Principal Data Engineer

SourcewellStaples, MN
$114,320 - $142,900Remote

About The Position

This position is responsible for leading in the design, development, and maintenance of data solutions that align with organizational needs.

Requirements

  • Bachelor’s degree in computer science or related field AND a minimum of seven (7) years’ experience in designing and developing data solutions and managing large scale databases OR A combination of IT related post-secondary and/or professional education and demonstrated relevant work experience designing and developing data solutions and managing databases equivalent to a total of eleven (11) years.
  • Five (5) years’ experience with SQL Server including: database design, writing and optimizing complex SQL statements and stored procedures, index design and maintenance, and database administration (e.g. security, backups, etc.)
  • Five (5) years’ experience designing, developing, and maintaining ETL solutions (e.g. SSIS, Azure Data Factory)
  • Four (4) years’ experience with some the following technologies: .NET, C#, REST, OAuth, and ODBC.
  • Three (3) years’ experience with some the following technologies: Azure, Power BI, SSRS, Azure DevOps, Jira, and Git.
  • Strong business process/operational knowledge (e.g., customer service, inventory management, procurement, accounting, education/student data, etc.)

Nice To Haves

  • Master’s degree in computer science or related field AND fourteen years’ experience in data engineering.
  • Twelve (12) years’ experience with SQL Server including: database design, writing and optimizing complex SQL statements and stored procedures, index design and maintenance, and database administration. (e.g. security, backups, etc.)
  • Twelve (12) years’ experience designing, developing, and maintaining ETL solutions. (e.g. SSIS, Azure Data Factory)
  • Seven (7) years’ experience with some the following technologies: .NET, C#, REST, OAuth, and ODBC.
  • Five (5) years’ experience with some the following technologies: Azure, Power BI, SSRS, Azure DevOps, Jira, and Git.
  • Three (3) years’ experience with education/student data.

Responsibilities

  • Lead, design, and develop new data solutions and enhance existing data solutions that meet specified criteria.
  • Create document designs (data structures, algorithms, constraints, dependencies, etc.) and review others designs to ensure accuracy and appropriateness of the solution.
  • Collaborate with appropriate team members/stakeholders to identify business requirements and identify possible solutions.
  • Document code created, testing, and deployment processes used.
  • Design data and integration solutions for complex scenarios, working cross-functionally on large-scale systems.
  • Stay informed and educated on changing technologies, frameworks, design approaches, and data engineering best practices.
  • Lead data architecture planning and decision making.
  • Develop and implement effective, secure, and efficient data solutions. (e.g. databases, integrations, reports, analytics, etc)
  • Optimize systems for deliverability, scalability, and performance.
  • Identify potential risks and issues that may occur within development and maintenance of data solutions, present potential options, and risk mitigation strategies.
  • Develop quality control processes to ensure data integrity, including unit testing.
  • Follow data solution development best practices, including compliance to internal and external regulations. (e.g. SOC, FERPA)
  • Maintain existing critical data systems including updates, enhancements, and fixes.
  • Collaborate with team members/stakeholders to ensure solutions are tested, secure, and monitored.
  • Resolve errors within data systems.
  • Respond to service desk tickets and requests from project managers or leadership.
  • Serve as a mentor to other data engineers, supporting growth and development.
  • Be an ambassador for data engineering lifecycle best practices, educating other data engineers, serving as a role model, and encouraging practices to follow.
  • Provide guidance on complex issues, unique situations, and data engineering challenges.
  • Participates in releases and support as necessary, including outside of traditional work hours.
  • Other duties as assigned

Benefits

  • paid volunteer time
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