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Full-Time

Senior Analytics Engineer

Confirmed live in the last 24 hours

Docker

Docker

501-1,000 employees

Provides platform for application containerization

Enterprise Software
Consumer Software
Data & Analytics

Senior, Expert

Remote in Canada

Category
Data Engineering
Data & Analytics
Required Skills
Python
Git
SQL
AWS
Looker
Data Analysis
Snowflake
Requirements
  • 5+ years of experience in data engineering or analytics engineering roles, with a proven track record of leading complex data projects and initiatives.
  • Deep expertise in SQL, DBT, and data modeling, with a strong understanding of data pipeline design, ETL processes, and data warehousing.
  • Proficiency in software engineering principles, including CI/CD pipelines, version control (e.g., Git), and scripting languages (e.g., Python).
  • Hands-on experience with tools like Snowflake, DBT, and Looker. Familiarity with additional tools and platforms (e.g., AWS, Kubernetes) is a plus.
  • Strong analytical and problem-solving skills, with the ability to diagnose and resolve complex technical issues related to data infrastructure.
  • Demonstrated ability to mentor and lead junior engineers, with a focus on fostering a collaborative and high-performance team environment.
  • Excellent communication skills, with the ability to clearly and concisely convey complex technical concepts to both technical and non-technical stakeholders.
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
Responsibilities
  • Design, develop, and maintain highly scalable and efficient data pipelines, ensuring timely and accurate collection, transformation, and integration of data from various sources.
  • Architect and implement robust data models and data warehousing solutions that enable efficient storage, retrieval, and analysis of large, complex datasets.
  • Work closely with data scientists, analysts, and business stakeholders to understand data requirements, translating them into actionable data models and insights.
  • Implement and oversee rigorous data validation, cleansing, and error-handling mechanisms to maintain high data quality and reliability.
  • Continuously monitor and optimize data pipeline performance, identifying and resolving bottlenecks and inefficiencies to maintain optimal system responsiveness.
  • Provide guidance and mentorship to junior analytics engineers, fostering a collaborative and learning-oriented environment.
  • Contribute to the strategic direction of data initiatives, staying abreast of industry best practices, emerging technologies, and trends in data engineering and analytics.
  • Build and maintain user-facing documentation for key processes, metrics, and data models to enhance the data-driven culture within the organization.
  • Serve as a key expert in tools such as Snowflake, DBT, and Looker, ensuring they are leveraged effectively to meet business needs.

Docker offers a platform for efficient and portable application development through containerization technology, integrating with various development tools and enabling the creation of portable container images to run consistently in any environment.

Company Stage

Series C

Total Funding

$353M

Headquarters

Santa Clara, California

Founded

2013

Growth & Insights
Headcount

6 month growth

8%

1 year growth

26%

2 year growth

85%
Simplify Jobs

Simplify's Take

What believers are saying

  • Docker's recent $105M Series C funding round and double unicorn status indicate strong financial health and growth potential.
  • The company's pivot to a developer-focused model has resulted in a significant increase in annual recurring revenue, showcasing its successful restructuring.
  • Continuous investment in performance and flexibility, as seen with the acquisition of Mutagen, ensures Docker remains at the forefront of container technology.

What critics are saying

  • The sale of Docker Enterprise to Mirantis may limit Docker's influence in the enterprise market, potentially reducing its customer base.
  • Frequent acquisitions and restructuring efforts could lead to integration challenges and operational disruptions.

What makes Docker unique

  • Docker's focus on developer-centric tools and cloud-native application development sets it apart from competitors who may target broader enterprise solutions.
  • The company's strategic acquisitions, such as AtomicJar and Nestybox, enhance its capabilities in testing and container security, providing a more comprehensive development environment.
  • Docker's open-source roots and strong community support offer a unique advantage in fostering innovation and rapid adoption.