Software Engineer

We are seeking a skilled ELT Developer with expertise in Google Cloud Platform (GCP) services, including BigQuery, Snowflake, Python, and Firestore. The ideal candidate will design and implement efficient ELT pipelines to support data integration, analytics, and operational workloads. This role involves collaborating with cross-functional teams to ensure seamless data processing and transformation. 

Here’s what success will look like:

ELT Pipeline Development: 

• Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Snowflake, Dataflow, and Firestore. 

• Optimize data pipelines for performance, scalability, and reliability. 

Data Transformation & Integration: 

• Transform raw data into structured formats suitable for analytics and reporting. 

• Integrate data from multiple sources into centralized repositories or operational systems. 

Collaboration & Documentation: 

• Work closely with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. 

• Document ELT processes, workflows, and best practices. 

Monitoring & Troubleshooting: 

• Monitor ELT jobs to ensure timely data availability. 

• Debug and resolve issues in data pipelines to maintain data integrity. 

To thrive in this role, we’re looking for:

• Bachelor's degree in Computer Science, Information Technology, or a related field. Or equivalent experience. 
• 3+ years of experience in ELT/ETL development on cloud platforms. 
• Proven expertise in GCP services like BigQuery, Snowflake, Firestore, Dataflow, and Pub/Sub. 
• Strong proficiency in Python for scripting and automation. 
• Solid understanding of data warehousing concepts and data modeling. 
• Experience with SQL for querying and transforming data. 
• Familiarity with NoSQL databases like Firestore. 
• Knowledge of Apache Beam for building scalable data processing pipelines. 
• Strong problem-solving abilities. 
• Excellent communication skills for collaboration across teams. 

Preferred Qualifications 

• Experience with GCP Cloud Scheduler or other orchestration tools. 

• Google Professional Data Engineer certification or equivalent. 

• Familiarity with CI/CD pipelines for deploying ELT workflows. 

Physical Requirements:

• Prolonged periods of sitting at a desk and working on a computer.

Work Authorization Requirement: Please note that WideOrbit is unable to provide visa sponsorship. Applicants must be currently authorized to work in the United States on a full-time basis. We cannot sponsor or take over sponsorship of employment visas now or in the future.

Location: This position can be based in any of our offices. Remote/Telecommute will also be considered.

Pay Range: $105,000 - $130,000 + Variable Bonus

Compensation:

The compensation range listed, and a general description of other compensation and benefits will apply to this position.  Various factors are considered to determine compensation ranges including market data, location, experience, qualifications, and skills. WideOrbit reserves the right to pay more or less than the salary and benefit information posted.

Benefits & Perks:

Besides a great work environment with smart and friendly coworkers, direct access to leadership and knowledge about how your work impacts company success, here are some of our benefits and perks:

A competitive salary, health insurance, sabbatical leaves, great vacation package, work/life balance, life event benefits, casual work attire, 401(k) match, and plenty of opportunities to grow!

Equal Opportunity Employer:

We are committed to treating all applicants fairly, WideOrbit is an equal opportunity employer that prohibits unlawful discrimination based on race, color, religion, sex, national origin, age, physical or mental disability, medical condition, sexual orientation, marital status, military or veteran status, gender identity and expression, genetic information, or any other factor protected by law. Additionally, we consider qualified applicants whose histories are impacted by our justice system, consistent with applicable federal, state, and local law.