The Team
We are seeking a Senior Data Engineer to join American Tower’s IT organization’s Data & Analytics team. The team focuses on building, maintaining, and optimizing cloud-native data pipelines and datasets that enable analytics, reporting, and artificial intelligence at scale. Day to day you will collaborate with Data Products, Analytics, and Business teams across Global Operations, Finance, and Sales to deliver reliable and scalable data solutions within the enterprise data platform and engineering standards defined by platform leadership. As a Senior Data Engineer, you will contribute to advancing automation, platform maturity, and intelligent data operations.
ResponsibilitiesWhat You Can Offer Us
- Build and maintain scalable, production-grade data pipelines across ingestion, transformation, storage, and serving layers in a cloud environment.
- Design and implement reusable data components and frameworks that improve reliability, consistency, and developer productivity.
- Apply data modeling techniques, including dimensional and domain-oriented modeling, to support analytics, reporting, and operational use cases.
- Implement data quality checks, validation rules, and monitoring to ensure trustworthy and reliable data assets.
- Follow established engineering standards including coding practices, testing, version control, documentation, and continuous integration and continuous delivery.
- Optimize pipeline performance and cost through efficient query design, partitioning, and resource utilization.
- Troubleshoot production data issues, perform root cause analysis, and support incident response and resolution.
- Collaborate with Data Products, Analytics, and Business teams to translate requirements into scalable data solutions.
- Other duties as assigned.
What You Need to Succeed
- Bachelor’s degree required, with a concentration in Computer Science or a related quantitative field preferred.
- Master’s degree in Computer Science and/or a related quantitative field preferred.
- Between 4–7 years of data engineering or data platform experience required.
- Strong proficiency in Structured Query Language and Python, with hands-on experience in Spark or PySpark for large-scale data processing.
- Experience working with cloud platforms such as Azure and modern data platforms such as Databricks and/or Snowflake.
- Hands-on experience building, deploying, and maintaining pipelines in production environments.
- Experience with streaming or near real-time data processing, such as Kafka and/or event-driven architectures.
- Experience building reusable frameworks, metadata-driven pipelines, and/or shared platform components.
- Exposure to data governance concepts such as lineage, metadata, access control, and compliance.
- Exposure to automation and intelligent data workflows, including early experience with agent-based and/or control-plane patterns.
- Familiarity with orchestration tools such as Airflow or Azure Data Factory.
- Fluency in English required; multilingual capabilities preferred.
- Strong written and oral communication skills, including the ability to present ideas and suggestions clearly and effectively.
- Ability to work with different functional groups and levels of employees to effectively and professionally achieve results.
- Strong organizational skills; ability to accomplish multiple tasks within the established timeframes through effective prioritization of duties and functions in a fast-paced environment.
We are one of the largest global Real Estate Investment Trusts (REITs) and a publicly traded (NYSE:AMT), Fortune 500 Company headquartered in Boston, Massachusetts. The next decade will be an exciting time as we evolve our infrastructure to meet tomorrow’s needs and position our people to elevate their impact, their potential, and our shared success. Come grow your career with us!
For more information about how American Tower is building a more connected world, visit americantower.com
American Tower is proud to be an equal opportunity employer and will not discriminate against an applicant or employee based on age, sex, sexual orientation, gender identity, race, color, creed, religion, national origin or ancestry, citizenship, marital status, familial status, disability, military or veteran status, genetic information, pregnancy, reproductive decisions, or any other characteristic protected under applicable law.
American Tower is committed to fair and equitable compensation practices. Placement within the salary range is based on a variety of factors, including relevant experience, skills, certifications, job level, and location. For U.S.-based candidates only, please see the base salary range for this position listed below. This position is also eligible for annual bonus, and annual equity award and participation in the Employee Stock Purchase Plan (ESPP). For candidates outside of the U.S., salary and benefits are based upon local market practice.
American Tower also offers a comprehensive benefits package, which includes healthcare coverage, a 401(k) savings plan, paid time off, company holidays, sick leave, parental leave, and access to an Employee Assistance Program focused on mental and financial wellness, please click here to learn more.
Skills Required
- Bachelor's degree required, preferably in Computer Science or a related quantitative field
- Master's degree in Computer Science or a related quantitative field
- 4–7 years of data engineering or data platform experience
- Strong proficiency in SQL and Python
- Hands-on experience with Spark or PySpark for large-scale data processing
- Experience with cloud platforms such as Azure and modern data platforms such as Databricks or Snowflake
- Experience building, deploying, and maintaining production pipelines
- Experience with streaming or near-real-time data processing, such as Kafka or event-driven architectures
- Experience building reusable frameworks, metadata-driven pipelines, or shared platform components
- Exposure to data governance concepts including lineage, metadata, access control, and compliance
- Exposure to automation and intelligent data workflows, including agent-based or control-plane patterns
- Familiarity with orchestration tools such as Airflow or Azure Data Factory
- Fluency in English
- Multilingual capabilities
- Strong written and oral communication skills
- Ability to collaborate effectively with different functional groups and employee levels
- Strong organizational skills and ability to prioritize multiple tasks in a fast-paced environment
What We Do
With the rollout of new wireless technologies like 5G, the explosive growth in the Internet of Things (IoT), and the continued proliferation of smartphones worldwide, there’s never been a more exciting time to work in wireless. American Tower is a Fortune 500, S&P 500 and Forbes Global 2000 company that provides the infrastructure for modern digital communications. Starting in 1995 with 2,700 towers, our global portfolio today includes over 220,000 owned or managed sites around the globe. Headquartered in Boston, Massachusetts, we have operations throughout the Americas, Europe, Africa and Asia. We’ve experienced exceptional growth over the past decade, and we believe that our outlook for the future is just as strong. If you like to be where things are happening, this is the place for you.
