Quantix, Inc. · 1 month ago
Senior to Expert-level Data Engineer
United States
Full-time
Remote
Senior Level, Lead/Staff
8+ years expQuantix, Inc. is seeking a senior to expert-level Data Engineer who will play a key role in accelerating innovation by delivering robust data solutions. The role involves designing and implementing a scalable GCP-native data strategy that supports machine learning initiatives and enables decentralized data infrastructure.
ConsultingInformation TechnologyStaffing Agency
Responsibilities
Designing and implementing a scalable GCP-native data strategy
Crafting reusable, high-fidelity data products
Building infrastructure that allows for rapid iteration, continual improvement, and measurable outcomes
Qualification
Required
8+ years of professional experience in data engineering or a related field, with demonstrated expertise in building and deploying scalable data solutions
Strong skills in critical thinking, decision making, problem-solving, and attention to detail
Technically skilled, and able to understand technology tradeoffs that your squad will face
Proficient at resolving ambiguity. When there is uncertainty, you can work with squad colleagues to define the path forward
Able to work independently, operating without significant input or guidance
Expert-level proficiency in Python and SQL for scalable data transformation and strategic analysis within the squad's domain
Expertise in designing, building, and operating data products, not just pipelines, that deliver compounding value and adhere to domain-driven data principles
Architect and govern the data storage strategy within the squad, strategically utilizing transactional systems (e.g., AlloyDB), Operational Data Stores (ODS), and analytical data warehouses, with a primary focus on BigQuery
Mastery of Google BigQuery for strategic data product development and high-volume analytical processing, coupled with deep hands-on experience integrating with transactional databases such as AlloyDB (PostgreSQL) and Cloud SQL (PostgreSQL)
Experience modernizing legacy data assets and optimizing high-performance SQL/procedural logic, including exposure to proprietary SQL dialects (e.g., TSQL, PL/pgSQL), demonstrating an ability to decouple logic from operational databases to BigQuery/Dataform
Extensive experience architecting ingestion strategies using native services like Pub/Sub and Datastream (CDC) for high-throughput data delivery
Mandatory deep expertise in the strategic native GCP stack: GCP Data Ecosystem: including Dataform for transformations, Cloud Composer (Airflow) for orchestration, and Cloud Dataflow (Apache Beam) for processing
Experience applying Dataplex features for data governance, quality, and discovery across the domain's data products
Proven success collaborating across engineering, product, and science teams to deliver squad-owned data products in a fast-paced, iterative environment
Highly motivated and organized, demonstrating an advanced ability to influence technical direction and build effective partnerships across internal and external stakeholders
Company
Quantix, Inc.
*We at Quantix prioritize your privacy.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2025-05-08Acquired
Leadership Team
Michael Haase
Co-Owner | CEO
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