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Data Analytics Jobs in Maryland (NOW HIRING)

3B Staffing LLC

Splunk Data Analytics Engineer

Gwynn Oak, MD · On-site

$119K - $143K/yr

Splunk Data Analytics Engineer - 1 role Location: Woodlawn, MD (Onsite) Visa: GC, USC Only only send candidates that are Local to the Site Location. NO RELOCATION Interview Proces: * phone screen

Quevera

Data Analytics Software Engineer

Linthicum, MD · On-site

$129 - $153/hr

Data Analytics Software Engineer Full Time Technical 4 days ago Requisition ID: 3370 Salary Range: $129,485.00 To $152,744.00 Annually Quevera is seeking a Data Analytics Software Engineer with an ...

3B Staffing LLC

Splunk Data Analytics Engineer

Gwynn Oak, MD · On-site

$119K - $143K/yr

Splunk Data Analytics Engineer - 1 role Location: Woodlawn, MD (Onsite) Visa: GC, USC Only only send candidates that are Local to the Site Location. NO RELOCATION Interview Proces: * phone screen

krg technology inc

Data Architect & Analytics

Bethesda, MD · On-site

$68.25 - $87.75/hr

... Data & Analytics solutions Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a Data (including Big Data) solution ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

This role involves building scalable data transformation frameworks and data products, designing data analytics pipelines, and mentoring junior engineers while delivering trusted data products that ...

Under Armour, Inc.

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

Under Armour

Sr. Data Analytics Engineer

Baltimore, MD · On-site +1

$125K - $165K/yr

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

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All JobsData Analytics JobsData Analytics Jobs in Maryland

Data Analytics information

See Maryland salary details

$23

$53

$91

How much do data analytics jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics in Maryland is $53.13, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $60.19 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

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

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Maryland?

The most popular types of Data Analytics jobs in Maryland are:

What are popular job titles related to Data Analytics jobs in Maryland?

For Data Analytics jobs in Maryland, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Maryland look for?

The top searched job categories for Data Analytics jobs in Maryland are:

What cities in Maryland are hiring for Data Analytics jobs?

Cities in Maryland with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Maryland as of August 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 $110,519 per year, or $53.1 per hour.

Splunk Data Analytics Engineer

3B Staffing LLC

Gwynn Oak, MD • On-site

$119K - $143K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Splunk Data Analytics Engineer - 1 role

Location: Woodlawn, MD (Onsite)

Visa: GC, USC Only

only send candidates that are Local to the Site Location.

NO RELOCATION

Interview Proces:

  • phone screen
  • Video technical interview
  • Onsite final interview

Job Description -
Key Required Skills:

Deep understanding of Splunk architecture, proficiency in using Splunk's advanced features, such as dashboards, alerts, and reports, strong analytical skills to interpret complex data sets, identify trends, and derive actionable insights.

Position Description:

??Create consolidated data sets that conform to the Common Information Model (CIM) from various sensor data sources, ensuring they are aggregated and searchable.

Develop capabilities to aggregate sensor data based on tangible assets (hardware, software, and data) and information systems with business purposes.

Implement tagging for new data to fit into the Re-Usable Data Assets model for ingestion by IO and CDM dashboards.

Translate key-value pairs from sensor tools into the required format for data consumption.

Transform existing data into formats suitable for ingestion by ServiceNow and CDM Elastic files.

Design and implement data pipelines connecting data sources to the Re-Usable Data Asset model.

Establish connections between Splunk and the Re-Usable Data Asset model, as well as with ServiceNow and CDM Elastic.

Develop integrators between Splunk, ServiceNow, and CDM Elastic.

Build out data warehouses and data models, including tagging data, establishing data pipeline connections, and developing integrations.

Aggregate various data types and create key-value pairs, including ETL coding and dashboard development.

Configure notable event actions, action menus, and adaptive responses within Splunk.

Provide recommendations for data onboarding and normalization processes.

Maintain strong knowledge of security risk procedures, authentication technologies, and security attack patterns.

Develop, evaluate, and document specific metrics for management purposes.

Create dashboards to monitor traffic volumes, response times, errors, and warnings across data centers.

Monitor web portals, log files, and databases for performance and security.

Design and develop Splunk solutions for routine operational use.

Solve complex integration challenges and debug configuration issues.

Consult with stakeholders to establish and refresh strategic direction in cloud adoption.

Understand and comply with the CDM technical requirements for the federal government's CDM program.

Address a wide range of security issues, including architectures, firewalls, electronic data traffic, and network access.

Design, manage, and maintain enterprise SIEM infrastructure to improve data ingestion processes, ensuring optimal data flow through architectural work on data pipelines.

(Basic Qualifications)
Bachelor's degree and 8 years of experience, master's and 5 year of experience or 11+ years in lieu of a degree.
Extensive experience with Splunk, data analytics, and big data technologies.
Strong technical and computational skills in engineering, physics, or mathematics.
Proficiency in coding and developing applications for unstructured and semi-structured data analysis.
Experience with cybersecurity application development and SIEM technologies.
Familiarity with cloud-based high-performance infrastructures and data processing techniques.

Must be able to obtain and maintain a Public Trust. Contract requirement.

(Required Skills)

Proficiency in coding and developing applications for unstructured and semi-structured data analysis.
Experience with cybersecurity application development and SIEM technologies.
Familiarity with cloud-based high-performance infrastructures and data processing techniques.

Education:

Bachelor's degree and 8 years of experience, master's and 5 year of experience or 11+ years in lieu of a degree.
Must be able to obtain and maintain a Public Trust.

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