Senior Data Engineer, Big Data

T-Mobile • Philadelphia, PA

2d

About The Position

This role is essential for designing and developing data architectures across on-premise, cloud, and hybrid platforms to support organizational data needs. It primarily involves collaborating with data engineers to analyze, architect, design, and develop data warehouse and business analytics solutions. The role includes mentoring team members to enhance their data engineering skills and capabilities. Success is measured by the effectiveness of data engineering solutions, team skill development, and contribution to data architecture innovation. The work impacts the organization by enabling data-driven decision-making and advancing data infrastructure capabilities for business insights.

Requirements

• Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
• Acceptable areas of study include Computer Engineering, Computer Science, a related subject area (Required)
• 4-7 years Developing cloud solutions using data series; experience with cloud platforms (Amazon Web Services, Azure, or Google Cloud) (Required)
• 4-7 years Hands-on development using and migrating data to cloud platforms (Required)
• 4-7 years Experience in SQL, NoSQL, and/or relational database design and development (Required)
• 4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)
• At least 18 years of age
• Legally authorized to work in the United States

Nice To Haves

• Cloud platform certification(s) i.e. AWS Certified Solutions Architect, AWS Certified Cloud Practitioner or Microsoft Certified Solutions Associate (MCSA) (Preferred)

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 new business insights
• Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities
• Mentor team members to build and enhance their data engineering skillsets and professional growth
• Assist management in project definition, including estimating, planning, and scoping work to meet objectives
• Also responsible for other duties/projects as assigned by business management as needed

Benefits

• Competitive base salary and compensation package
• Annual stock grant
• Employee stock purchase plan
• 401(k)
• Access to free, year-round money coaches
• Medical insurance
• Dental insurance
• Vision insurance
• Flexible spending account
• Paid time off
• Up to 12 paid holidays
• Paid parental and family leave
• Family building benefits
• Back-up care
• Enhanced family support
• Childcare subsidy
• Tuition assistance
• College coaching
• Short-term disability
• Long-term disability
• Voluntary AD&D coverage
• Voluntary accident coverage
• Voluntary life insurance
• Voluntary disability insurance
• Voluntary long-term care insurance
• Mobile service & home internet discounts
• Pet insurance
• Access to commuter and transit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior