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Analytics Engineer Jobs in Maryland (NOW HIRING)

Sr. Data Analytics Engineer

Baltimore, MD · On-site

$113K - $136K/yr

Under Armour is committed to empowering individuals who strive for more, and they are seeking a highly motivated Sr. Data Analytics Engineer to join their Enterprise Data Management & Analytics team.

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 ...

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 ...

GCP Cloud Analytics Engineer

Baltimore, MD · On-site

$55.50 - $74/hr

GCP Cloud Analytics Data-driven organizations need modern cloud analytics solutions that turn information into insight and action. As a Sr Consultant, GCP Cloud Analytics, you will help clients ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

The Analytics Developer is responsible for coding and designing analytical solutions that turn data into knowledge. This position will work closely with business and system/technology subject matter ...

Showing results 21-40

Analytics Engineer information

See Maryland salary details

$62.3K

$108.8K

$177.4K

How much do analytics engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for analytics engineer in Maryland is $108,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,234.00 and $122,101.00 per year, depending on experience, location, and employer.

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Maryland? The most popular types of Analytics Engineer jobs in Maryland are:
What are popular job titles related to Analytics Engineer jobs in Maryland? For Analytics Engineer jobs in Maryland, the most frequently searched job titles are:
What cities in Maryland are hiring for Analytics Engineer jobs? Cities in Maryland with the most Analytics Engineer job openings:
Infographic showing various Analytics Engineer job openings in Maryland as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $108,780 per year, or $52.3 per hour.

Senior Analytics Engineer - Business Intelligence

GTT, LLC

Chevy Chase, MD

$95 - $120/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 3 days ago


Job description

Senior Analytics Engineer - Business Intelligence

Location: Chevy Chase, MD

Onsite Flexibility: Hybrid

Contract Details
  • Position Type: Right to Hire
  • Contract Duration: 6 months
  • Start: July 13, 2026
  • Pay Rate: $95.00 $120.00 / Hour (USD)
  • Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
Job Summary

The client's Marketing department is seeking an experienced Business Intelligence professional to join the Marketing Analytics organization as a Senior Analytics Engineer (Business Intelligence). This role builds complex dashboards and automated reporting solutions, translates stakeholder questions into technical specifications, and ensures reporting outputs are accurate, well-designed, and aligned to definitional standards. At the Senior level, this role is expected to operate with general alignment, independently drive BI deliverables end-to-end, and serve as a go-to partner for stakeholders who need reliable reporting, strong visualization, and clear interpretation of results.

