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Senior Analytics Engineer Jobs in Maryland (NOW HIRING)

Senior QuickSight Analytics Engineer

Baltimore, MD · On-site

$103K - $142K/yr

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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

$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 ...

Senior QuickSight Analytics Engineer

Baltimore, MD · On-site

$103K - $142K/yr

... Our Data Engineering team helps build and modernize data platforms that support analytics ... Professional development From entry-level employees to senior leaders, we believe there's always ...

Senior QuickSight Analytics Engineer

Baltimore, MD · On-site

$103K - $142K/yr

Ability to provide clear guidance to others The team Our Data Engineering team helps build and modernize data platforms that support analytics, reporting, and business decision-making across complex ...

$200 - $250/hr

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED As a Software Engineer on Team Nyla, you will bring your technical creativity and collaborative energy to design, build, maintain ...

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Showing results 1-20

Senior Analytics Engineer information

See Maryland salary details

$57.7K

$122.8K

$178.1K

How much do senior analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior analytics engineer in Maryland is $122,829.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,400.00 and $139,300.00 per year, depending on experience, location, and employer.

What is a senior analytics engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

How does a senior analytics engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.

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

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

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

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

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

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

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

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

Infographic showing various Senior Analytics Engineer job openings in Maryland as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $122,829 per year, or $59.1 per hour.

Senior Analytics Engineer - Business Intelligence

GTT, LLC

Chevy Chase, MD

$95 - $120/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 5 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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