Senior Data Engineer

Job Summary

Consumer Cellular is seeking skilled Senior Data Engineers who thrive in a highly collaborative, agile team environment. Engineers at Consumer Cellular design elegant technical solutions for complex product requirements, deliver high quality code as part of a fast-moving agile team, and own the stability and quality of their domain. We would love to hear from talented engineers who share our passion for leveraging the latest technology to provide a best-in-class experience to our customers.

You will need to reside within 50 miles of our Corporate Headquarters in Scottsdale, AZ as this role has the option of hybrid or onsite.

United States
- Arizona
- Scottsdale, 9363 E Bahia Dr, 85260

• Collaborate with data engineering and cross-functional teams to build and deliver custom enterprise data warehousing and database solutions.
• Accurately estimate tasks, bugs, and spikes in your domain.
• Develop software that meets code quality standards and metrics.
• Build productive internal/external working relationships.
• Effectively manage risk, change, and uncertainty with support from your leader and peers.
• Build a solid understanding of inter-team functional data dependencies and navigate appropriate communication channels for solving issues as they arise.
• Design and implement new features while continuously improving quality of technical data products and database applications.
• Act as a technical expert and engineer on an agile squad.
• Create and execute long term vision of technical data products and database applications.
• Drive the architectural solutions across data warehousing and transactional databases.
• Develop and lead communities of practice by mentoring engineers, creating, and enforcing standards, reviewing others code, and sharing knowledge and know‑hows.
• Remain current on new cloud data solutions, design patterns, products, and development trends.
• Assist with problem resolution for customers and end users.
• Other duties, as maybe assigned.

• Expert knowledge of data engineering, database solution design, solid principles of data modeling.
• 5+ years experience in data engineering and database technologies.
• Experience with Data Engineering and Cloud products.
• Experience building and maintaining ML data pipelines, feature engineering workflows, and model‑ready datasets.
• Experience in various Data Engineering Methodologies and Data Warehousing Models.
• Experience in data governance and security best practices.
• Experience in data accessibility best practices.
• Strong problem solving and collaboration skills.
• Excellent verbal and written communication skills.
• Strong team player and a coach.
• Bachelor’s degree in Computer Science/Information Systems or comparable.

• Experience in SQL, Python and Enterprise Data Warehousing.
• Proficient in Azure or similar cloud technologies – Data Factory, Data Lake, Function App.
• Experience in building out ELT (Extract Load Transform) solutions.
• Experience in SQL Server, Spark, Azure Synapse, Kafka or similar.
• Proficient in writing SQL Queries and Python Notebooks.

• Knowledge of one or more modern database data models, design and Reporting Data frameworks representative of ELT, ETL or similar.
• Hands‑on experience with Databricks, including Delta Lake, Unity Catalog, and Databricks Workflows.
• Git Hub – Enterprise or similar.
• Other Cloud Technologies for Data Engineering – Snowflake, Databricks, Fabric.

The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to sit, stand, and walk. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.

The noise level in the work environment is usually moderate.

The above statements are intended to describe the general nature and level of work performed…