Lead Data Engineer in Portland, Oregon at AccruePartners

Date Posted: 10/30/2019

Job Snapshot

Job Description

AccruePartners values our contract and consulting employees. We offer a competitive benefits package to meet the diverse needs of all of our contractor and consulting employees and their family members. Here is a listing of what our company offers: 401(k) Medical, Dental, Vision, Life Insurance, Employee Assistance Program, Medical and Prescription Drug, Short and Long-Term Disability Insurance. 

THE TEAM YOU WILL BE JOINING:

  • High-Growth Publicly traded organization with revenues over $15B; highly diversified with over 45,000 customers and 100+ locations in North America
  • Highly acquisitive company is one of the fastest growing in North America; more than 84,000 employees at 229 locations globally
  • Multi-billion dollar business model that embraces a fast-paced and innovative culture with heavy growth by way of acquisition

WHAT THEY OFFER YOU:

  • Company offers upward mobility and promotion from within
  • Excellent benefits and team oriented work environment
  • Global company with an outstanding reputation and great tenure

WHERE THIS POSITION IS LOCATED:

  • Portland, OR

WHY THIS ROLE IS IMPORTANT:

  • 50% - Lead the design and technical solutions for data engineering projects. This includes confirming delivery requirements, planning/tracking/communicating resources and delivery plan, and designing and reviewing solutions.
  • 10% - Hands-on development work to test out POCs and design/development patterns and help team as needed on projects’ delivery.
  • 10% - Mentor other team members on technical skills, best practices, problem solving approaches, and standard patterns.
  • 10% - Understand and improve shared standard patterns, templates, and artifacts data platform architecture, development approaches, data models, and new technology adoption and rollout.
  • 5% - Collaborate with upstream and downstream IT and business teams to identify and document use cases, performance and capability requirements, and criteria for successful solution delivery.
  • 5% - Troubleshoot technical issues in existing processes and current development work, solicit assistance from other roles and groups, and drive resolution to ensure the integrity of platform quality and project timelines.
  • 5% - Proactively define patterns and share technical approaches and best practices among other developers, and simplify and communicate completed work to broader audiences across the company.
  • 5% - Help support data consumers to ensure they have reliable access to trusted data. This includes periodic responsibility for 24x7 on call production support.
  • Review and approve other team members’ solution designs, providing necessary feedback to ensure they’re cost-effective, appropriate for the prevailing architecture, and capable of effectively meeting business needs given available resources and skills.
  • Assert priority order across the portfolio of active and backlog projects, considering stakeholder input and resource constraints
  • Assign work to team members in such a way that balances available skills and resource capacity with the business needs for specific deliverables and timing
  • Lead and own execution and delivery of a project across team members from multiple teams.
  • Lead daily stand-up meetings within immediate work group and proactively communicate status and progress of project work
  • Hold team members accountable to expectations of delivery and quality within and across projects, and provide feedback and appropriate evidence to management when patterns of low performance warrant further review and follow up
  • Mentor and coach teammates in business and technical knowledge and problem resolutions

THE BACKGROUND THAT FITS:

  • Master's degree in Computer Science, MIS, Engineering, Business or similar required.  
  • Minimum 5 years experience in leading and delivering business solutions that rely on data warehousing, data engineering, or similar domains

ADDITIONAL PREFERENCES:

  • 5-10 years hands-on experience in delivering solutions in at least two areas which include: Data Modeling, Data Integration, Data Analysis, SQL.            

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