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Senior Data Engineer

Data EngineerData EngineerFull TimeRemoteTeam 51-200Since 2013H1B SponsorCompany Site LinkedIn

Location

United States

Posted

66 days ago

Salary

$160K - $175K / year

Bachelor Degree5 yrs expEnglishBig QueryCloud

Job Description

• Data Warehousing: Owning and evolving our data pipelines into BigQuery, leading efforts to improve performance, scalability, and cost-efficiency. • Data Transformation: Architecting and implementing advanced data models using DBT, establishing best practices for testing, documentation, and code quality. • Integration: Leading the design and implementation of integrations with Segment and other third-party sources, ensuring data consistency and reliability across the platform. • Project Leadership: Taking ownership of complex data projects, from gathering requirements with BI, Marketing, and Data Science teams to delivering robust, production-ready solutions. • Mentorship: Guiding and mentoring other data engineers, leading code reviews, and fostering a culture of technical excellence and continuous improvement.

Job Requirements

Experience: 5-8 years in data engineering, with a proven track record of designing, building, and owning production data pipelines.
Technical Skills:
○ Deep expertise with cloud-based data warehousing, particularly designing and optimizing schemas in BigQuery.
○ Advanced proficiency with DBT for creating sophisticated, scalable, and maintainable data transformation models.
○ Significant experience with tools like Segment for architecting data collection and event streaming strategies.
○ Proven ability to integrate and model numerous third-party data sources to build a comprehensive and authoritative data ecosystem.
Architectural Mindset: Strong ability to design scalable, resilient data systems and make informed technical trade-offs. You have an eye for detail and a passion for data integrity.
Collaboration & Mentorship: A history of effective collaboration with cross-functional teams and experience mentoring junior engineers on technical concepts and best practices.
Impact: A track record of delivering high-impact data projects from conception to completion, driving measurable improvements in data quality, availability, and utility. You are a domain expert in multiple business areas.
Ownership Mindset: A proactive approach to identifying opportunities for improvement, leading technical initiatives, and staying at the forefront of data engineering technologies.