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.

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.

Benefits

100% employee coverage of medical, dental and vision insurance
$500 annual professional development allowance
Discount on all Peerspace bookings
Laptop, high res display, and stipend to setup home office
Monthly cell phone and internet credit
Coworking membership if needed (in lieu of home office)
Flexible take it as you need it time off policy
Wellness Fridays observed company wide
Annual in-person, all company offsites and team-building events

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

data engineeringdata pipelinesBigQueryDBTdata transformationdata modelingdata integrationevent streamingdata qualitydata architecture

Soft skills

project leadershipmentorshipcollaborationtechnical excellencecontinuous improvementownership mindsetattention to detaileffective communicationcross-functional teamworkproactive problem-solving