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Senior Analytics Engineer Dbt Jobs in Virginia (NOW HIRING)

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

... models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous ... This is a senior individual contributor role. You'll lead through technical ownership, influence ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

... models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous ... This is a senior individual contributor role. You'll lead through technical ownership, influence ...

Senior Data Analytics Engineer Category: Business Analysis (functional and technical) Main location: United States, Virginia, Reston Position ID:J0726-0947 Employment Type: Full Time U.S. - Finding ...

Data and Analytics Engineer

Blacksburg, VA · On-site +1

$100K - $120K/yr

Administrative & Professional Senior management: Vice President-Info Technology Department ... Experience with analytics engineering and modern data stack technologies such as dbt or similar ...

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Senior Analytics Engineer Dbt information

How does a senior analytics engineer dbt typically collaborate with data analysts and data engineers within a team?

As a Senior Analytics Engineer specializing in dbt, you act as a bridge between raw data pipelines maintained by data engineers and the business insights required by data analysts. You’ll work closely with data engineers to ensure data is modeled and transformed efficiently, maintaining data quality and consistency. At the same time, you partner with analysts to understand their needs, creating reusable dbt models and documentation to make data more accessible and actionable. Regular communication and cross-functional meetings are common to align on priorities, troubleshoot data issues, and continuously improve data workflows.

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

AspectSenior Analytics Engineer DbtData Engineer
Primary FocusData modeling, transformation, and analytics using dbtBuilding data pipelines, infrastructure, and data storage solutions
Skills & CertificationsSQL, dbt, data modeling, analytics toolsSQL, Python, ETL tools, cloud platforms
Work EnvironmentAnalytics teams, BI, data scienceData engineering teams, infrastructure, backend systems
Industry UsageFinance, marketing, e-commerce, techAll industries with large data needs

While both roles work with data, a Senior Analytics Engineer Dbt primarily focuses on transforming data for analysis and reporting using dbt, whereas a Data Engineer builds the pipelines and infrastructure to collect and store data. The roles often collaborate but serve different parts of the data ecosystem.

What is a senior analytics engineer dbt?

A Senior Analytics Engineer Dbt is a data professional who specializes in building and maintaining robust data transformation workflows using dbt (data build tool). They bridge the gap between data engineering and analytics by developing, testing, and documenting data models that make raw data usable for business insights. Senior Analytics Engineers often mentor junior team members, enforce best practices in data modeling, and ensure data quality and consistency across the organization. They work closely with data analysts, data scientists, and business stakeholders to deliver reliable analytics solutions.

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

To thrive as a Senior Analytics Engineer (dbt), you need advanced SQL skills, data modeling expertise, and experience with cloud data warehouses, usually supported by a degree in computer science or a related field. Proficiency with dbt (data build tool), version control systems like Git, and analytics platforms such as Snowflake or BigQuery is essential. Strong problem-solving abilities, effective communication, and project management skills help you translate complex business requirements into scalable data solutions. These competencies ensure robust, reliable data pipelines and actionable insights that drive business decision-making.
What are the most commonly searched types of Analytics Engineer Dbt jobs in Virginia? The most popular types of Analytics Engineer Dbt jobs in Virginia are:
What are popular job titles related to Senior Analytics Engineer Dbt jobs in Virginia? For Senior Analytics Engineer Dbt jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer Dbt jobs in Virginia look for? The top searched job categories for Senior Analytics Engineer Dbt jobs in Virginia are:
What cities in Virginia are hiring for Senior Analytics Engineer Dbt jobs? Cities in Virginia with the most Senior Analytics Engineer Dbt job openings:
Infographic showing various Senior Analytics Engineer Dbt job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

