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Data Analytics Engineer Jobs in Maryland (NOW HIRING)

Big Data & Analytics Architect

Bethesda, MD ยท On-site

$68.25 - $87.75/hr

... Data & Analytics solutions Ability to work with a multi-technology/cross-functional teams and ... engineering skills and communication skills Additional Information All your information will be ...

Senior QuickSight Analytics Engineer

Baltimore, MD ยท On-site

$103K - $142K/yr

Data Engineer III supports the design, development, and deployment of scalable data solutions that ... Analyze the client's existing data environment, reporting processes, and Python code to understand ...

Data Engineer III supports the design, development, and deployment of scalable data solutions that ... Analyze the client's existing data environment, reporting processes, and Python code to understand ...

Data Architect & Analytics

Bethesda, MD

$68.25 - $87.75/hr

... Data & Analytics solutions Ability to work with a multi-technology/cross-functional teams and ... engineering skills and communication skills Additional Information All your information will be ...

Sr. Data Engineer

Baltimore, MD ยท On-site +1

$129K - $178K/yr

Index Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in ...

Sr. Data Engineer

Baltimore, MD

$116K - $139K/yr

Index Analytics is seeking a Data Engineer to support Government clients to design, build, and optimize scalable data pipelines and cloud-based solutions. The Data Engineer plays a key role in ...

Work closely with a team of data scientists, software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data ...

Showing results 41-60

Data Analytics Engineer information

See Maryland salary details

$43.2K

$125.9K

$172.3K

How much do data analytics engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data analytics engineer in Maryland is $125,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,100.00 and $133,400.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

What cities in Maryland are hiring for Data Analytics Engineer jobs?

Cities in Maryland with the most Data Analytics Engineer job openings:

Infographic showing various Data Analytics Engineer job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $125,895 per year, or $60.5 per hour.

Big Data & Analytics Architect

krg technology inc

Bethesda, MD โ€ข On-site

$68.25 - $87.75/hr

Full-time

Re-posted 23 days ago


Job description

Company Description

Vignesh

KRG Technologies Inc.

25000 | Avenue Stanford | Suite 120 | Valencia, CA 91355

Direct Phone: (661) 367 8000 Ext.405 | Email: vignesh.c @ krgtech.com

Job Description

15 - 18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
Extensive experience working with large data sets with hands-on technology skills to design and build robust 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
Extensive experience in data modeling and database design involving any combination of -
Data warehousing and Business Intelligence systems and tools
Relational and MPP database platforms like Netezza, Teradata
Open source Hadoop stack
Hands-on administration, configuration management, monitoring, performance tuning of Hadoop/Distributed platforms
Strong understanding of Data & Analytics Analytics platforms and ETL in the context of Data & Analytics
Ability to frame architectural decisions, provide technology leadership & direction
Excellent problem solving, hands-on engineering skills and communication skills

Additional Information

All your information will be kept confidential according to EEO guidelines.


KRG Technologies logo

About KRG Technologies

Sourced by ZipRecruiter

KRG Technologies was founded with a simple motive of offering the clients exactly what they want, how they want and when they want. By leveraging for its clients its technological edge and right-sourcing advantage, KRG in a short period of time has grown to become one of the most trusted strategic technology partners. Treating every client as the top priority, we customize our solutions and services to align with the unique needs of each client. Headquartered in Valencia, California, KRG employs a unique global delivery platform to minister its offerings spanning from application development and maintenance to business process reengineering. With years of hands-on domain experience and international presence, we offer state-of-the-art solutions backed by our follow-the-sun service model in the most cost effective manner. We value our clientele for the trust reposed in us and our clientele admire us for our personalized approach and deep commitment to their success. Our biggest strength lies in technical expertise of our team and individual competency of our employees, which enables us to be the most befitting solution provider.

Industry

It services

Company size

201 - 500 Employees

Headquarters location

Valencia, CA, US

Year founded

2003

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