Data Engineer II

Compensation Pay Range:

The actual hourly rate will equal or exceed the required minimum wage applicable to the job location.  Additional compensation includes annual, quarterly performance, or premiums may be paid in amounts ranging per hour in specific circumstances. Premiums may be based on schedule, facility, season, or specific work performed. Multiple premiums may apply if applicable criteria are met.

This position is responsible for designing, evaluating, and creating systems to support data science projects across the O'Reilly organization, as well as expanding and optimizing our data and data pipeline architecture.  This includes data cleansing, preparation, and ETL. The ideal candidate will identify and work with the appropriate technology and software engineering solutions to facilitate machine learning and analytic pipeline deployment.

ESSENTIAL JOB FUNCTIONS

Move, structure, encode, and condense data from disparate database systems and formats.       

Identify, design, and implement internal process improvements such as, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.                

Create data tools for analytics and data science team members that assist them in building and optimizing solutions to become an innovative industry leader.                                                         

Evaluate performance of machine learning systems and work with data scientists to improve quality.

Build processes supporting data transformation, data structures, metadata, dependency and workload management.                                                               

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.                                

Develop software solutions with a focus on maintainability and modularity.

SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES

Required:

Bachelor’s degree

2+ years of practical experience with ETL, data processing, database programming and data analytics

Strong knowledge of Python; including Pandas, Numpy, SciKit-Learn, and experience with notebooks such as Jupyter

Demonstrable knowledge of software design and engineering best practices

Experience working with large-scale distributed data systems

Excellent written and verbal communication skills

Desire to work in a dynamic and collaborative environment

Desired: 

Experience with machine learning and modeling techniques such as regressions, clustering, classification, random forests, gradient boosting, etc., including optimization of models and statistical evaluation of modela

Experience with statistical analysis of data                                                                                     

O’Reilly Auto Parts has a proven track record of growth and stability. O’Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization. 

Total Compensation Package:

• Competitive Wages & Paid Time Off

• Stock Purchase Plan & 401k with Employer Contributions Starting Day One

• Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)

• Team Member Health/Wellbeing Programs

• Tuition Educational Assistance Programs

• Opportunities for Career Growth

O’Reilly Auto Parts is an equal opportunity employer.  Hiring decisions are administered without regard to race, color, creed, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, ancestry, citizenship status, disability, veteran status, genetic information, or any other basis protected by applicable federal, state or local law.
Reasonable Accommodations: Qualified individuals with known disabilities may be entitled to reasonable accommodation under the Americans with Disabilities Act and certain state or local laws.