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Data Associate Jobs in Maryland (NOW HIRING)

Data Associate Engineer (Remote)

Baltimore, MD · Remote

$113K - $136K/yr

Understands data needs and advise company on technological resources. Partners with senior level ... The associate is primarily seated while performing the duties of the position. Occasional walking ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Operations Associate Got an eye for detail and a knack for keeping things organized? We want you. Home Surplus is growing, and we need a sharp, reliable Data Operations Associate to help keep ...

Home Surplus is growing, and we need a sharp, reliable Data Operations Associate to help keep our operations running like a well-oiled machine. If you love clean spreadsheets, accurate records, and ...

Home Surplus is growing, and we need a sharp, reliable Data Operations Associate to help keep our operations running like a well-oiled machine. If you love clean spreadsheets, accurate records, and ...

Home Surplus is growing, and we need a sharp, reliable Data Operations Associate to help keep our operations running like a well-oiled machine. If you love clean spreadsheets, accurate records, and ...

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Showing results 1-20

Data Associate information

See Maryland salary details

$13

$32

$54

How much do data associate jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data associate in Maryland is $32.10, according to ZipRecruiter salary data. Most workers in this role earn between $23.80 and $38.03 per hour, depending on experience, location, and employer.

What is the role of a data associate?

A data associate is responsible for collecting, organizing, and maintaining data within databases or systems. They often verify data accuracy, perform data entry, and support data analysis tasks using tools like Excel or database management software. Attention to detail and strong organizational skills are essential for this role.

Can I be a data analyst with no experience?

Data analyst roles typically require some knowledge of data analysis tools like Excel, SQL, or Python, and understanding of data visualization. While prior experience is often preferred, entry-level positions may be available for candidates with relevant skills, certifications, or coursework. Building a portfolio of projects can also improve chances of securing a data analyst position without formal experience.

What is the difference between Data Associate vs Data Analyst?

AspectData AssociateData Analyst
Required CredentialsBachelor's degree in related field, basic data handling skillsBachelor's or higher, often with specialized training in data analysis or statistics
Work EnvironmentData entry, data cleaning, supporting data management teamsAnalyzing data, creating reports, interpreting data trends
Employer & Industry UsageCommon in healthcare, finance, and tech companies for data support rolesUsed across industries for data-driven decision making

Data Associates focus on data entry, cleaning, and supporting data management tasks, often requiring basic technical skills. Data Analysts perform deeper analysis, interpret data, and generate insights, typically needing more advanced analytical skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What are the top 3 skills for a data analyst?

For a data analyst, key skills include proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software such as R or Python. Strong analytical thinking, attention to detail, and the ability to communicate insights effectively are also essential. Familiarity with data visualization tools like Tableau or Power BI enhances their ability to present findings clearly.

What are Data Associates?

Data Associates are professionals who collect, manage, process, and ensure the quality of data within an organization. They often work with databases, spreadsheets, and software tools to organize and validate data, making it accessible and accurate for analysis and reporting. Data Associates may also assist with data entry, cleaning, and basic analysis tasks, supporting teams like data analysts or data scientists. Their work is crucial for maintaining reliable information that drives business decisions.

Is 40 too late for data science?

Age is not a barrier to becoming a data associate or transitioning into data science. Many professionals successfully switch careers or start new roles later in life by acquiring relevant skills such as programming, statistics, and data analysis, often through online courses or certifications. Employers value experience and skills over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Data Associate, you need strong analytical skills, attention to detail, and a solid foundation in data management or statistics, often supported by a bachelor's degree in a related field. Familiarity with data analysis tools such as Excel, SQL, and sometimes Python or data visualization software is commonly required. Excellent organization, problem-solving abilities, and effective communication help individuals stand out in this role. These skills ensure accurate data handling, reliable reporting, and clear collaboration across teams, which are critical for data-driven decision-making.

How does a Data Associate typically collaborate with other teams within an organization?

Data Associates frequently work alongside analysts, engineers, and business stakeholders to ensure data accuracy and accessibility. They may be responsible for gathering data from various sources, cleaning datasets, and supporting the data needs of other departments. Effective communication and teamwork are essential, as Data Associates often receive requests for reports or data updates and must coordinate with technical and non-technical colleagues to deliver actionable insights. This collaborative environment helps Data Associates learn about different business functions and can open doors for career growth.
What are the most commonly searched types of Data jobs in Maryland? The most popular types of Data jobs in Maryland are:
What are popular job titles related to Data Associate jobs in Maryland? For Data Associate jobs in Maryland, the most frequently searched job titles are:
What job categories do people searching Data Associate jobs in Maryland look for? The top searched job categories for Data Associate jobs in Maryland are:
What cities in Maryland are hiring for Data Associate jobs? Cities in Maryland with the most Data Associate job openings:
Infographic showing various Data Associate job openings in Maryland as of July 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution, with an average salary of $66,768 per year, or $32.1 per hour.
Data Intelligence - Engineer, Data Associate

Data Intelligence - Engineer, Data Associate

Ampcus Inc

Columbia, MD • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are in search of a highly motivated candidate to join their talented team as a Data Intelligence - Engineer, Data Associate. The role involves understanding data needs, developing reports and tools for business users, and ensuring high data quality through reliable data loading processes.
Responsibilities:
• Analyzes and validates existing routines and communicates impacts.
• Assists with data transformation, manipulation, and presentation to users.
• Works with Business Analysts, Business Intelligence Developers, Infrastructure Architects, and key business users to review, design, and develop data models and ETL processes.
• Supports the Software Engineering team with data analysis and validation with extensive SQL queries.
• Writes and executes ETL code, primarily complex SQL stored procedures, but with a strong ability to leverage other technologies.
• Partner with senior team members on the design, configuration and implementation of Data Integration Framework.
Qualifications:
Required:
• Bachelor's Degree in Information Technology or Computer Science or Engineering
• In lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.
• Previous Provider data experience working with leadership on provider data issues, accuracy, and provider data interactions with claims and claims platforms.
• Knowledge of Salesforce and Facets is required.
• Experience with reporting to leadership and working remotely with teams.
• Ability to perform each essential duty satisfactorily.
Preferred:
• Knowledge and understanding of at least one programming language (i.e., SQL, NoSQL, Python).
• Knowledge and understanding of data exchange formats.
• Knowledge and understanding of database design and implementation concepts.
• Knowledge and understanding of data movement concepts.
• Ability to recognize, analyze, and solve a variety of problems.
• Excellent communication skills both written and verbal.
Company:
Ampcus is a global business, technology consulting and an staff augmentation firm specializing in AI/ML,digital solutions, Cybersecurity & Risk management, Testing, Forensics & Fraud services and human capital management. Founded in 2004, the company is headquartered in Chantilly, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Ampcus logo

About Ampcus

Sourced by ZipRecruiter

Ampcus Inc. is a ISO 20000, ISO 27000, ISO 9001, CMMI DEV/3 SM and CMMI SVC/3 SM certified global provider of a broad range of Technology and Business consulting services. From strategy to execution, our disciplined yet flexible approach starts and ends with our clients. By listening hard and working harder, client goals become our goals. Their success is our satisfaction. It’s why our clients sleep well at night. We believe that the success of an engagement is determined by strong project management, as well as clear communication and mutual commitment working collaboratively. Our methodology begins with listening to the customer about their needs, then working with their team to gain a clear understanding of the requirements, while providing knowledge transfer of best practices for the organization.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Chantilly, VA, US

Year founded

2004