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Analytics Engineer Jobs in Washington, DC (NOW HIRING)

Deloitte

GCP Cloud Analytics Engineer

Rosslyn, VA · On-site

$63.50 - $85/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 ...

Deloitte

GCP Cloud Analytics Engineer

Mclean, VA · On-site

$56.25 - $75.25/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 ...

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Showing results 41-60

All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Washington, DC

Analytics Engineer information

See Washington, DC salary details

$67.1K

$117.2K

$191.1K

How much do analytics engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for analytics engineer in Washington, DC is $117,175.00, according to ZipRecruiter salary data. Most workers in this role earn between $87,503.00 and $131,523.00 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 Washington, DC? The most popular types of Analytics Engineer jobs in Washington, DC are:
What are popular job titles related to Analytics Engineer jobs in Washington, DC? For Analytics Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer jobs in Washington, DC look for? The top searched job categories for Analytics Engineer jobs in Washington, DC are:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 91% Full Time, and 9% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $117,175 per year, or $56.3 per hour.

URGENT NEED - Adobe Analytics Engineer - Rockville, MD - HYBRID

Navtech, Inc.

Rockville, MD • On-site

Full-time, Contractor

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

Job description

I have an opportunity for "Adobe Analytics Engineer - Rockville, MD - HYBRID" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position: Adobe Analytics Engineer
Location: Rockville, MD - Hybrid
Duration : 6+ Months CTH - Contract to Hire
It can be remote until the client converts but hybrid once the role becomes full time employee.
Brief Job Overview:
Work with the stakeholders to identify the digital tagging gap on the application and develop a plan for implementation of the tagging. Develop the report for the end user.
Summary of Duties:
• Implementation: Design, develop, and implement Adobe Analytics solutions to manage customer data and enhance marketing strategies.
• Data Integration: Integrate Adobe Analytics with various data sources to ensure seamless data flow and consistency across platforms.
• Reporting and Analysis: Create and maintain reports and dashboards to provide actionable insights for stakeholders.
• Tag Management: Manage and debug tagging implementations using Adobe Launch or other tag management systems.
• Optimization: Analyze data to identify trends and opportunities for optimization, improving user experience and conversion rates.
• Collaboration: Work closely with teams to ensure accurate data collection and reporting.
Basic Qualifications:
• 3+ years of experience in implementing Adobe Analytics (Architect, Developer, and Business Practitioner) and Adobe Target (Architect and Business Practitioner).
• Experience in Adobe Data collection, Adobe at.js, and Web SDK.
• Implementation of tracking, tags, triggers, custom events, pixels and integrating advertising platforms with websites.
• Implementing a new adobe web SDK, migrating from the older version.
Code Specialties: JavaScript, HTML, and CSS.
• Tools Specialties: Adobe Analytics, Adobe Target, Adobe Tags (formerly Launch), Segment, and the Adobe Creative Suite.
• Experience: Google Analytics, Google Tag Manager, and Optimizely.
Regards,
Alex . K
NAVTECH INC
P : (224) 348-1340 E : Alex@navtechusa.com
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
www.Navtechusa.com E-Verified Company.
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

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