Sr. Data Engineer at Bandwidth

Raleigh, North Carolina, United States

Bandwidth Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, CommunicationsIndustries

Requirements

  • Bachelor's degree (within an engineering or computer science discipline strongly preferred) or equivalent work experience
  • 8+ years of experience working in software architecture in the data engineering domain
  • Demonstrated track record of operating in highly collaborative, flexible, and productive cross-organization teams
  • Proven ability to perform in high-visibility, high-growth environments
  • Action and results-oriented, able to communicate strategies and tactics, identify obstacles
  • Experience in providing effective leadership to developers/engineers through the creation of Agile backlog assets and ongoing day-to-day guidance
  • Strong understanding of data architecture in Snowflake
  • Proficiency in Python, AWS services, and dev-ops practices

Responsibilities

  • Develop and Maintain Scalable Data Platforms: Lead the design and development of scalable, secure, and efficient data platforms using Snowflake and other cloud technologies, ensuring alignment with the organization’s data mesh and platform enablement goals
  • Build and Optimize Data Pipelines: Architect, build, and optimize ETL/ELT data pipelines to support various business units, balancing batch and streaming solutions. Leverage tools like AWS DMS, RDS, S3, and Kafka to ensure smooth data flows
  • Data Enablement & Ops: Collaborate with cross-functional teams (data engineers, data scientists, analysts, and architects) to create data-as-a-product offerings, ensuring self-service enablement, observability, and data quality
  • Automation & CI/CD: Develop, manage, and continuously improve automated data pipelines using Python (Prefect) and cloud-native services (AWS). Ensure CI/CD pipelines are set up for efficient deployment and monitoring
  • Snowflake Expertise: Apply deep knowledge of Snowflake SQL to build efficient and performant data models, optimizing storage and query performance
  • Cloud Data Integration: Use AWS services and data integration tools (DMS, Prefect) to ingest and manage diverse data sets across the organization
  • Data Governance & Compliance: Work closely with solution architects to implement data governance frameworks, ensuring adherence to enterprise data standards and regulatory compliance
  • Stakeholder Collaboration: Partner with product owners, business stakeholders, and data teams to translate business requirements into scalable data solutions, aligning roadmaps with organizational objectives
  • Agile Practices & Leadership: Participate in Agile ceremonies, mentor junior engineers, and help drive a culture of continuous improvement across the data engineering team
  • Metrics and Observability: Implement monitoring and metrics for data pipeline health, performance, and data quality, driving insights to improve product decision-making

Skills

Snowflake
Python
AWS
ETL
ELT
AWS DMS
RDS
S3
Kafka
Data Pipelines
Data Mesh
DevOps

Bandwidth

Cloud-based voice and messaging services

About Bandwidth

Bandwidth provides voice, messaging, and emergency services through cloud-based solutions tailored for businesses, including enterprises, service providers, and application developers. Their services allow clients to integrate reliable communication capabilities into their applications and systems. Bandwidth's offerings include voice calling, text messaging, and emergency calling, all designed to ensure high reliability and scalability, which are essential for uninterrupted communication. The company generates revenue through subscription models, where clients pay a recurring fee, and usage-based models, where charges are based on the volume of calls or messages. Regular maintenance and updates are conducted to enhance service performance and reliability. Bandwidth's goal is to deliver dependable communication solutions that meet the evolving needs of businesses in a competitive telecommunications market.

Raleigh, North CarolinaHeadquarters
2005Year Founded
$19.9MTotal Funding
IPOCompany Stage
Enterprise SoftwareIndustries
1,001-5,000Employees

Benefits

100% Medical & Dental Coverage
401(k) & College Savings Plan
PTO with Email Embargo
Free Gym Membership
90 Minute Workout Lunches
Employee Development Opportunities

Risks

Emerging CPaaS providers offering lower-cost services threaten Bandwidth's market share.
Rapid AI advancements may outpace Bandwidth's current capabilities, risking competitive edge loss.
Potential regulatory changes in data privacy laws could increase Bandwidth's compliance costs.

Differentiation

Bandwidth offers a unique owner-operated network with global reach and regulatory expertise.
The company integrates AI-ready capabilities into its cloud communications platform, Maestro.
Bandwidth's focus on secure and compliant communication solutions sets it apart in the market.

Upsides

Growing demand for CPaaS solutions boosts Bandwidth's market potential and revenue growth.
AI-driven communication tools enhance customer experience and operational efficiency for Bandwidth.
5G network expansion globally enhances the quality and speed of Bandwidth's services.

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