Key Facts

Remote From:

Anywhere

Full time

English

Hard Skills

Other Skills

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Decision Making
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Dealing With Ambiguity
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Critical Thinking
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Detail Oriented
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Self-Motivation
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Problem Solving

Quantix, Inc.

About Quantix, Inc.

Quantix is an IT workforce management services provider that prioritizes people and purpose for growth. Pioneering the road map for changing the culture in the IT services industry. Quantix believes in unleashing the power of human potential, embracing diversity, and helping people and organizations thrive in reshaping our economy and the world. Quantix is on a mission to set a new standard for business to create a more inclusive reality for individuals and teams by supporting organizations that create the type of workplace where people feel motivated to contribute in a way that fuels bottom-line growth. Since 2002 we've been providing contract, contract-to-hire and direct hire services to a wide range of clients. We provide individual consultants, project management, project teams and executive management placements.

Founded: 2018

Company size: 51 - 200

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Job description

Title: Senior to Expert-level Data Engineer
Location: 100% Remote
Tiem Zone: CST
Hours: Approximately 50 hours/week
Type: Direct hire
Salary range: 180 – 220K

Job Description: We are looking for a senior to expert-level Data Engineer who will play a key role in accelerating innovation by delivering robust data solutions. You will be responsible for designing and implementing a scalable GCP-native data strategy that underpins our machine learning initiatives and enables decentralized, squad-owned data infrastructure. Working closely with industry-leading engineers and scientists, you will help achieve large-scale behavior change through intelligent, data-powered systems. Your work will involve crafting reusable, high-fidelity data products and building infrastructure that allows for rapid iteration, continual improvement, and measurable outcomes.

Requirements:

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