WHO WE'RE LOOKING FOR

We're seeking out an enthusiastic and motivated Data Engineer to join our Analytics and Data Science team.

You are a self-motivated teammate with a curiosity for all things data related and love to solve problems.

You have worked with large structured and unstructured datasets to help reveal patterns and solve business problems.

You are excited by the challenge of building something from the ground up.

You ask lots of questions and are continually learning.

You take pride in hard work and are committed to advancing your knowledge and expertise.

WHAT WE'LL EXPECT FROM YOU

As a Data Engineer, you'll work with experienced Data Scientists on subjects like CLV, churn, CX and call center activity.

Build data products to extract valuable business insights and improve predictive power of models.

Focus on feature engineering, analytics, and the presentation of findings that help drive business results.

Identify valuable data sources and automate collection and ETL processes.

Clean, prep and verify the integrity of data for use in ML or reporting.

Demonstrate critical thinking and problem-solving skills.

Undertake preprocessing of structured and unstructured data.

Analyze large amounts of information to discover trends and patterns.

Present information using data visualization techniques.

Propose solutions and strategies to business challenges.

Analytical with a knack for data manipulation, math, and storytelling.

You may even have a passion for ML and AI.

WHAT YOU'LL BRING TO US

5+ years of relevant professional experience.

Experience in data mining, processing, and modeling.

Ability to solve complex analytical problems.

Experience in Microsoft tools including Azure Data Factory, Azure Synapse, Data Bricks, and Spark.

Some experience in data engineering, data science, or operations research/analysis preferred.

Demonstrable knowledge of common coding languages (Python, SQL, R) with ability to learn new skills and apply skills in new environments.

Experience using business intelligence tools (e.g. Power BI) and data frameworks (e.g. relational models).

Ability to collaborate with colleagues (IT, Business, and Data Science) and work well with vendors/partners.

Earned at least a bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, Applied Mathematics, Data Science, or quantitative field.

Excellent communication and presentation skills.

Analytical mind and business acumen, specific experience in Marketing and customer analytics is preferred.

Pay & Benefits Data (in accordance with the Equal Pay and Opportunities Act)

• Minimum Salary: $100,000.00
• Maximum Salary: $140,000.00

This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. Our Talent Acquisition team are able to answer any additional questions you may have as you move through the selection process. As part of our Total Rewards package, Consumer Cellular, Inc. offers a broad range of Health, Life, Voluntary Lifestyle and other benefits and perks that enhance your physical, mental, and emotional wellbeing.

• Competitive base pay with potential for shift differential, overtime and bonus pay
• Medical insurance (98% company-paid for full-time employee only coverage)
• Dental and Vision insurance (100% company-paid for full-time employee only coverage)
• 401(k) company match of 100% up to 6% of your pay
• Discounted Consumer Cellular wireless phone plan for employees
• Paid Time Off (PTO) available following a 30-day waiting period*
• 6 company-paid holidays plus 16 hours of floating holiday accrual per year
• Flexible Spending Accounts (FSA) for health care and dependent care expenses
• Life and AD&D insurance equal to 1x your annual earnings (100% company-paid)
• Long-Term Disability insurance (100% company-paid)
• Short-Term Disability insurance (100% company-paid)
• Employee Assistance Program (100% company-paid)
• Education reimbursement
• Employee rewards program

• Accrue up to 40 hours in 1st year for hourly positions and up to 120 hours for salaried positions.