Sr. Data Engineer at Bandwidth

Raleigh, North Carolina, United States

Apply Now

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

Key technologies and capabilities for this role

SnowflakePythonAWSETLELTAWS DMSRDSS3KafkaData PipelinesData MeshDevOps

Questions & Answers

Common questions about this position

What are the key skills required for the Sr. Data Engineer role?

The role requires a strong understanding of data architecture in Snowflake, proficiency in Python, AWS services, and dev-ops practices. Additional expertise includes Snowflake SQL, ETL/ELT pipelines, and tools like AWS DMS, RDS, S3, Kafka, and Prefect.

What does the company culture at Bandwidth look like?

Bandwidth celebrates differences and encourages BANDmates to be their authentic selves, with a fun vibe encapsulated in 'your music matters when you are part of the BAND' and '#jointheband'.

Is this Sr. Data Engineer position remote?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

What makes a strong candidate for this Sr. Data Engineer position?

Strong candidates will have expertise in designing scalable data platforms with Snowflake, building ETL/ELT pipelines using Python and AWS services, and experience with data governance, automation, CI/CD, and collaborating with cross-functional teams.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free