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Senior GCP Data Engineer

Remote, United States remote Entry Salary not listed
remote Technology & IT Curated
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About the role

At Sparq, we help companies solve the right problems—not just build more technology.
We’re a modern product engineering partner blending strategy, craftsmanship, and speed to help organizations modernize confidently in the age of AI. From data ecosystems to digital products and AI acceleration, we turn complexity into clarity and ideas into impact.
If you’re driven to build what’s next, lead with empathy, and deliver excellence without ego, you’ll feel right at home at Sparq.
C2C is not available
Must be authorized to work in the U.S. without sponsorship
Why you will enjoy Mondays again:

Opportunity to work alongside a talented, diverse team in a collaborative and creative environment

Ongoing investment in your growth through training, mentorship, and industry certifications

Hands-on exposure to cutting-edge technologies across multiple industries

Recognition programs and employee awards within an inclusive culture that celebrates great work, including our AI Innovators Program

Remote or hybrid work options

Competitive salary + bonus opportunities

Robust benefits package, matching 401(k) plan, and substantial PTO

Tuition reimbursement

A Day in the Life:

Own data pipelines end to end—from ingestion and transformation through validation and delivery—while bridging modern cloud data architecture with legacy enterprise reporting systems still in active use.

Architect solutions for scale, including designing data models, partitioning and clustering strategies, and query optimization for datasets ranging from multiple terabytes to petabytes.

Apply advanced, hands-on Google Cloud Platform and BigQuery expertise to make architectural decisions related to partitioning, clustering, and cost and slot management.

Build and operate production pipelines from ingestion through final delivery, taking full ownership rather than contributing to only one part of a shared system.

Use advanced SQL to develop complex queries and optimize performance at scale.

Work extensively within legacy enterprise reporting environments using SQL Server, stored procedures, and SSRS. This is an active requirement, not simply a technology associated with a previous role.

Build data monitoring, reconciliation, and automated quality-assurance frameworks to support data validation and integrity.

Manage ETL/ELT processes and data integration at production scale.

Use intermediate-level Python for automation and data processing.

Apply strong database design principles across data solutions.

Work with data visualization tools such as Power BI, Looker, or comparable platforms; Tableau experience is transferable.

Approach work with strong analytical skills and attention to detail while independently managing responsibilities and delivering results.

Actively use AI tools, including Claude through our Anthropic partnership, to streamline tasks, improve the quality of your work, and share best practices with teammates while continuously identifying new ways to integrate AI into everyday workflows.

What it takes:

Consultative approach and problem solving skills to successfully align digital solutions with long-term business goals of the client

Hands-on experience using AI tools to enhance daily work, or a strong desire to do so, including a willingness to experiment, learn, and champion AI adoption within your role

Claude Certified Developer or Architect highly preferred; possible opportunity to obtain as a Sparq colleague

Commitment to understanding and exceeding client expectations

Ability to perform project oversight and execution of deliverables

Flexibility to adapt within a high-growth organization

Ability to lead, mentor and motivate those around them

Hunger for continuous learning and professional development

Intellectual curiosity to provide creative solutions

Full understanding of the software development life cycle

Ability to positively impact fellow colleagues through effective leadership, presentations, coaching, etc.

Desire to work in a team environment

Good interpersonal, written and verbal communication skills

Regardless of your specific role, we seek individuals who are excited to explore, adopt, and evangelize AI tools and methodologies. If you have experience in AI or a proven track record of rapidly learning and mentoring others on emerging tech, you’ll fit right in.
Equal Employment Opportunity Policy: Sparq is proud to offer equal employment opportunity without regard to age, color, disability, gender, gender identity, genetic information, marital status, military status, national origin, race, religion, sexual orientation, veteran status, or any other legally protected characteristic.
We are committed to providing equal employment opportunities and believe in an inclusive workplace. If you require reasonable accommodations to participate in the job application or interview process, please let us know by contacting
Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use this as a quick practice sheet before you speak with the employer.

Role
Technology & IT API integration Data Analysis MySQL Python Remote Collaboration remote

Likely questions

  1. Tell us about work you have done that is close to the Senior GCP Data Engineer role.
  2. How would you approach your first 30 days at name?
  3. Which of API integration, Data Analysis and MySQL have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you stay organised and communicate clearly when working remotely?

Prepare before the call

  • A recent example that proves your experience with API integration, Data Analysis and MySQL.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Senior GCP Data Engineer role because I can bring practical experience in API integration, Data Analysis and MySQL, learn the team quickly, and contribute to the outcomes name needs from this hire.

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