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.

This opportunity will be on-site with our client

C2C is not available

Must be authorized to work in the U.S. without sponsorship

Why you will enjoy Mondays again:

• Opportunity to collaborate with a diverse group of colleagues in a fun, creative environment
• Progressive career journey and opportunity for advancement
• Continuous development through training, mentorship and certification programs
• Exposure to modern technologies across various industries in an agile environment
• Competitive salary + bonus opportunities
• Robust benefits package, matching 401(k) plan, and substantial PTO
• Tuition reimbursement

A Day in the Life:

• Develop and maintain scalable data pipelines to ensure the seamless flow of information across the organization.
• Troubleshoot and resolve issues within the existing ETL infrastructure and data warehousing components to minimize downtime.
• Design and deploy interactive dashboards in AWS QuickSight to provide stakeholders with real-time business insights.
• Proactively identify and automate manual data workflows to improve overall data quality and operational efficiency.
• Implement architectural optimizations to enhance the performance, reliability, and scalability of the current data stack.
• Document data models, pipeline designs, and operational procedures to ensure long-term knowledge sharing and maintenance.
• Collaborate on technical improvements using strong engineering discipline, including Git version control and peer code reviews.

What it takes:

• 3+ years of data engineering experience with a proven track record of building and optimizing scalable data pipelines.
• Advanced proficiency in SQL and Python for complex data modeling, transformation, and process automation.
• Hands-on experience with AWS Cloud Services, particularly QuickSight for visualization and ECS/EKS for containerized architectures.
• Strong software engineering discipline, including experience with testing frameworks and collaborative development in Git.
• Ability to manage and manipulate data within Smartsheet and integrate it into broader analytical workflows.
• Sharp problem-solving skills focused on identifying performance bottlenecks and streamlining data delivery.
• Clear technical communication skills for documenting complex system designs and operational logic.

Salary:

We consider a variety of factors when making compensation decisions. We share this to ensure transparency and set expectations for those

considering opportunities with us.

• The beginning salary range for this role is $90-110K

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 recruiting@teamsparq.com

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