Sr. Data Engineer

FashionUnited; El Segundo, Northern (CA, KY); Hybrid; USD 140,000 - 150,000; Full time

Benefits offered by this job

Hybrid Work Schedule

Discretionary Paid Time Off

Healthcare Plans

401(k)

Annual Bonus Program

Employee Discounts

Job summary

Fabletics is looking for a Senior Data Engineer who will design and optimize scalable data pipelines. This role requires working closely with various teams to create technical solutions to improve data accessibility and performance.

The ideal candidate will have over 6 years of experience in data engineering and proficiency in SQL, Python, and cloud technologies. Benefits include a hybrid work schedule and a competitive salary range of $140,000 to $150,000.

Qualifications

• 6+ years of relevant development experience in data platform or data engineering.
• Extensive experience in scalable pipeline development, data integration, and data modeling.
• Proficient in data governance, data quality, and compliance best practices.

Responsibilities

• Design and build scalable data pipelines and models to support data needs.
• Integrate and transform data from multiple sources.
• Orchestrate and automate workflows using Airflow and CI/CD.

Skills

SQL

Python

PySpark

Databricks

Airflow

Terraform

Snowflake

Job description

Job Description

Fabletics is currently looking for a Senior Data Engineer.

How you fit in?

As a Senior Data Engineer at Fabletics, you will design and optimize scalable data pipelines and models that power the business insights driving our growth. You'll leverage cloud technologies, automation, and modern data engineering practices to transform complex datasets into reliable, high‑quality assets. Working closely with teams across Product, Marketing, Finance, and Data Science, you'll translate business needs into robust technical solutions that improve data accessibility, performance, and governance—all in service of making Fabletics a more data‑informed, faster‑moving company.

About the Team

We're a lean, high‑impact Data Engineering team building the data foundations that power measurement, personalization, and product innovation at Fabletics. Operating at the intersection of engineering, analytics, and business strategy, we deliver scalable pipelines and accurate performance insights that drive decisions across the company—from merchandising and member experience to marketing efficiency and supply chain. We move quickly, own problems end‑to‑end, and build systems that directly influence how Fabletics grows. If you want to build reliable, scalable data systems with real, visible impact, this is the team for you.

Responsibilities

• Design and build scalable data pipelines and models using Databricks, PySpark, and SQL to support Fabletics' commerce, membership, and marketing data needs.
• Integrate and transform data from multiple sources—including e‑commerce platforms, CRM, logistics, and third‑party tools—with strong quality, observability, and governance standards.
• Orchestrate and automate workflows using Airflow and CI/CD pipelines in GitHub Actions.
• Develop and maintain infrastructure using Terraform and support DevOps tasks including deployments, monitoring, and environment management.
• Optimize pipelines for reliability, performance, and cost efficiency across cloud environments.
• Collaborate closely with Product, Data Science, Marketing Analytics, and Engineering teams to deliver scalable, efficient data solutions that support Fabletics' pace of business.

Qualifications

• 6+ years of relevant development experience—in data platform or data engineering—in fast‑paced environments.
• Extensive experience in data engineering, including scalable pipeline development, data integration, and data modeling.
• Strong proficiency in SQL, Python, PySpark, Databricks, Snowflake and workflow orchestration with Airflow.
• Hands‑on experience with CI/CD using GitHub Actions and infrastructure automation with Terraform.
• Strong grounding in data governance, data quality, and compliance best practices.
• Ability to design resilient data architectures across warehouses, lakes, and streaming systems.
• Proven skill in translating complex business requirements into effective, maintainable data solutions.
• Familiarity with machine learning concepts and how they integrate with data engineering workflows.
• A genuine interest in integrating AI and LLMs into daily engineering work, including agentic development patterns—building autonomous, multi‑step AI workflows that enhance data pipelines and engineering productivity—without sacrificing simplicity or code maintainability.
• Ideal candidate brings foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.
• Bonus: experience in retail, e‑commerce, or subscription/membership business models.

Location

This role will be based in our El Segundo Headquarters.

Compensation & Total Rewards

At Fabletics, we believe work and life should fit together! We continue to build a culture of flexibility, to empower you to do your best and put yourself first. Our Total Rewards program rewards employees for their hard work, supporting their health, well‑being, families, and ultimately their life journey. Total Rewards at Fabletics includes:

• Hybrid Work Schedule*
• Discretionary Paid Time Off*
• Summer Fridays*
• Healthcare Plans
• Employee Discounts
• 401(k)
• Annual Bonus Program
• Equity Program*
• And More

*Varied for retail, fulfillment and fully remote roles.

The annual base salary range for this position is from $140,000 to $150,000. The range provided includes the base salary that Fabletics expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate’s related work experience, subject‑matter expertise and work location.

Security Alert: Protect yourself from scams

At Fabletics, we're dedicated to recruiting top talent who share our drive for innovation. To safeguard candidates, Fabletics emphasizes legitimate recruitment practices. Initial communication is primarily via official email addresses and LinkedIn; beware of deviations. Personal data and sensitive information will not be solicited during the application phase. Interviews are conducted via phone, in person, or through the approved platforms Teams or Zoom—never via messaging apps or other calling services. Offers are merit‑based, communicated verbally, and followed up in writing. If personal information is requested to initiate the hiring process, rest assured it will be through secure and protected means.

Equal Opportunity Employer

Fabletics, Inc. is an equal‑opportunity employer. We recruit, employ, compensate, develop, and promote regardless of race, national origin, religion, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, and other protected status as required by applicable law. We champion a vibrant workplace culture that thrives on diversity and do not tolerate discrimination or harassment. We are one team from many backgrounds, innovating through diversity of individuals. Fabletics, Inc. will continue to champion a workplace culture that prizes diversity and inclusivity.

Apply

We encourage you to apply regardless of meeting all qualifications and/or requirements.