Senior Data Engineer, AdTech

T-Mobile•Philadelphia, PA

1d•$105,100 - $189,600

About The Position

This role designs and develops data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It collaborates with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The position also mentors team members to strengthen their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contributions to data architecture innovation. The work enables data-driven decision-making and advances data infrastructure for business insights.

Requirements

Bachelor's degree in Computer Engineering, Computer Science, or a related subject area plus 5 years of related work experience, or an advanced degree plus 3 years of related experience.
4–7 years developing cloud solutions using data series and experience with AWS, Azure, or Google Cloud.
4–7 years of hands-on development using and migrating data to cloud platforms.
4–7 years of experience in SQL, NoSQL, and/or relational database design and development.
4–7 years of advanced knowledge and experience building complex data pipelines with Python; experience with languages such as SQL, DAX, Python, Java, Scala, and/or Go.
At least 18 years of age.
Legally authorized to work in the United States.

Nice To Haves

Cloud platform certification(s), such as AWS Certified Solutions Architect, AWS Certified Cloud Practitioner, or Microsoft Certified Solutions Associate (MCSA).

Responsibilities

Develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
Design and develop data architectures across on-premise, cloud, and hybrid platforms to ensure scalable data infrastructure.
Perform data wrangling, exploration, and discovery of heterogeneous data to generate business insights.
Contribute to team knowledge sharing and advance new data engineering capabilities.
Mentor team members to build and enhance their data engineering skills and professional growth.
Assist management with project definition, including estimating, planning, and scoping work to meet objectives.
Perform other duties and projects as assigned by business management.

Benefits

Competitive base salary and compensation package.
Annual stock grant and employee stock purchase plan.
401(k) and access to free, year-round money coaches.
Annual bonus or periodic sales incentive or bonus, depending on role and eligibility.
Medical, dental, and vision insurance.
Flexible spending account.
Paid time off and up to 12 paid holidays.
Paid parental and family leave.
Family building benefits, backup care, enhanced family support, and childcare subsidy.
Tuition assistance and college coaching.
Short- and long-term disability coverage.
Voluntary AD&D, accident, life, disability, and long-term care coverage.
Mobile service and home internet discounts for eligible employees.
Pet insurance for eligible employees.
Commuter and transit programs for eligible employees.