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Quantix, Inc. · 1 month ago

Senior to Expert-level Data Engineer

United States

Full-time

Remote

Senior Level, Lead/Staff

$180K/yr - $220K/yr

8+ years exp

Quantix, Inc. is seeking a Senior to Expert-level Data Engineer to accelerate innovation through robust data solutions. This role involves designing and implementing a scalable GCP-native data strategy to support machine learning initiatives and decentralized data infrastructure.

ConsultingInformation TechnologyStaffing Agency

Senior Management

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

GCP-native data strategyPythonSQLGoogle BigQueryData governanceData ingestion strategiesCloud ComposerCloud DataflowCritical thinkingProblem-solvingAttention to detailCollaborationOrganizational skills

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