Senior Data Engineer

Cellular Sales

Senior Data Engineer

ClassificationExempt

Reports toData Engineering Manager

JOB DESCRIPTION

Summary/Objective

This role is a highly skilled individual contributor who specializes in the development, optimization, and maintenance of data infrastructure and systems. This role requires deep technical expertise in data architecture, pipeline development, and performance tuning. The ideal candidate is passionate about solving complex data challenges and delivering high-quality, scalable solutions that support business analytics, data science, and operational needs.

ESSENTIAL FUNCTIONS

• Design, build, and maintain scalable and resilient data pipelines using best-in-class tools and frameworks.
• Develop and optimize ETL/ELT processes to support high-volume data ingestion and transformation.
• Work closely with data scientists, analysts, and software engineers to understand data requirements and deliver reliable datasets.
• Perform advanced query tuning, data partitioning, and performance optimization.
• Ensure data integrity, quality, and governance across all solutions.
• Automate monitoring, alerting, and recovery processes for data workflows.
• Stay current with emerging technologies and recommend improvements to the data stack.

Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Competencies

• Expert-level proficiency in SQL and relational database systems
• Proficient programming skill (e.g., Python, Scala, or Java)
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and managed data services
• Deep understanding of data modeling, warehousing, and ETL/ELT best practices
• Proficiency in big data tools (e.g., Apache Spark, Kafka, Airflow, dbt)
• Familiarity with data governance, security, and compliance standards
• Strong analytical thinking and problem-solving capabilities
• Ability to work independently and collaborate in cross-functional teams

 Required Education and Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred.
• 5+ years of experience in data engineering or related role
• Proven track record of building and maintaining production-grade data pipelines and infrastructure
• Experience working in fast-paced, data-driven environments

Supervisory ResponsibilityNone

Work EnvironmentThis job operates in a professional office environment. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines.

Physical Demands

Must be able to sit for long periods of time, Must be able to lift up to 30 lbs., Must be able to drive

This is largely a sedentary role; however, some filing is required. This would require the ability to lift files, open filing cabinets and bend or stand on a stool as necessary.

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.

Position Type/Expected Hours of WorkThis is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m.

Travel1-10%

Additional Eligibility Qualifications (Knowledge, Skills, Abilities)

AAP/EEO StatementReasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Other DutiesPlease note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.