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Data Analytics Engineer Jobs in Washington, DC (NOW HIRING)

BRMi

Data Analytics Engineer - Pega CDH

Vienna, VA · On-site

$114K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Overview BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment. This role will focus on building ...

Xometry

Analytics Engineer II

North Bethesda, MD · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You will sit at the intersection of Data Engineering and Data Analytics, turning raw data into clean, well-modeled datasets that empower our entire organization to make better decisions. As a senior ...

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Showing results 21-40

All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Washington, DC

Data Analytics Engineer information

See Washington, DC salary details

$50.2K

$146.4K

$200.3K

How much do data analytics engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data analytics engineer in Washington, DC is $146,365.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,200.00 and $155,100.00 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 Washington, DC?

The most popular types of Data Analytics Engineer jobs in Washington, DC are:

What are popular job titles related to Data Analytics Engineer jobs in Washington, DC?

For Data Analytics Engineer jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Analytics Engineer jobs in Washington, DC look for?

The top searched job categories for Data Analytics Engineer jobs in Washington, DC are:

Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $146,365 per year, or $70.4 per hour.

Data Analytics Engineer - Pega CDH

BRMi

Vienna, VA • On-site

$114K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

Overview

BRMi is seeking an experienced Data Analytics Engineer to support analytics and modeling initiatives within a Pega Customer Decision Hub (CDH) environment.

This role will focus on building reusable data queries, scripts, and Databricks notebooks that allow teams to analyze customer interactions, model performance, engagement, and business outcomes.

Benefits: Comprehensive Medical, Dental, and Vision Insurance Employer-Paid Life Insurance Employer-Paid Short-Term and Long-Term Disability Insurance 401(k)  Paid Time Off (PTO) that includes Vacation Leave, Sick Leave, and 11 Paid Holidays Educational Assistance

Salary: 95k-112k

**Hybrid in Vienna, VA**

**An In Person interview will be required for this role**

Click here to learn about BRMi's culture.

Click here to see BRMi's Glassdoor reviews

Responsibilities
  • Develop SQL, Python, and PySpark queries and scripts to analyze customer and interaction data.
  • Build reusable Databricks notebooks for broader analytics teams.
  • Replicate Pega CDH customer contextual data in external analytics environments.
  • Standardize data retrieval and analysis processes across the team.
  • Map customer interactions to business outcomes such as account openings and engagement.
  • Analyze model and predictor performance.
  • Connect member profile data to customer interactions for deeper analysis.
  • Perform distribution, arbitration, and channel engagement analysis.
  • Establish baseline KPIs for new modeling capabilities.
  • Develop back-testing and monitoring approaches for model changes.
  • Monitor model performance and identify potential performance issues.
  • Analyze propensity scores and identify abnormal or low-performing results.
  • Evaluate whether actions and recommendations are achieving intended business objectives.
  • Monitor eligible audiences for different actions and treatments.
  • Develop reporting and monitoring that can be easily shared with business and analytics leadership.
  • Perform other duties as assigned
Qualifications
  • Strong Databricks experience.
  • Strong Python and PySpark skills.
  • Advanced SQL skills.
  • Experience building data queries, scripts, and reusable analytics notebooks.
  • Experience analyzing large customer or transactional datasets.
  • Experience with model performance analysis and KPI monitoring.
  • Ability to translate analytical questions into repeatable data solutions.
  • Strong analytical and problem-solving skills.

Desired:

  • Pega Customer Decision Hub (CDH) experience.
  • Experience with customer decisioning or next-best-action platforms.
  • Experience analyzing propensity models or predictive models.
  • Experience with customer interaction and engagement analytics.
  • Experience supporting marketing, customer analytics, or decision science teams.

** BRMi will not sponsor applicants for work visas for this position.**

**This is a W2 opportunity only**

EOE/Minorities/Females/Vet/Disabled 

We are an equal opportunity employer that values diversity and commitment at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. Employment policies and decisions on employment and promotion are based on merit, qualifications, performance, and business needs. The decisions and criteria governing the employment relationship with all employees are made in a nondiscriminatory manner, without regard to race, religion, color, national origin, sex, age, marital status, physical or mental disability, medical condition, veteran status, or any other factor determined to be unlawful by federal, state, or local statutes. 

Employment Type: OTHER
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About BRMi

Sourced by ZipRecruiter

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Silver Spring, MD, US

Year founded

2004

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