Build and deliver business intelligence capabilities across data engineering, analytics, and data science platforms in a hybrid role in Scottsdale.

Partner with business users to define reporting and dashboard requirements and identify gaps in data, logic, and business understanding
Design and develop backend solutions for new data sources using the Cloudera technology stack
Create complex, interactive Tableau dashboards, scorecards, and reports for business processes, including trends and projections
Perform in-depth data analysis, including logical conclusions and cause-and-effect analysis based on available data
Design data ETL and data manipulations to support production and ad-hoc analysis and reporting
Research industry best practices and help guide strategic data platform tools and processes
Recommend standards, policies, and procedures for BI tool form, structure, and attributes
Support and train business teams as needed
Write data infrastructure and analytics software tools for Data Science
Mentor and train interns
Guide Data Scientists on software engineering best practices
Collaborate with analytics leadership and engineers across EW to deliver architectural and software enhancements to the Data Science platform
Collaborate with Data Science leadership to improve ETL and cluster computing
Support the company commitment to risk management by protecting integrity and confidentiality of systems and data

Bachelor’s degree (education and experience typically obtained through a Bachelor’s degree)
2-4 years of demonstrated progressive work experience in PySpark/Python/Spark/Scala for data engineering development in a Linux environment
Understanding of Tableau Server and Tableau dashboarding
Demonstrated ability with testing, problem solving, and analysis
Knowledge of principles, practices, and techniques of dashboard development, reporting, data modeling, ETL, and systems design
Experience working with SQL and Spark
Software/data engineering in Python
Machine learning toolkits in Python/R
Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
Relational databases with experience optimizing/tuning queries, indexing, and partitioning
Experience collaborating with internal engineering and technology teams to build data infrastructure in a regulated, enterprise environment
Strong communication skills
Background and drug screen

Competitive medical (PPO/HDHP), dental, and vision plans, including company contributions to your HSA or pre-tax savings through FSA for commuting, health, and dependent care expenses
401(k) Retirement Plan with a 100% Company Safe Harbor Match on the first 6% deferral immediately upon eligibility
Paid Time Off: Flexible Time Off for Exempt (salaried) employees, generous PTO for Non-Exempt (hourly) employees, plus 11 paid company holidays and a paid volunteer day
12 weeks of Paid Parental Leave
Maven Family Planning support (egg freezing, fertility, adoption, surrogacy, pregnancy, postpartum, early pediatrics, and returning to work)

Primarily sedentary work with extensive computer use and sitting for periods of approximately four hours
May require occasional standing, walking, kneeling, and reaching
Must be able to lift 10 pounds occasionally and/or negligible amount of force frequently
Requires visual acuity and dexterity to view, prepare, and manipulate documents and office equipment including personal computers
Requires the ability to communicate with internal and/or external customers
Must be able to perform essential functions with or without reasonable accommodation

Base pay scale (Phoenix, AZ / Chicago, IL): $83,000 - $110,000 per year
Base pay scale (New York, NY / San Francisco, CA): $99,000 - $132,000 per year
Discretionary incentive plan and benefits (in addition to base pay)

Scottsdale, AZ (hybrid)
Candidates must independently possess eligibility to work in the United States for any employer at the date of hire
Position is ineligible for employment visa sponsorship

Data Engineer II

Job Description