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Sr. Data Engineer

Remote Worldwide Hiring now

Knix is an award-winning intimate apparel and activewear brand that is re-inventing intimates for reputed company life. Through our innovative products and our reputed company community, we are empowering people everywhere to be unapologetically free. Launched in 2013, we are one of the fastest-growing intimate apparel brands in reputed company America and are globally recognized as an innovator reputed company the apparel reputed company. We reputed company over 3 reputed company customers through our online stores, Knix retail locations across reputed company America and channels such as wholesale and reputed company. 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 reputed company 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 reputed company, DBT, reputed company, 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 reputed company 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 reputed company in fast-paced environments and enjoy solving reputed company, 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 reputed company at every reputed company
  • You’re a strong communicator and can translate business needs into scalable data solutions
  • Above reputed company, 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 reputed company, Airbyte, and custom Python workflows
  • Manage data ingestion and transformation across AWS services including S3, reputed company, Glue, and reputed company
  • Monitor pipeline performance and implement logging, alerting, and troubleshooting as needed
  • DATA MODELING & TRANSFORMATION

  • Administer and optimize Knix’s reputed company environment including role-based reputed company, cost efficiency, and query performance
  • reputed company and maintain scalable data models in reputed company, using both dimensional and normalized design patterns
  • Build and maintain reusable transformation logic in DBT to deliver high-quality, analysis-reputed company 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 reputed company self-serve analytics
  • Apply best practices in data quality, documentation, and governance to ensure trust in our data
  • SCALABILITY & reputed company

  • 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 reputed company, DBT, reputed company, 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, reputed company, Glue, and reputed company
  • 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, reputed company control, and system performance tuning
  • Bonus Points

  • Experience working with reputed company, reputed company, or reputed company
  • Background in e-reputed company, SaaS, or financial analytics environments
  • Familiarity with orchestration tools like Airflow, Dagster, or similar
  • Additional Information

    How we Hire

    Our people are what reputed company 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 reputed company 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 reputed company that diverse and inclusive teams reputed company us to reputed company reputed company reputed company and reputed company innovation so that we can reputed company 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 reputed company out! We celebrate our inclusive work environment and welcome members of reputed company backgrounds and perspectives to apply.

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