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Data Extraction Analyst Jobs in Washington (NOW HIRING)

Real Soft, Inc.

Data Profiler

Columbia, MD · On-site

Experience with cyber data analysis , including monitoring and reporting * Experience with data extraction, transformation, and preparation (ETL) * Strong attention to detail and ability to work ...

GDIT

Data Scientist - TS/SCI w/Poly

Mclean, VA · On-site

$212K - $287K/yr

Additionally, they will provide support in the areas of data extraction, transformation and load (ETL), data mapping, analytics, operations, databases, and maintenance of data and associated systems.

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Closure Technologies

Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Responsibilities : • Designing, implementing, and optimizing data extraction, cleansing ... Company : Closure Technologies offers big data, analytics, cloud infrastructure, software ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

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Data Extraction Analyst information

What is the difference between Data Extraction Analyst vs Data Analyst?

AspectData Extraction AnalystData Analyst
Primary FocusExtracting, cleaning, and preparing data from various sourcesAnalyzing data to identify trends and support decision-making
Skills & ToolsSQL, data scraping, ETL tools, data managementExcel, statistical analysis, visualization tools, SQL
Work EnvironmentData warehouses, databases, ETL pipelinesReporting platforms, dashboards, business intelligence tools
Common IndustriesIT, finance, marketing, e-commerceFinance, healthcare, marketing, consulting

While both roles involve working with data, Data Extraction Analysts focus on retrieving and preparing data for analysis, whereas Data Analysts interpret and analyze data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

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

To thrive as a Data Extraction Analyst, strong analytical skills, attention to detail, and proficiency in data management are essential, often supported by a degree in computer science, information systems, or a related field. Familiarity with ETL (Extract, Transform, Load) tools, SQL databases, and data visualization software is typically required, and certifications in data analytics or database management can be advantageous. Excellent problem-solving abilities, communication skills, and adaptability help analysts effectively interpret data requirements and collaborate with stakeholders. These skills ensure accurate data extraction, support informed decision-making, and maintain data integrity in complex organizational environments.

What is a data extraction analyst?

A Data Extraction Analyst is a professional responsible for collecting, processing, and interpreting data from various sources, such as databases, documents, and websites. They use specialized tools and software to extract relevant data, ensuring its accuracy and integrity. Their work supports business decisions, reporting, and analytics by making data accessible and usable for organizations. Data Extraction Analysts often collaborate with IT, data science, and business teams to streamline data workflows and comply with data privacy regulations.

What are the most common challenges data extraction analysts face when working with unstructured data sources?

Data Extraction Analysts often encounter challenges when dealing with unstructured data, such as inconsistent formats, incomplete records, and noisy or irrelevant information. Extracting reliable data from sources like scanned documents, emails, or social media posts requires advanced tools and techniques, including optical character recognition (OCR) and natural language processing (NLP). Overcoming these challenges typically involves close collaboration with data engineers and subject matter experts, as well as continuous refinement of extraction processes to maintain data quality and accuracy.
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What job categories do people searching Data Extraction Analyst jobs in Washington look for? The top searched job categories for Data Extraction Analyst jobs in Washington are:
What cities in Washington are hiring for Data Extraction Analyst jobs? Cities in Washington with the most Data Extraction Analyst job openings:
Data Extraction Analyst jobs near you
Infographic showing various Data Extraction Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Palantir Data Engineer

Accenture Federal Services

Chantilly, VA • On-site

$118K - $142K/yr

Full-time

Re-posted 2 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 482 rated business services

Job description

Job Summary:
Accenture Federal Services is dedicated to helping the US federal government enhance safety and improve lives through technology. The Palantir Data Engineer will develop and implement data transformation pipelines, integrate external systems via API, and conduct code reviews while working collaboratively within a small team.
Responsibilities:
• Movement of structure and unstructured data using approved methods.
• Execute data ingestion activities for storing data in a local or enterprise level location.
• Develop code to format data that supports exploration.
• Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
• Develop code and tools to provide one-time and on-going data extraction from various repositories, formatting and transformations into enterprise or standalone data models.
• Develop new ETL and perform O&M and enhancements on existing ETL code using best practices/standards.
• Develop and deliver documentation for each project including ETL mappings, code use guide, code location, and access instructions.
• Perform tier 2 level triage with customers and translate concerns into specific requirements.
• Develop new tools, code, and services to execute data engineering activities involving data of varying types and in varying conditions.
Qualifications:
Required:
• 4 to 7+ years of experience with all of the following:
• Python
• TypeScript
• Development and maintenance of extract, transform and load (ETL) tools and services
• Cloud and on-prem data storage and processing solutions
• Python, SQL, Spark and other data engineering programming
• COTS and open-source data engineering tools such as ElasticSearch and NiFi Agile / Scrum
• Active TS/SCI with Poly clearance is required
Preferred:
• Palantir Foundry
• Palantir Pipeline Builder
• Palantir Workshop
Company:
Accenture Federal Services is a leading US federal services company and subsidiary of Accenture. Founded in 1989, the company is headquartered in Arlington, USA, with a team of 10001+ employees. The company is currently Late Stage.

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