Senior Data Engineer, Spark/GCP

T-Mobile; New York (NY); On-site; USD 105,000 - 190,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) match and stock programs

Paid time off and holidays

Job summary

T-Mobile Advertising Solutions (T-Ads) is hiring a Senior Data Engineer in New York. You will design and implement data pipelines, ETL processes, and analytics tools using Python, Spark, and Scala, in a cloud-first environment (GCP).

Collaborate with engineers, data scientists, and product managers to deliver scalable data solutions with a strong emphasis on privacy and reliability. You’ll work on streaming data, databases, and distributed processing, while contributing to advanced data

Qualifications

• 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 Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)
• 4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)
• 4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)

Responsibilities

• Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
• Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.
• Write robust, efficient, and highly maintainable code in Python, Spark and Scala.
• Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
• Assist technical, product, and operational leaders 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

Skills

Python

Spark

Scala

SQL

BigQuery

Airflow

Kafka

GIS/Geospatial data

Education

Bachelor's Degree + 5 years experience or Advanced degree with 3 years related experience

Computer Engineering / Computer Science

4-7 years streaming data and distributed processing

4-7 years Python/SQL/Spark

4-7 years Cloud services (GCP) with Airflow/Kafka

Tools

Python

Spark

SQL

Google BigQuery

Airflow

Kafka

Job description

Job Overview

At T-Mobile Advertising Solutions (T-Ads), we’re building privacy-first advertising and data products powered by advanced machine learning, large-scale data processing, and cloud technologies. Our proprietary algorithms enable rich consumer insights, intelligent audience solutions, and measurable performance for advertisers while maintaining a strong commitment to consumer privacy.

We are adding a creative and motivated Senior Data Engineer to join our team, where you’ll use modern technologies in big data, cloud, and metadata. As a tech-first product company, the work you do will have a direct impact on our customers and the business. You’ll work closely with other engineers, data scientists, and product managers, gaining a holistic understanding of how our systems come together.

We adhere to structured design principles inspired by Lean Development, and we encourage continuous learning and growth. As part of our team, you’ll enjoy mentoring, brainstorming, and pairing up to tackle ambitious challenges. Our supportive culture fosters a collaborative atmosphere where everyone can thrive.

Job Responsibilities

• Design and develop data engineering solutions that enable data pipelines, visualization, and analytical tools to support business requirements.
• Innovate, implement, support, and iterate on scalable big data pipelines and ETL processes.
• Write robust, efficient, and highly maintainable code in Python, Spark and Scala.
• Contribute to team knowledge sharing and drive the advancement of new data engineering capabilities.
• Assist technical, product, and operational leaders 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

Education and Work Experience

• 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 Hands-on implementation and architectural familiarity with streaming data, relational and non-relational databases, and distributed processing technologies. (Required)
• 4-7 years Designing and developing advanced data engineering tasks in Python, SQL, Spark, and related Python libraries (e.g., pandas, scikit-learn, scipy, numpy). (Required)
• 4-7 years Advanced knowledge in building complex data pipelines and cloud bases services (GCP) to support robust and scalable infrastructure (Airflow, Kafka). (Required)

Knowledge, Skills and Abilities

• Strong background in software engineering, large-scale data and algorithms, cloud architecture, and design thinking. (Required)
• Experience with production-level engineering around GIS and geospatial data processing. (Preferred)
• Familiarity with DevOps practices and tools for DataOps.
• Ability to work quickly and precisely, capturing requirements and designing before implementation.
• Knowledge of Google BigQuery and tools for solving data-centric problems and working with graph datasets and databases. (Required)

• At least 18 years of age
• Legally authorized to work in the United States

Travel

Travel Required (Yes/No): No

DOT Regulated

DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No

Base Pay Range: $105,100 - $189,600Corporate Bonus Target: 15%

The pay range above is the general base pay range for a successful candidate in the role. The successful candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.

To find the pay range for this role based on hiring location, click here.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com.

Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable!

T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [e-mail] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.