organizing, analyzing, and interpreting data to help organizations make informed decisions. It can include tasks like data entry, data cleaning, database management, and data analysis. People who do data work may use software tools such as Excel, SQL, or specialized analytics programs to process and visualize information. Effective data work is essential in various industries, including business, healthcare, finance, and research.
What cities in Washington are hiring for Data Work jobs? Cities in Washington with the most Data Work job openings:
Data Work jobs near you

Data Architect - active TS/SCI FSP required (Req: 293-3-24)

Cyrten

Chantilly, VA • On-site

$66 - $84.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Job description

Location: Chantilly, VA

Clearance: TS/SCI Full Scope Polygraph (active)

Remote/Hybrid/Onsite: 100% Onsite work (non-negotiable)

Type: Full-Time/Direct-Hire

Skill Level DesiredYears ExpSenior5-10Expert11-15Subject Matter Expert16+

In Bid/Vacant: Vacant

Note: Available Immediately & Benefits posted below

Introduction:

Seeking a Data Architect for a long-term program supporting an IC customer in Chantilly, VA. This position requires an active TS/SCI full-scope polygraph clearance.

The Data Architect will be responsible for defining the structure of data for Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) repositories, preparing documentation for database concepts, and working with data modelers to design and develop data models for structured, unstructured, and Data Lake/Lakehouse data. The candidate will also be involved in the design of data engineering and cloud engineering across repositories, working with Data Governance to optimize data structure and collaborating with technical disciplines to ensure a single source of truth and avoid data duplication and movement.

Define the data structure for OLTP and OLAP repositories in relational database management systems (RDBMS) and future Data Lake platforms.
Prepare documentation for database concepts, data design patterns, and preliminary data modeling.
Design and develop data models for structured, unstructured, and Data Lake/Lakehouse data.
Work with Data Governance to optimize data structure and retire or decommission stale data.
Ensure a single source of truth and avoid data duplication and movement.
Manage the logical and physical designs for data.
Work with business analysts to understand the Data flow, CRUD, ETL, and API.
Implement Zero Trust Architecture for data layers.
Provide data architecture support for the full life cycle of data management.
Define data tagging for structured databases, Data Lakes, and data quarantine.

Role:

Demonstrated experience understanding data management and data governance, data catalog, data dictionary, and dataset characteristics.
Demonstrated experience in Data Warehousing, ETL tools, Data Governance, and Analytics.
Demonstrated experience with BI reporting tools like Cognos, Power BI, and Tableau.
Demonstrated experience with logical data model (entity and relationship - ER diagram), and Data Dictionary (attributes and entities and relationship).
Demonstrated experience with relational database design, documentation, building and implementing databases.
Demonstrated experience with data life cycle - data security, data quality, data cleansing, landing zone, backup, restore, retire or archive, and data audits.

Nice to Have:

Demonstrated experience with structure, unstructured databases, and other data pipeline services.
Demonstrated experience collaborating with data producers and consumers (upstream/downstream).
Demonstrated experience understanding other data pipelines or data analytic providers via cloud marketplace or proprietary providers.
Demonstrated experience with deep-dive data analysis and ability to identify data patterns and behavior of the data.

Salary:

You know the salary range you are looking for, so let's talk after you fill out the application.

Benefits:

Our client is always looking for TS/SCI FSP Information Technology talent. The standard compensation package includes a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy.

Note:
  • No 3rd party vendors or candidates
  • US Citizenship Required
  • Active TS/SCI - FSP is Required

About Cyrten

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Lansdale, PA, US

Year founded

1998

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