Key Responsibilities
  • Design and build complex dashboards with interactive features and strong visualization best practices (chart selection, usability, and stakeholder clarity).
  • Develop and maintain complex SQL queries and Python-based automation to support reliable data extraction, transformation, QA checks, and scheduled reporting delivery; maintain shared codebases in version control (e.g., Git, Azure DevOps), following team standards for commits, reviews, and documentation.
  • Implement automated reporting pipelines and repeatable delivery patterns that reduce manual effort and improve reliability.
  • Independently source and integrate datasets; document data lineage and identify gaps, inconsistencies, or definitional misalignment.
  • Clarify vague requirements by asking the right questions, proposing visualization approaches, and aligning scope and success criteria with stakeholders.
  • Partner with Marketing and enterprise stakeholders to support MarTech data acquisition strategies (e.g., tagging/collection requirements, platform integrations) and improve availability and usability of marketing platform datasets for reporting and analytics.
  • Perform strong self-QA and milestone reviews to ensure accuracy in filters, calculations, and alignment to definitional standards.
  • Present BI outputs and insights to stakeholders with clear narrative framing, explaining assumptions, limitations, and tradeoffs.
  • Mentor entry-level BI engineers on tools, best practices, documentation, and stakeholder communication.
  • Manage projects concurrently, accurately scoping timelines and proactively flagging risks.
  • Growth mindset: receptive to feedback, proactive about learning, and continuously improves BI craftsmanship (accuracy, usability, documentation) through iteration.
Required Skills
  • Expert SQL; advanced experience with BI tools (Tableau/Power BI/Looker).
  • Strong knowledge of reporting standards, metric definitions, and dashboard usability principles.
  • Strong communication skills with experience translating stakeholder needs into technical specifications.
Preferred Skills
  • Experience with semantic layer concepts (e.g., LookML / MetricFlow) and workflow orchestration basics.
  • Relevant certifications (examples): Tableau Desktop Certified Professional; Microsoft Certified: Power BI Data Analyst Associate; dbt Analytics Engineering Certification; Snowflake SnowPro Advanced.
  • Experience using AI tools to improve workflow productivity (e.g., accelerating research, summarization, analysis, documentation, and automation).
  • Experience with marketing analytics and MarTech data sources, including tagging and web analytics (e.g., Google Analytics) and marketing platform data (e.g., ad buying platforms such as Campaign Manager 360 (CM360) / Search Ads 360 (SA360) and CRM tools such as Salesforce).
  • Experience in Property & Casualty (P&C) insurance is preferred.
Education Requirements
  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business Intelligence, or related field (required).
  • Master's degree in Data Analytics, Business Intelligence, Computer Science, or related field (preferred).
Required Experience
  • 5 years of experience in BI / analytics engineering or a closely related domain (may be adjusted, in whole or in part, at the Company's discretion, where a candidate demonstrates exceptional aptitude in other core skill areas).
Nice-to-Have Experience
  • 7 years of experience in BI / analytics engineering or a closely related domain.
Benefits
  • Medical, Vision, and Dental Insurance Plans
  • 401k Retirement Fund
About the Client

National provider of affordable auto, home, and renters insurance in all 50 states.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

Job Number: 26-06588 Industry: Data & Analytics

#gttjobs #LI-GTT #LI-Hybrid

Company Description

Global Technical Talent is a subsidiary of Chenega Corporation (www.Chenega.com) with over 1.3 billion US$ in revenue and 5800 US employees. We provide Total Talent Solutions, Global staffing, SOW, RPO, Direct Sourcing, and Global Payroll with physical offices in US, Canada, and India. GTT Digital headquartered in Toronto specializes in providing high-tech digital and banking talent to some of the nation’s largest financial institutions. As a leader in the staffing industry for over 22 years, we have become one of the largest staffing firms in the New England region, working with Fortune 500 clients and cutting-edge, technology-driven recruiting infrastructure.

We are a Native American-owned, economically disadvantaged corporation that highly values diverse and inclusive workplaces. Our clients and partners are among the most successful and innovative organizations in the world. Our top clients are Fortune 500 banking, insurance, and financial services firms, some of the nation’s largest life sciences, biotech, utility, and retail companies, and prestigious educational institutions in the Ivy League tier.
There is always a new opportunity for success when you look through all of the open job opportunities on our website’s career page. Just click on this link: https://bit.ly/gttcareers
Awards

SIA’s Fastest Growing Staffing Firm: 2023 and 2015
SIA’s Best Staffing Firm to Work for: 2019 -2023
Inc 5000 Fastest Growing Private Company: 2023, 2022, 2016, 2015
Randstad Preferred Supplier: 2020 - 2023
TechServe Alliance Excellence Award. 2019
NH Business Magazines Fast 5 fastest growing companies
Ernst & Young Entrepreneur of the Year Finalist: 2015


GTT logo

About GTT

Sourced by ZipRecruiter

GTT, based in Tysons, Virginia, US, is a leading global provider in the telecommunications industry. Operating largely within the realm of cloud networking to multinational clients, GTT is dedicated to delivering scalable, secured, and reliable cloud networking services. Found in 2005, the tech giant operates with a staunch commitment to simplifying the complex elements within the cloud networking infrastructure. Embodying a mission to connect people across organizations and around the world, they strive to provide the broadest range of cloud networking services, rendered via future-proof technology.

Industry

Internet and it

Company size

1,001 - 5,000 Employees

Headquarters location

Tysons, VA, US

Year founded

1998

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