Data Engineer

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