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Data Extraction Jobs in Maryland (NOW HIRING)

The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and analyzes industry ...

Chief Data Officer

Street, MD · On-site

$150 - $200/hr

Automating extraction of structured data from unstructured historical data packages. * Utilizing metadata and technical reports to prioritize relevant information for end users. * Develop and ...

Experience with data extraction, transformation, and preparation (ETL) * Strong attention to detail and ability to work through complex technical challenges * Willingness to obtain required ...

Fluency with data extraction, custom translation development, and loading including data prep and labeling to enable data analytics. * Familiarity with various log formats such as JSON, XML, and ...

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Data Extraction information

See Maryland salary details

$11

$28

$69

How much do data extraction jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data extraction in Maryland is $28.09, according to ZipRecruiter salary data. Most workers in this role earn between $15.09 and $31.15 per hour, depending on experience, location, and employer.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

How to become a data extraction?

To become a data extraction specialist, develop skills in data analysis, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects in this field.

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

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the most commonly searched types of Data Extraction jobs in Maryland? The most popular types of Data Extraction jobs in Maryland are:
Infographic showing various Data Extraction job openings in Maryland as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $58,423 per year, or $28.1 per hour.

$80K - $95K/yr

Other

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Job description

POSITION SUMMARY

Please Note: Applicants must currently reside within the Washington, DC metropolitan area to be considered for this position. At this time, we are only considering candidates who are authorized to work in the United States without current or future employer sponsorship.

The Data Analyst supports engagement teams across the Firm with data manipulation, extraction, and reporting. This role also drives internal data analysis for firm operations and analyzes industry-relevant datasets (Form 5500s, LM-2s, and similar filings) to generate insights that support client service, business development, and firm strategy. The analyst is responsible for turning large or complex datasets into clean, accurate, and user-friendly outputs that non-technical stakeholders can act on.

Salary Range: $80,000 $95,000 (depending on experience)

KEY RESPONSIBILITIES

Engagement Team Support

  • Assist engagement teams across service lines with data extraction and manipulation tasks including cleansing, reformatting, reconciling, and merging client-provided data files (GL detail, payroll registers, membership rosters, contribution files, AP/AR data, tax data, and other client datasets).
  • Design, build, and maintain reusable datasets by integrating data from APIs, firm systems, databases, and external sources to support analytics, dashboards, and reporting.
  • Build repeatable data workflows to streamline recurring engagement tasks such as sampling, testing, trend analysis, and reconciliations.
  • Create dashboards and reports that give engagement teams and clients quick visibility into key metrics and trends.
  • Run data analytics to identify miscoded transactions, outliers, duplicates, and other anomalies that warrant follow-up.

Internal Data Analysis

  • Analyze firm operational data including realization, utilization, WIP, billing, collections, staffing, and engagement profitability.
  • Support partners and firm leadership with ad hoc analytics for management committee reporting, engagement profitability, and resource planning.
  • Assist with data extraction and reporting from firm systems.

Industry and External Data Analysis

  • Extract, clean, and analyze publicly available data relevant to Calibre's client base, including Form 5500 filings, LM-2 filings, and other regulatory datasets.
  • Identify trends across labor unions, employee benefit plans, nonprofits, and commercial clients to support business development, proposals, and thought leadership.
  • Build benchmarking tools and comparative analyses that partners can use in client meetings and prospect conversations.

Presentation and Delivery

  • Present findings in clear, user-friendly formats including Excel workbooks, Power BI dashboards, and summary memos tailored to the audience.
  • Ensure outputs are accurate, well-documented, and easy for non-technical users to interpret and reuse.
  • Collaborate with IT and firm operations on data governance, source documentation, and version control.

COMPETENCIES

  • Strong analytical and problem-solving skills
  • Excellent oral and written communication skills, with the ability to translate technical findings for non-technical audiences
  • Attention to detail and commitment to accuracy
  • Ability to manage multiple projects and priorities across service lines
  • Discretion in handling confidential client and firm data
  • Collaborative and service-oriented mindset

POSITION TYPE

This is a full-time permanent position.

WORK ENVIRONMENT

Professional office environment with hybrid flexibility. Occasional travel to other Calibre offices or client sites may be required. Standard office equipment including computers, dual monitors, and collaboration tools.

TRAVEL

Minimal. Occasional local or overnight travel as needed.

REQUIRED EDUCATION AND EXPERIENCE

  • Bachelor's degree in Data Analytics, Accounting, Finance, Information Systems, Statistics, or a related field
  • Two or more years of experience in a data analyst or similar role
  • Proficiency in Excel (advanced formulas, Power Query, pivot tables) and SQL
  • Experience with data visualization tools such as Power BI or Tableau

PREFERRED EDUCATION AND EXPERIENCE

  • Experience working in or with a public accounting firm, professional services firm, or regulated industry
  • Familiarity with accounting systems (e.g., QuickBooks, Sage Intacct, NetSuite) or audit and tax workflows
  • Experience working with public regulatory datasets such as Form 5500, LM-2, or Census data
  • Exposure to Python, R, Alteryx, or other data manipulation platforms
  • Familiarity with AI-enabled analytics tools

WORK AUTHORIZATION

Must have valid work authorization for employment in the United States.

OTHER DUTIES

This job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

EEO: Calibre is an Equal Opportunity Employer. We consider all qualified applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under federal, state, or local law.