About the role

  • Data Engineer managing departmental data needs and optimizing data pipelines for analytical purposes. Collaborating with advanced analytics teams and ensuring adherence to governance standards.

Responsibilities

  • Maintain data environments and design controls/pipelines for adding data
  • Build, manage, and optimize processes for extraction, transformation, and loading of data from a variety of sources
  • Actively participate in identifying test cases and the review process to ensure test and development work adheres to standards and specifications
  • Partner with business users and advanced analytics teams to meet their data requirements
  • Maintain up to date knowledge on new tools and approaches to data delivery
  • Develop rules, standards, and procedures to ensure security, usability, consistency, and data integrity

Requirements

  • Masters degree or equivalent (6-years)
  • Demonstrated ability with relevant programming/statistical tools (may include Python, SQL, AWS Data and Analytical Services and other tools)
  • Extensive experience with data storage techniques and file formats
  • Experience monitoring and tracking data quality
  • Extensive experience with ETL Processes
  • Self-starter, open to on-the-job training and desire to learn and drive process improvement
  • Ability to work as an effective team member and independent contributor

Benefits

  • Vacation time
  • Sick time
  • 401(k)
  • Health insurance
  • Dental insurance
  • Life insurance

Job title

Senior Data Engineer, Manager

Job type

Experience level

Senior

Salary

$114,000 - $157,000 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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