Remote Senior Data Engineer

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Janea Systems

📍Remote - Worldwide

Job highlights

Summary

Join Janea Systems (USA) as a Senior Data Engineer and contribute to high-impact software development services for Fortune 500 companies. The ideal candidate has experience in data engineering, cloud native solutions, and Python programming.

Requirements

  • Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience
  • Some exposure designing cloud native solutions and implementations with Kubernetes
  • Experience with Airflow or similar pipeline orchestration tools
  • Strong background in Python programming
  • Demonstrated experience in collaborating with Data Science and Engineering teams in a production environment
  • Firm grasp on SQL and knowledge of relational data modeling schemas

Responsibilities

  • Develop and maintain data pipelines using Databricks, Airflow, or similar orchestration systems
  • Write robust, maintainable code in Python, following best practices and coding standards
  • Design and implement solutions using Kubernetes, ensuring high availability and scalability
  • Gather product data requirements and implement solutions to ingest, process, and serve that data to applications at scale
  • Collaborate closely with Data Science and Engineering teams to build production-ready applications, optimizing for performance and scale
  • Cultivate data from a wide range of sources for use by our data scientists and maintain documentation for data
  • Design a modern data stack, with a keen focus on providing a platform for data scientists and ML engineers to develop production ready models and pipelines
  • Work across Data Science and Engineering teams to ensure effective collaboration and communication

Preferred Qualifications

  • Preference for experience with Databricks or Spark
  • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance

Benefits

  • Competitive compensation with benefits, paid vacation, and sick leave
  • The opportunity to work with a globally diverse team of top Engineering talent on the industry’s toughest Engineering challenges
  • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development
  • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done

Job description

Janea Systems (USA) is a dynamic team of the best & brightest software engineering specialists and solutions innovators, from around the world. From kernel to cloud, we provide high-impact software development services to Fortune 500 companies.

We are seeking an exceptionally talented Senior Data Engineer to join our rapidly growing consulting team.

Location

Remote/ Must be resident in any European country

Compensation

Salary

Work Schedule

Full time/ Flexible working hours

Reports to

Team Lead

Member of

Engineering Team

To be considered for this position, you must have the following qualifications:

  • Proven experience as a data engineer, preferably with at least 3 or more years of relevant experience.
  • Some exposure designing cloud native solutions and implementations with Kubernetes
  • Experience with Airflow or similar pipeline orchestration tools.
  • Strong background in Python programming.
  • Demonstrated experience in collaborating with Data Science and Engineering teams in a production environment.
  • Firm grasp on SQL and knowledge of relational data modeling schemas.
  • Preference for experience with Databricks or Spark
  • Familiarity with modern data stack design and strong opinions on data lifecycle management, testing, and governance.
  • Passion for coaching and working in a team-oriented environment.
  • Experience with distributed systems, microservices architecture, and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Excellent problem-solving skills and the ability to analyze and debug complex issues.
  • Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.

Ideal candidates will also have:

  • Flexible regarding project interests

Responsibilities:

  • Develop and maintain data pipelines using Databricks, Airflow, or similar orchestration systems.
  • Write robust, maintainable code in Python, following best practices and coding standards.
  • Design and implement solutions using Kubernetes, ensuring high availability and scalability.
  • Gather product data requirements and implement solutions to ingest, process, and serve that data to applications at scale
  • Collaborate closely with Data Science and Engineering teams to build production-ready applications, optimizing for performance and scale.
  • Cultivate data from a wide range of sources for use by our data scientists and maintain documentation for data.
  • Design a modern data stack, with a keen focus on providing a platform for data scientists and ML engineers to develop production ready models and pipelines.
  • Work across Data Science and Engineering teams to ensure effective collaboration and communication.

Why join Janea? Because world-class talent deserves world-class opportunities. What we offer:

  • Competitive compensation with benefits, paid vacation, and sick leave.
  • The opportunity to work with a globally diverse team of top Engineering talent on the industry’s toughest Engineering challenges.
  • Ultra-flexible working conditions – we provide a generous office equipment allowance so you can work from home, we can also provide you with a desk at an office/coworking facility near you, or use both. No business travel necessary.
  • An enjoyable, start-up work environment, with excellent opportunities for professional growth and development.
  • Flexible working hours – as a remote-first company, our focus has always been on getting the job done well, not when or where it gets done.

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