dbt Engineer

Openkyber; Alaska; On-site; USD 90,000 - 125,000; Full time

Job summary

Fanatics Collectibles is seeking an Analytics Engineer to join the Sales & Finance Engineering team. You’ll translate business questions into data products, own pipelines, transformations, and dashboards that empower Commercial, Sales, Strategy, and Finance.

You’ll collaborate with product managers and analysts to deliver reliable data solutions, moving between engineering, data, and product thinking while pushing back when requirements don’t make sense yet.

Qualifications

• 3–5 years of analytics engineering, data engineering, or software engineering experience.
• Hands-on experience with Snowflake, SQL, and Python.
• Strong dbt knowledge for transformation, testing, and documentation.
• Experience building and managing pipeline orchestration with Airflow or Dagster.
• Experience building dashboards and data visualizations, ideally with Sigma.
• Exposure to engineering work beyond data, APIs, or backend services.
• Proven ability to work with business stakeholders to shape what gets built and why.

Responsibilities

• Build and maintain data pipelines from source systems into Snowflake with reliability and observability.
• Implement and manage orchestration flows using Airflow or Dagster.
• Build transformation layers using dbt with data modeling, testing, and documentation.
• Design and maintain Sigma dashboards as primary reporting surface for stakeholders.
• Ensure data quality and consistency across reporting surfaces with validation and source-of-truth definitions.
• Partner with Commercial, Sales, Strategy, and Finance stakeholders to understand needs and surface gaps.
• Translate business requirements into clear data specs and prioritized work.
• Communicate tradeoffs and expectations clearly to partners while making complex data concepts accessible.
• Contribute to broader data-oriented engineering work on the Sales & Finance team when needed.

Skills

Snowflake

SQL

Python

dbt

Airflow

Dagster

Sigma

Dashboarding

Stakeholder communication

Job description

About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet.

Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform.

Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores.

Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

About the Team:

We’re looking for an Analytics Engineer to join the Sales & Finance Engineering team at Fanatics Collectibles. This team is the technical backbone for our Commercial, Sales, Strategy, and Finance organizations, and this role sits at the intersection of those business relationships and the data infrastructure that serves them via our internal applications.

You’ll spend roughly equal time understanding what our stakeholders need and building the systems that deliver it. That means partnering directly with product managers, finance analysts, and sales ops leaders to translate fuzzy business questions into well-defined data products and then owning the pipeline, transformation, and visualization work that makes those products real.

This isn’t a pure platform engineering role or a pure analytics role. We’re looking for someone who is comfortable moving between engineering, data and product thinking, curious enough to learn what they don’t know, and confident enough to push back when requirements don’t make sense yet.

What You’ll Do:

• Build and maintain data pipelines that bring data from source systems into Snowflake, with a focus on reliability, observability, and maintainability
• Implement and manage orchestration flows using Airflow or Dagster
• Build transformation layers using dbt, including data modeling, testing, and documentation standards
• Design and maintain Sigma dashboards that serve as the primary reporting surface for our business stakeholders
• Ensure data quality and consistency across reporting surfaces, establishing validation practices and source-of-truth definitions
• Partner with Commercial, Sales, Strategy, and Finance stakeholders, product manager and engineering leads to understand data and reporting needs, surface gaps, and build the tools necessary to support
• Translate business requirements into clear data specs and prioritized work, often without a fully formed brief to start from
• Communicate proactively with partners explaining tradeoffs, setting expectations, and making complex data concepts accessible
• Tag into broader engineering work on the Sales & Finance team as needed this could mean contributing to data-oriented product features, reviewing code, or supporting integrations that touch our data layer

What You’ll Bring:

• 3-5 years of experience in a analytics engineering, data engineering or software engineering, or a hybrid (preferred)
• Hands-on experience with Snowflake. SQL and Python
• Strong working knowledge of dbt for transformation, testing, and documentation
• Experience building and managing pipeline orchestration with Airflow or Dagster
• Experience building dashboards and data visualizations, ideally with Sigma or a comparable BI tool
• Exposure to engineering work beyond data, APIs, backend services, or product feature development
• Demonstrated ability to work directly with business stakeholders, not just receiving tickets, but helping shape what gets built and why
• Strong written and verbal communication skills; comfortable in rooms with both engineers and executives
• A genuine curiosity and willingness to stretch, this role will evolve and we want someone who evolves with it

Nice to Have:

• Familiarity with AWS data services (Glue, S3, Firehose, Kinesis)
• Experience in a commerce, collectibles, or marketplace environment
• Experience in an environment where you had to define your own scope and priorities

Why This Role You’ll have real relationships with the business leaders whose decisions depend on the work you do, and you’ll have the latitude to shape how data is used across Sales and Finance at Fanatics Collectibles.

The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to Los Angeles and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit

Los Angeles Salary Range $90,400-$113,000 USD

The salary range represents base pay only and does not include short-term or long-term incentive compensation. This salary range is specific to New York City and may not be applicable to other locations. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. For information about our benefits, please visit

NYC Salary Range $100,000-$125,000 USD