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Data Jobs in Crofton, MD (NOW HIRING)

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management services to the US Coast Guard. Our service offerings have grown in the past ten years, including ...

Virtual Enterprise Architects

Data Architect

Washington, DC · On-site

$70.50 - $90.75/hr

Virtual Enterprise Architects, LLC is looking for a Data Architect to serve our client in Washington, DC. The candidate will be challenged with assist programs in developing data models and ...

Ignatiuz.com

Data Architect

Bethesda, MD · On-site

$68.25 - $87.75/hr

The Data Architect will not be involved in development practices. Technical Reference Architectures for different types of data * Operational Data * Master/Reference Data strategy/platforms

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Showing results 21-40

All JobsData JobsData Jobs in Crofton, MD

Data information

See Crofton, MD salary details

$46.5K

$166.9K

$246.3K

How much do data jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data in Crofton, MD is $166,885.00, according to ZipRecruiter salary data. Most workers in this role earn between $135,000.00 and $171,900.00 per year, depending on experience, location, and employer.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and managing data using tools like SQL, Python, and data visualization software, often requiring strong analytical skills and knowledge of data management principles.

What data jobs are there?

Data jobs include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and may involve working with large datasets, data visualization, and machine learning techniques.
More about Data jobs

What are the most commonly searched types of Data jobs in Crofton, MD?

The most popular types of Data jobs in Crofton, MD are:

What job categories do people searching Data jobs in Crofton, MD look for?

The top searched job categories for Data jobs in Crofton, MD are:

What cities near Crofton, MD are hiring for Data jobs?

Cities near Crofton, MD with the most Data job openings:

Data jobs near you
Infographic showing various Data job openings in Crofton, MD as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $166,885 per year, or $80.2 per hour.

Project Perseus \u007C Data Quality Team Lead (Human-in-the-Loop AI)

Welo Data

Washington, DC

$43.50/hr

Full-time

Re-posted 23 days ago

Job description

Overview

Welo Data is looking for a Data Quality Lead to oversee teams of Data Quality Analysts supporting AI model evaluation and improvement.

This role is equal parts people leadership, quality ownership, and operational thinking.

You’ll be responsible for guiding teams through fast-changing work, ensuring high-quality output, and acting as a bridge between analysts and stakeholders. This is not just about managing throughput — it’s about shaping how quality is defined, measured, and improved in a human-in-the-loop environment.

Project Details

  • Job Title: Data Quality Lead
  • Hiring in: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston
  • Hours: Full-time, 40 hours per week
  • Employment Type: W2 Full-Time Employee
  • Pay rate: $43.50/ hour
  • Contract Duration: 1-year contract with possibility of extension

Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston. Please only apply if you meet this location requirement.

What You’ll Do
  • Lead and support a team of Data Quality Analysts
  • Oversee overall operational performance across workflows and teams
  • Ensure team activities align with broader business objectives and program goals
  • Drive the success of key initiatives across quality, delivery, and team performance
  • Own quality across workflows — including audits, calibrations, and feedback loops
  • Identify trends, risks, and gaps in model performance and data quality
  • Translate ambiguous or evolving guidelines into clear team direction
  • Run calibrations and ensure consistency across reviewers
  • Partner with stakeholders to align on quality standards and expectations
  • Prioritize and support hiring of linguists and specialized talent as needed
  • Drive continuous improvement across processes, tooling, and evaluation methods
  • Step into edge cases and complex decisions when needed
  • Support team growth, coaching, and performance management
What We’re Looking For
  • 5–8 years of experience in data quality, QA, AI/ML operations, or related fields
  • 2+ years of experience leading teams in data quality, QA, or AI/ML-related work at scale
  • Native-level English proficiency and a university degree (Bachelor’s or higher).
  • Proficiency in languages other than English is preferred, with particular interest in candidates demonstrating bilingual mastery in French, Italian, German, Spanish, or Brazilian Portuguese.
  • Strong operational mindset with experience managing performance across multiple workstreams
  • Proven ability to drive quality, delivery, and process improvements
  • Strong judgment and ability to operate in ambiguity
  • Comfortable interacting with stakeholders and representing the team
  • Ability to balance quality, speed, and evolving priorities
  • Strong communication and organizational skills
  • Deep attention to detail, with the ability to zoom out and see patterns
  • Interest in AI and how human feedback shapes model behavior 
Role Scope & Accountability

This leader is accountable for end-to-end operational success — including resource management, process optimization, and continuous improvement.

You’ll be expected to think beyond day-to-day execution and focus on long-term outcomes, ensuring the team consistently meets targets across quality, delivery, and overall program performance.

Benefits
  • Paid Vacation: 6 days
  • Paid Company Holidays: 2 days (Memorial Day and Labor Day)
  • Paid Sick Leave: accrued per applicable state law and company policy
  • Medical, Dental, and Vision Insurance (eligibility applies)
  • Health Savings Account (HSA)
  • 401(k) Retirement Plan
  • Employee Assistance Program
  • Additional voluntary benefits (life, accident, critical illness, etc.)
  • Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes.
  • Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix.
  • Unique Campus Features: Some locations include roof-top nature parks
  • Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.
Why This Role

You’ll be at the center of how AI systems are evaluated in the real world — helping define quality, guide teams, and influence how models improve over time.

Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.
 
To know more details (Click here)
 
In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.
 
 
As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com
 
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Working at Welo Data

What to expect from working at Welo Data

From Welo Data

About Welo Data, in their own words

From Welo Data

Welo Data is a global AI data services company powering the next generation of AI. We build, annotate, and validate the training datasets that make AI models accurate, safe, and ready for the real world — across languages, cultures, and domains.

Our team of experts spans the globe, combining deep technical knowledge with a human-centered approach. If you want your work to shape how AI understands the world, you'll find your place here.

Diversity and inclusion statement

From Welo Data

Our Strength is derived from Winning Together. Welo Data is unequivocally committed to developing and fostering a workplace and organizational culture that values the diversity of thought and perspective delivered by a diverse global workforce operating within an inclusive organization.