Data Engineering Manager at Boingo

Frisco, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

8+ years of experience in data engineering, with at least 3+ years in a management or team leadership role
Proven expertise in Google Cloud Platform (GCP): BigQuery, Vertex AI, Dataflow, Cloud Functions, and Cloud Storage
Strong programming skills in Go and Python, with experience building scalable backend and data systems
Deep understanding of ETL/ELT architecture, data movement strategies, and large-scale data platform design
Experience with Generative AI tools and frameworks (Vertex AI, Gemini)
Strong SQL skills and data modeling expertise for enterprise-scale data platforms
Experience with Looker (LookML modeling, dashboard design, governance)
Excellent leadership, communication, and stakeholder management skills
Preferred Qualifications
Experience with containerized deployment (Docker, Kubernetes) and orchestration tools (Cloud Composer, Airflow)
Proven ability to operate in agile, fast-paced environments while managing multiple priorities
Experience managing budgets, vendor relationships, and cloud cost optimization

Responsibilities

Lead and manage the data engineering team, setting priorities, allocating resources, and ensuring successful delivery of strategic initiatives
Define and execute the company’s ETL and ELT strategy, optimizing data movement, transformation, and orchestration for efficiency, scalability, and cost-effectiveness
Architect and oversee the development of robust data pipelines using BigQuery, Dataflow, Pub/Sub, and other GCP-native services
Drive the development of foundational infrastructure to support GenAI use cases (Microsoft Copilot/GCP Vertex AI) and emerging AI-driven capabilities
Partner with product, marketing, customer care, and other cross-functional teams to translate business needs into data- and AI-powered solutions
Ensure Looker models, dashboards, and governance processes enable self-service analytics across the enterprise
Champion engineering best practices including CI/CD, automated testing, and high-quality coding standards in Go and Python
Mentor, coach, and develop team members, building technical depth and leadership skills across the team
Ensure security, reliability, and performance across all data platforms and services
Serve as a thought leader and change agent, driving innovation and positioning the organization at the forefront of modern data engineering and AI

Skills

Key technologies and capabilities for this role

GCPBigQueryDataflowPub/SubLookerETLELTGenAIVertex AIMicrosoft CopilotGoPythonCI/CD

Questions & Answers

Common questions about this position

What experience is required for the Data Engineering Manager role?

Candidates need 8+ years of experience in data engineering, with at least 3+ years in a management or team leadership role, plus proven expertise in GCP services like BigQuery, Vertex AI, Dataflow, and Cloud Storage.

What programming skills are needed for this position?

Strong programming skills in Go and Python are required, along with strong SQL skills and data modeling expertise for enterprise-scale data platforms.

What is the salary for the Data Engineering Manager position?

This information is not specified in the job description.

Is this Data Engineering Manager role remote?

This information is not specified in the job description.

What benefits are offered for this role?

This information is not specified in the job description.

Boingo

Provides high-speed Wi-Fi and cellular services

About Boingo

Boingo provides high-speed Wi-Fi and cellular services to a variety of clients, including airports, stadiums, military bases, and multifamily communities. Their services include designing, installing, and maintaining advanced wireless networks that are ready for 5G technology. Boingo's offerings range from Distributed Antenna Systems (DAS) to Wi-Fi solutions, ensuring seamless connectivity for users. What sets Boingo apart from competitors is their comprehensive approach, which includes not only network installation but also ongoing monitoring and customer support. They generate revenue through various channels, such as advertising solutions, mobile carrier traffic management, and connectivity services for residential communities. Boingo's goal is to enhance user experience and operational efficiency by providing reliable and advanced wireless connectivity in high-traffic public venues.

Los Angeles, CaliforniaHeadquarters

2001Year Founded

$87.5MTotal Funding

IPOCompany Stage

Data & Analytics, Consumer SoftwareIndustries

201-500Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Unlimited Paid Time Off

Phone/Internet Stipend

Gym Membership

Tuition Reimbursement

Parental Leave

Risks

Emerging 5G providers like Verizon threaten Boingo's market share.

Technological advancements require continuous infrastructure upgrades, straining Boingo's finances.

Remote work trends may reduce demand for Boingo's services in physical venues.

Differentiation

Boingo offers end-to-end wireless solutions, from design to customer care.

Boingo's networks are 5G ready, ensuring clients meet growing connectivity demands.

Boingo is a trusted partner for the U.S. military, providing secure connectivity at bases.

Upsides

Increased demand for private 5G networks creates new opportunities for Boingo.

Smart city initiatives drive the need for advanced connectivity solutions, benefiting Boingo.

Hybrid work models increase demand for reliable Wi-Fi in residential areas, expanding Boingo's market.

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