Sr. Data Engineer

Knix is an award-winning intimate apparel and activewear brand that is re-inventing intimates for real life. Through our innovative products and our engaged community, we are empowering people everywhere to be unapologetically free. Launched in 2013, we are one of the fastest-growing intimate apparel brands in North America and are globally recognized as an innovator within the apparel space. We reach over 3 million customers through our online stores, Knix retail locations across North America and channels such as wholesale and Amazon. We are revolutionizing the apparel industry with our best-in-class customer experience, innovative products and brands Knix and Kt by Knix. Come join us if you are looking for a purpose-driven and authentic career!

Knix is looking for a passionate and experienced Senior Data Engineer to join our growing Technology team. This hands-on role will play a key part in building and scaling a modern data platform that powers decision-making across the business. You’ll work with a stack that includes Snowflake, DBT, FiveTran, Airbyte, AWS, and Looker—developing robust pipelines, shaping our data models, and partnering cross-functionally to unlock insights that drive growth.

The ideal candidate is a builder at heart—curious, detail-oriented, and relentless in their pursuit of scalable, high-quality data. If you're excited about building clean and reliable data systems in a fast-paced environment, this role is for you.

About You:

You thrive in fast-paced environments and enjoy solving complex, cross-functional problems

You’re fluent in Python and SQL and love building clean, scalable pipelines

You think about data architecture holistically and design with performance and governance in mind

You sweat the details—ensuring reliability, usability, and security at every step

You’re a strong communicator and can translate business needs into scalable data solutions

Above all, you’re proactive, positive, and excited by Knix’s mission to redefine intimates

DATA PIPELINES & INTEGRATIONS

Design, build, and maintain scalable ELT/ETL pipelines using FiveTran, Airbyte, and custom Python workflows

Manage data ingestion and transformation across AWS services including S3, Lambda, Glue, and Athena

Monitor pipeline performance and implement logging, alerting, and troubleshooting as needed

DATA MODELING & TRANSFORMATION

Administer and optimize Knix’s Snowflake environment including role-based access, cost efficiency, and query performance

Develop and maintain scalable data models in Snowflake, using both dimensional and normalized design patterns

Build and maintain reusable transformation logic in DBT to deliver high-quality, analysis-ready datasets

DATA INSIGHTS & ENABLEMENT

Partner closely with engineering, analytics, and business teams to understand data needs and deliver clean, governed datasets

Design and optimize Looker explores, views, and dashboards to enable self-serve analytics

Apply best practices in data quality, documentation, and governance to ensure trust in our data

SCALABILITY & EXCELLENCE

Champion data engineering best practices, including version control, testing, and peer reviews

Support performance tuning and optimization across the data stack

Stay on top of emerging tools and trends in the modern data ecosystem to drive innovation at Knix

Qualifications:

7+ years of experience in software and/or data engineering, with at least 4 years focused on data engineering or analytics engineering

Deep hands-on experience with Snowflake, DBT, FiveTran, and Looker in a production environment

Proficiency in Python for data workflows, automation, and orchestration

Strong SQL skills and experience designing scalable, performant data models

Hands-on experience with AWS services such as S3, Lambda, Glue, and Athena

Familiarity with Airbyte or similar tools for custom data ingestion

Strong problem-solving skills and the ability to work both independently and collaboratively

Understanding of data governance, access control, and system performance tuning

Bonus Points:

Experience working with Shopify, NetSuite, or Segment

Background in e-commerce, SaaS, or financial analytics environments

Familiarity with orchestration tools like Airflow, Dagster, or similar

Additional Information

How we Hire

Our people are what make Knix, Knix! Our people are passionate and have a strong belief in our mission. Our people are naturally curious and ambitious by nature. Employees feel respected and supported at Knix. We take an inclusive and equitable approach offering the same interview experience to every candidate we meet with. Knix is an equal opportunity employer, we celebrate everyone and their intersecting identities. We know and believe that diverse and inclusive teams empower us to make better decisions and inspire innovation so that we can better serve our customers and community. We are committed to providing reasonable accommodations and will work with you to meet your needs. If you are a person with a disability and require assistance during the application process, please don’t hesitate to reach out! We celebrate our inclusive work environment and welcome members of all backgrounds and perspectives to apply.

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