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Data Engineer - Python, Excel, SQL

Hillsboro, OR

Mavensoft is seeking Applications for a strong Business Operations Data Engineer with data migration skills from qualified, interested, and available candidates for 6 months contract assignment with a leading company in Portland, OR. If you are interested and meet the below requirements, please email, or apply online for immediate considerations with your salary expectations.

 NOTE*Corp to Corp C2C candidates *will not* be considered

Candidates MUST have 2-5 years’ experience as Data Engineer in a real-world Business Operation with data copy and migration experience and passion for problem solving and customer service. The ideal candidate will have search, recommendation, retail, or digital experience and must be proactive self-starter with ability to work independently.

Job Title: Data Engineer - Python, Excel, SQL
Duration: 9 months contract
Location: Beaverton, OR
Remote Work: Fully remote is fine but the candidate must have significant time overlap with the team (6+ hours), which is Pacific Standard Time; expected to be Onsite when WHQ campus opens

Key Skills: Python, SQL, Excel
Desired Skills: Scripting in Python and SQL, Tableau, AWS, Amazon Relational Database Services understanding
Bonus Skills: ML/AI is a plus, DOMO or Tableau ETL tools experience with chargeback, show back, budgeting and forecasting as core capabilities

Job Description:
In a collaborative team of data engineers and analysts that work to “Fuel Data Driven Decisions!” do analysis to cover operational delivery, financial variance, labor resources, and deep insights into cloud spend. 
As Business Operations Data Engineer for the Enterprise Architecture & Platforms (EAP) domain / Performance Management & Way of Working team, lead the automation, simplification, and efficiency of reporting within client’s ecosystem.
This role is focused on the developing data pipelines for ingesting data sets and working with analysts, engineers, and domain architects to deliver quality data, optimize costs, and automate processes.
Transform complex technical requirements into simple solutions that will impact teams on a global scale.
Support data analysts in enhancing value, producing quality data, and integrating tools & platforms in support of Nike’s digital transformation. 
Partner with analysts and application development squads, while also supporting the data & metadata needed to produce data driven decision.
Must have experience creating advanced product level visibility that will help drive better business decisions and cost accountability

Job Responsibilities:
Proficiency in developing repeatable and efficient data automation to codify and simplify end-to-end processes and methods
Passion for automating everything, from leveraging open-source tools to delivering machine learning based forecasts, self-service budgets, and real time spend visibility and much more!
DevOps and developmental mindset with the ability to discern patterns, drive efficiencies, and lower total cost of ownership for technology processes and solutions
Self-starter with a desire to exceed customer expectations
Above average oral and written communication skills
Experience working across silos in change-controlled environments
Senior experience in using & integrating application programming interfaces (APIs)
Senior experience scripting using Python, Ruby, SQL
Familiarity with Perl, PowerShell, JavaScript
Experience with Jira, Aha! BI/Visualization (DOMO or Tableau) & ETL tools
Experience providing chargeback, show back, budgeting and forecasting as core capabilities

Education and Qualifications Required:
Degrees required for this job: BS degree in Computer Science or related technical field or equivalent practical experience
Experience required for this job: 5+ years’ DevOps experience and mindset, above average oral and written communication skills

Email your resume to: usjobs@mavensoft.com
To learn more about Mavensoft visit us online at http://www.mavensoft.com/


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