Data Analytics Engineer

KORE1 Technologies

Glen Allen, VA • On-site

$180K - $200K/yr

Full-time

Re-posted 12 days ago


Job description

KORE1, a nationwide provider of staffing and recruiting solutions, has an immediate opening for Data Analytics Engineer
The Opportunity
is hiring a Data Analytics Engineer to help build the data foundation that powers trustworthy reporting, self-serve insights, and decision-making across the company. This is a unique opportunity to join at the ground floor and own the core analytics engineering layer end-to-end, from defining foundational metrics and data models to implementing best practices that scale.
In this role, you'll be both a hands-on builder and a technical partner to the business, designing data architecture, developing foundational models in dbt, and partnering with Product, Engineering, and GTM leaders to turn ambiguous questions into reliable, reusable data products.
This is a senior individual contributor role. You'll lead through technical ownership, influence, and execution, while helping set standards and patterns that future hires will build on.
What You'll Do
Help Build the Data Foundation
* Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them
* Design and build a single source of truth by developing foundational data models (dimensional modeling, star schemas, modular marts) that standardize business definitions and metrics
* Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and Git, including CI/CD patterns
* Implement scalable standards for modeling, naming, testing, documentation, and dataset ownership to ensure maintainability as the organization grows
* Improve trust in data by implementing data quality checks, monitoring and observability practices, and clear guidance on what is trusted
* Partner cross-functionally with engineering, product, finance, and other business leaders to understand data needs and deliver solutions that drive decisions and outcomes
Enable Self-Serve and Decision-Making
* Build curated datasets and semantic-friendly layers that keep BI and reporting consistent and reliable
* Create dashboards and analytics tools that empower stakeholders to self-serve confidently, with clear definitions and documentation
* Translate ambiguous business questions into structured, scalable data solutions, and not one-off queries
* Translate complex analytical findings into clear, actionable recommendations that influence product strategy
Lead Through Technical Ownership
* Act as the analytics engineering voice in technical decisions, ensuring solutions are practical, robust, secure, and useful
* Drive cross-functional projects from discovery through delivery, influencing outcomes without formal authority
* Contribute to data literacy and adoption through metrics definitions, training, and strong documentation
* Collaborate with product managers during discovery to identify the right problems to solve using data
What We're Looking For
Analytics Engineering and Modeling Expertise
* 5 to 8+ years in analytics engineering, data engineering, BI, or closely related roles, with senior-level scope
* Advanced proficiency in SQL and cloud data warehouses (Snowflake preferred)
* Strong hands-on experience with dbt (or similar transformation frameworks), including modular project organization, plus testing and documentation practices
* Proven ability to design scalable, reusable data models (dimensional modeling, star schemas, canonical metrics, shared dimensions)
* Experience with BI tools (Looker, Tableau, Mode, or similar) and building datasets that support reliable reporting
* Working knowledge of Python for scripting, automation, and data transformation
Engineering Rigor and End-to-End Ownership
* Comfort owning pipelines and data flows end-to-end (sources to warehouse to transformations to BI and downstream consumption)
* Familiarity with Git and GitHub, code review workflows, and CI/CD practices for analytics code
* Experience implementing data quality and reliability patterns (dbt tests, Great Expectations, Monte Carlo, alerting, SLAs, or similar)
* Strong understanding of modern data architecture patterns and tradeoffs, with the ability to build what's needed now while planning for scale
Business Partnership and Senior IC Skills
* Strong track record partnering with non-technical stakeholders, turning vague questions into clear requirements, then turning requirements into reliable data products
* Excellent communication skills, including explaining data concepts to business audiences and aligning on definitions and outcomes
* Strong prioritization instincts, focusing on work that unlocks the most value and reduces recurring pain
* Comfortable operating in ambiguity, moving fast while maintaining trust and quality
Bonus Points
* Experience with semantic modeling layers like LookML
* Familiarity with workflow orchestration tools (Hevo, Airflow, Dagster)
* Background in high-growth startup or tech environments
* Knowledge of data cataloging and metadata management tools (Atlan, etc.)
* Understanding of AI/ML applications and prompt engineering for LLMs
* Experience with statistical analysis and experimental design
Why This Role Is Special
This is a rare opportunity to help define the analytics function at a growing company. You'll have the freedom to establish best practices, choose our tooling, and have an immediate impact on business decisions. If you're someone who gets excited about both the big picture strategy and rolling up your sleeves to build, this role offers the best of both worlds. You'll work closely with leadership to shape how uses data to drive growth.
About
Our Mission: 'Help ALL frontline workers feel more valued and connected so they can reach their full potential. And live a more fulfilling life.'
We're building world-class applications that solve real problems for real people. We obsess over customer needs, move fast, and celebrate wins together. If you thrive in environments where you can touch every part of the stack and see your work make an immediate difference, you'll love it here.
Job Requirements
Compensation depends on experience but is typically 180k-200k
ABOUT KORE1
Specializing in professional and technical recruiting, KORE1 is committed to supporting top IT, Engineering, Creative, Scientific, Accounting and Finance professionals in their career paths. We build deep relationships with leading companies, connecting them to exceptional talent every day. With extensive industry expertise and unmatched opportunities, our goal is to provide a unique experience for our contractors and consultants as they prepare for their next role. We are passionate about matching the right people with the right companies.
Kore1 provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Kore1 complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Kore1 expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Improper interference with the ability of Kore1's employees to perform their job duties may result in discipline up to and including discharge.