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Analytics Engineer Dbt Jobs (NOW HIRING)

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities ... Manage a modern analytics infrastructure by implementing and using tools like dbt, Snowflake, and ...

Senior Analytics Engineer

Harrisburg, PA · On-site +1

$103K - $141K/yr

You'll lead the design of a unified, cloud-based data environment centered on dbt and modern analytics engineering practices, enabling reliable transformation logic and data modeling that supports ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Experience using dbt and Snowflake is desirable * Demonstrated knowledge of how agents interact ...

This role is ideal for someone who is strong in dbt and analytics engineering and who enjoys working at the intersection of healthcare economics, PBM operations and data modeling. The ideal candidate ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an ... Proficiency in SQL and dbt for data transformation, automation, and modeling. * Experience building ...

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

Analytics Engineer

$160K - $190K/yr

We're looking for an Analytics Engineer to own the data models, metrics, and dashboards the company ... Build and maintain dbt models that define how we measure the business. * Design and maintain ...

Analytics Engineer I

New York, NY · Hybrid

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance ... You'll work within Oscar's unified data foundation in dbt, partnering with domain experts and ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an ... Proficiency in SQL and dbt for data transformation, automation, and modeling. * Experience building ...

The ideal candidate has strong expertise in SQL, Snowflake, dbt, and Tableau, along with a solid understanding of data modeling, data quality, and modern analytics engineering practices. Key ...

Analytics Engineer

Waltham, MA · On-site

$118K - $177K/yr

Snowflake, dbt, DataBricks, Fivetran, AWS, git, census, Dagster/Airflow, etc * 3-5+ years of SQL ... as an analytics engineer, with an educational background in computer science, mathematics ...

Senior Analytics Engineer

Birmingham, AL · On-site

$97K - $134K/yr

You will own Landing's dbt models, data pipelines, and warehouse architecture -- the connective ... Analytics engineering standards, tooling decisions, and the long-term roadmap of our data platform.

Analytics Engineer I

New York, NY · On-site

$106K - $140K/yr

We're hiring an Analytics Engineer I to join our Data Team. Oscar is the first health insurance ... You'll work within Oscar's unified data foundation in dbt, partnering with domain experts and ...

Senior Analytics Engineer, GTM

Santa Clara, CA · On-site

$122K - $168K/yr

We are midway through a strategic migration to dbt as our transformation standard. Beyond that, our ... As a Senior Analytics Engineer, you will help drive that journey end-to-end. This role is grounded ...

Description We are looking for an Analytics Engineer to join our mission-driven team. As an ... Proficiency in SQL and dbt for data transformation, automation, and modeling. * Experience building ...

You'll own the dbt layer that transforms raw search logs, API events, and revenue data into clean ... analytics engineering, data engineering, or senior-level data analysis at a fast-growing company

Senior Analytics Engineer

Nashville, TN · On-site

$130K - $175K/yr

Who you are Metropolis is seeking a Senior Analytics Engineer to join our Data Engineering and ... Build and maintain data transformation pipelines using SQL frameworks like dbt to abstract model ...

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Analytics Engineer Dbt information

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$31K

$95.8K

$127.5K

How much do analytics engineer dbt jobs pay per year?

As of Jun 15, 2026, the average yearly pay for analytics engineer dbt in the United States is $95,796.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,000.00 and $116,000.00 per year, depending on experience, location, and employer.

What is an Analytics Engineer Dbt job?

An Analytics Engineer specializing in dbt (data build tool) is responsible for transforming raw data into clean, well-structured datasets that enable data-driven decision-making. They bridge the gap between data engineers and analysts by writing modular, reusable SQL code in dbt to build and maintain data models. Their role involves managing data transformations, ensuring data quality, and optimizing performance within a modern data stack.

What types of projects and responsibilities can I expect as an Analytics Engineer Dbt?

As an Analytics Engineer Dbt, you'll focus on designing and building robust data transformation pipelines using dbt, ensuring that raw data is modeled into well-structured, analysis-ready datasets for downstream users. Your daily responsibilities typically include collaborating with data analysts, data engineers, and business stakeholders to define data requirements, building documentation, performing code reviews, and maintaining high standards of data quality. You may also participate in optimizing query performance, automating data validation processes, and contributing to data governance initiatives. This role offers the opportunity to work at the intersection of analytics and engineering, providing both technical challenges and strategic business impact.

What are the key skills and qualifications needed to thrive in the Analytics Engineer Dbt position, and why are they important?

To thrive as an Analytics Engineer Dbt, you need expertise in SQL, data modeling, and modern data warehousing concepts, often supported by a degree in computer science, data analytics, or a related field. Proficiency with dbt (data build tool), version control systems like Git, and familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift is essential, with dbt certification considered a plus. Strong problem-solving abilities, communication skills, and a collaborative mindset help in effectively translating business needs into scalable data solutions. These skills are crucial for building reliable analytics workflows, ensuring data quality, and bridging the gap between data engineering and analytics teams.

More about Analytics Engineer Dbt jobs
What cities are hiring for Analytics Engineer Dbt jobs? Cities with the most Analytics Engineer Dbt job openings:
What are the most commonly searched types of Analytics Engineer Dbt jobs? The most popular types of Analytics Engineer Dbt jobs are:
What states have the most Analytics Engineer Dbt jobs? States with the most job openings for Analytics Engineer Dbt jobs include:
Infographic showing various Analytics Engineer Dbt job openings in the United States as of June 2026, with employment types broken down into 40% Full Time, 40% Part Time, and 20% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $95,796 per year, or $46.1 per hour.
Data Analytics Engineer

Data Analytics Engineer

KORE1 Technologies

Glen Allen, VA • On-site

$180K - $200K/yr

Full-time

Posted 20 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.