Remote Data Engineer — BigQuery & Cloud Analytics

Applied Systems; United States; On-site; USD 70,000 - 120,000; Full time

Job summary

Applied Systems is seeking a Data Engineer - GCP, BigQuery to join our AI Engineering – Reporting and Analytics team. You will build and optimize data solutions for the business of insurance, collaborating with data scientists and software engineers to scale data models.

Responsibilities include developing BigQuery procedures, enhancing data lakes, ensuring data quality, and driving high-performance analytics across global teams.

Qualifications

• 3+ years of experience in modeling, building, and maintaining data solutions in cloud-based environments.
• Proficiency in SQL and Python to manipulate, store, manage, or retrieve data assets.
• Proven impact with BigQuery and cloud-based data warehousing solutions.
• Experience managing and optimizing BigQuery and Google Cloud Platform data services.

Responsibilities

• Code BigQuery procedures, functions, and other database objects using BigQuery SQL and ANSI SQL.
• Implement scalable data models within our data lake with a focus on BigQuery.
• Manage and optimize data storage, partitioning, and clustering for performance and reliability.
• Develop features and enhancements in BigQuery and cloud-based data warehousing technologies.
• Collaborate with cross-functional teams to deliver solutions aligned with business objectives and data governance.

Skills

SQL

Python

BigQuery

Agile/Scrum

Data modeling

Education

Bachelor-level degree in Computer Science, MIS, or CIS

Tools

Jira

Confluence

Google Cloud Platform (GCP)

Job description

Applied Systems is seeking a Data Engineer - GCP, BigQuery to join our AI Engineering – Reporting and Analytics team. You will build and optimize data solutions for the business of insurance, collaborating with data scientists and software engineers to scale data models.

Responsibilities include developing BigQuery procedures, enhancing data lakes, ensuring data quality, and driving high-performance analytics across global teams.