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Data Jobs in Baltimore, MD (NOW HIRING)

Novocure

Data Architect

Baltimore, MD

$63.25 - $81.50/hr

Data Architect Hybrid / Full Time / Wayne, PA or Portsmouth, NH At Novocure, we're working to extend the lives of patients battling some of the most aggressive cancers. Every role here contributes to ...

WSSC Water

Data Architect

Laurel, MD

$63.25 - $81.25/hr

The Data Architect plays a critical role in designing and implementing secure, scalable data architectures that integrate operational and enterprise data from sources such as SCADA systems, IoT ...

Cymertek Corporation

Data Modeler

Annapolis Junction, MD · On-site

$56 - $72.50/hr

Cymertek Corporation is seeking a detail-oriented and innovative Data Modeler to join their team. The role involves designing and maintaining efficient data structures, translating complex business ...

Booz Allen Hamilton, Inc.

Data Architect

Columbia, MD · On-site +1

$86K - $198K/yr

Share Data Architect The Opportunity: For an organization to transform in today's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more ...

Booz Allen Hamilton

Data Scientist

Fort George G Meade, MD · On-site

$99K - $225K/yr

R0245296 Data Scientist The Opportunity: Ever-expanding technologies like IoT, machine learning, and artificial intelligence are generating more structured and unstructured data than ever before. As ...

Booz Allen Hamilton

Data Architect

Columbia, MD

$86K - $198K/yr

Data Architect The Opportunity: For an organization to transformintoday's digital world, it needs to properly collect, store, and organize its data. Effective data management can enable more ...

Govcio LLC

Data Scientist

Fort George G Meade, MD · On-site

$156K - $176K/yr

GovCIO is currently hiring for a Data Scientist to define the characteristics of high-quality training data . This position will be located in Fort Meade, MD and will be an onsite position.

AaraTechnologies Inc

DATA ANALYST

Maryland City, MD · On-site

Data Analyst Banking (2-3 Years Experience) Company: AaraTech Inc About the Role AaraTech Inc is seeking a Data Analyst Banking to support reporting and analytics for banking and payments platforms.

Infojini Inc

Data Analyst

Linthicum Heights, MD

Lead data warehousing efforts and performing data analysis as needed across sets of transactional, operational, device, and various other data sources. Coordinate with the development team, business ...

Agile Defense

Data Architect

Aberdeen Proving Ground, MD · Hybrid

$68.25 - $87.75/hr

Data Architect Location: 6560 Surveillance Loop, Building 6007, Aberdeen Proving Ground, Maryland 21005 (Hybrid) Clearance Level: Active DoD - Interim Secret Required Certification(s)

Cymertek

Data Modeler

Annapolis Junction, MD · On-site

$56 - $72.50/hr

Data Modeler LOCATION Annapolis Junction, MD 20701 CLEARANCE TS/SCI Full Poly (Please note this position requires full U.S. Citizenship) KEY SUMMARY We are seeking a detail-oriented and innovative ...

Amivero

Data Scientist

Columbia, MD · On-site

Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved. Our team of technologists ...

iNovex Information Systems

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Job Brief Data Science, Python, Jupyter Are you VIGILANT about your career? RealmOne definitely is! RealmOne was built on the principle that people matter first and foremost. We believe in providing ...

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

We are hiring a Data Scientist to work in the Fort Meade, MD vicinity . Position location is subject to change based on central MD client's needs. Required: TS/SCI with a Polygraph Employ some ...

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All JobsData JobsData Jobs in Baltimore, MD

Data information

See Baltimore, MD salary details

$45.7K

$164K

$241.9K

How much do data jobs pay per year?

As of Jul 28, 2026, the average yearly pay for data in Baltimore, MD is $163,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,600.00 and $168,900.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 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 is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

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 interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

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 skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
More about Data jobs
What are the most commonly searched types of Data jobs in Baltimore, MD? The most popular types of Data jobs in Baltimore, MD are:
What are popular job titles related to Data jobs in Baltimore, MD? For Data jobs in Baltimore, MD, the most frequently searched job titles are:
What job categories do people searching Data jobs in Baltimore, MD look for? The top searched job categories for Data jobs in Baltimore, MD are:
What cities near Baltimore, MD are hiring for Data jobs? Cities near Baltimore, MD with the most Data job openings:
Data jobs near you
Infographic showing various Data job openings in Baltimore, MD as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,968 per year, or $78.8 per hour.

Data Scientist 3

Data Computer Corporation of America

Annapolis, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 16 days ago

Job description

DCCA is a veteran-owned IT business specializing in providing innovative solutions to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer career growth opportunities and a competitive compensation and benefits package. Visit our website at: www.dcca.com
Data Scientist 3
Candidate must have an active TS/SCI W/ POLYGRAPH
For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA's successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.
Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.
Job Requirements:
Key Tasks:
• Full Stack Agile development of web-based enterprise solutions utilizing Spring Boot, Microservices, Java17, React/Redux, HTML5, CSS3, SCSS, CSS frameworks, JavaScript/Typescript, JSON, Develop algorithms and conduct analysis using state-of-the-art machine learning/artificial intelligence tools
• Built and/or deploy AI algorithms especially in cloud environments
• Establish scalable, efficient, and automated processes for large scale ML model deployments and integration.
Required Skills:
• The ideal candidate shall possess a bachelor's degree in Computer Science or Computer Engineering or other technical degree.
• Experience with AI/ML RMF SSP authorization
• Experience with AI/ML services contract and configurations
• Experience with AI/ML request security review
• A security clearance or the ability to obtain a security clearance is required. Candidates should have experience with large software systems and the full software development lifecycle
• Involved with setting up the data pipeline, machine learning framework-from data discovery to model deployment-in a big data environment.
• Experience deploying robust machine learning
• Built and/or deploy AI algorithms
• Exposure to machine learning concepts (feature engineering, text classification, and time series prediction) and frameworks with interest in learning more.
• Strong troubleshooting, debugging and problem-solving skills
• Ability to quickly explore, evaluate and learn new technologies
• Strong communication skills, verbal and written. Includes the ability to effectively communicate complex information to audiences with varying technical and system backgrounds and at multiple organizational levels
Education/Certifications:
10 years of experience analyzing datasets and developing analytics, and 10 years of experience programming with data analysis software such as R, Python, SAS, or MATLAB.
• Associate Engineer (CT7): Entry-level to experienced, but still a learner typically with an advanced degree and 0 years experience or bachelors degree and 0-2+ years experience or equivalent
• Engineer 1 (CT8): Career level typically with an advanced degree and 3+ years experience or bachelors with 5+ years experience or equivalent
• Senior Engineer (CT9): Emerging authority typically with an advanced degree and 7+ years experience or bachelors with 9+ years experience or equivalent; applies extensive expertise
• Principal Engineer (CT10): Expert, authority in discipline typically with an advanced degree and 12+ years experience or bachelors with 14+ years experience or equivalent
• Engineer Consultant (CT11): Senior consultant to top management typically with an advanced degree and 18+ years experience or bachelors with 20+ years experience or equivalent
The proposed salary range for this position in Maryland is 75,000 to 210,000. Final salary will be determined based on various factors. Our comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.
At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we're able to do through our consistent commitment to building culture and comprehensive benefits.
Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.
Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we're here to help you grow your career and create lasting relationships.
Emphasis on Inclusivity: DCCA's culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.
Empowering Health: DCCA's benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page.
Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today's IT problems.
Equal Opportunity Employer including Disability/Vets

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