Data Engineer

Target-posted 3 months ago
$73,200 - $131,700/Yr
Full-time • Entry Level
Brooklyn Park, MN
General Merchandise Retailers
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As an Engineer, the candidate selected for this role will serve as a technical specialist delivering the engineering that powers the product. The selected candidate will develop keen insight into the technical architecture and design to deliver robust and scalable software components. They constantly demonstrate the depth of their expertise by solving engineering problems while remaining passionate about the quality of software, and balance between speed of delivering new features and robustness of the software components that are implemented. The selected candidate can handle operational issues with little or no oversight, and review code to ensure the software quality and functional accuracy is maintained across the team. They are keen to learn the design and architecture of the product, and participate in activities that can influence both.

  • Use technology acumen to provide input to assist with evaluation of new technologies and contribute to the design, lifecycle management, and total cost of ownership of services.
  • Contribute to research and proof-of-concept initiatives for new technologies and assist with code review and design review.
  • Write, organize, and maintain code based on designs.
  • Deliver high-performance, scalable, repeatable, and secure deliverables with guidance.
  • Participate in structured construction, automation, debugging, and implementation activities.
  • Ensure architectural and operational requirements and best practices are met.
  • Participate in disaster recovery planning and activities.
  • Contribute to functional integration and regression testing.
  • Demonstrate the ability to automate test scripts.
  • Resolve frequently encountered technical issues and monitor systems capacity with minimal assistance.
  • Search and understand metadata about various data sources and metrics.
  • Adhere to change and incident management standards and expectations.
  • 4-year degree or equivalent experience.
  • 1+ years' of software development experience preferably in data engineering/Hadoop development (Hive, Spark etc.).
  • Hands-on experience in object oriented or functional programming such as Scala, Java, Python, Spark.
  • Experience with cloud platforms like Google Cloud, AWS, or Azure.
  • Experience with visualization tools like Power BI and Domo.
  • Experience with data migration tools.
  • Hands-on experience on big query will be an added advantage.
  • Understands the concepts of distributed programming and applies it to their domain.
  • Basic understanding of CI/CD processes and tools.
  • Knowledge of software design patterns and principles.
  • Familiarity with operating systems, networking, databases, and debugging tools.
  • Experience with query languages (SQL, HiveQL) for data analysis and profiling.
  • Experience writing code with a focus on edge cases, errors, and security best practices.
  • Ability to work independently, setting goals and driving work to completion.
  • Effective communication and collaboration skills in a team environment.
  • Demonstrates and continuously builds upon domain-specific knowledge.
  • Maintains technical knowledge within areas of expertise.
  • Stays current with new and evolving technologies via formal training and self-directed education.
  • Comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more.
  • 401(k).
  • Employee discount.
  • Short term disability.
  • Long term disability.
  • Paid sick leave.
  • Paid national holidays.
  • Paid vacation.
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