Senior Data Engineer python AWS snowflake

Watertown, Massachusetts


Full Time

$150k - $170k

Our client is the leading name in innovative beverage experiences. With 75 unique flavor choices, we provide our customers with unparalleled variety in the world of flavored water. Our hybrid model of direct-to-consumer and in-store sales ensures that we reach hydration enthusiasts everywhere. As we experience rapid growth, our commitment remains to our customers, quality, and embracing cutting-edge technology.

Position Overview:
As we scale our operations, we’re seeking an experienced Senior Data Engineer to join our elite tech team. The ideal candidate will be well-versed in the latest data technologies and architectures and will play a pivotal role in optimizing our data infrastructure to support our growth trajectory.

Key Responsibilities:

  1. Data Architecture & Management: Design, construct, install, and maintain large-scale processing systems, ensuring data availability and organizational agility.
  2. Pipeline Development: Create and optimize data pipelines, architectures, and data sets using state-of-the-art tools and techniques.
  3. Collaboration: Work closely with data scientists, analysts, and other stakeholders to ensure timely data availability and optimal data quality.
  4. Performance Tuning: Enhance the performance of big data applications and provide systems and infrastructure improvements.
  5. Cloud Management: Efficiently handle and deploy resources on AWS.
  6. Containerization: Utilize Kubernetes for scalable deployments and consistent operations.
  7. Data Modelling: Employ DBT to manage and transform the data in Snowflake.
  8. Continuous Learning: Stay current with the latest in data engineering trends, tools, and best practices to maintain our competitive edge.


  1. Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
  2. 5 to 8 years of experience in data engineering with a proven track record of solving complex challenges.
  3. Proficiency in Python.
  4. Expertise in cloud solutions, preferably AWS.
  5. Hands-on experience with DBT and Snowflake.
  6. Familiarity with Kubernetes.
  7. Strong understanding of both structured and unstructured data ecosystems.
  8. Exceptional problem-solving skills and attention to detail.

What We Offer:

  1. Competitive salary and benefits.
  2. An opportunity to shape the tech landscape in a fast-growing company.
  3. Career development opportunities.
  4. A vibrant, inclusive, and dynamic work environment.
  5. Employee discounts on our wide range of flavored water bottles.

Posted by: Phillip Perkins

Specialization: Data Engineering