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.
Why You’ll Love This Role:
- Work with cutting-edge cloud data technologies in a dynamic, collaborative environment
- Tackle enterprise-scale data challenges, working with billions of rows of data
- Opportunities for career growth and skill development through mentorship and certification programs
- Fully remote work flexibility
About the Role:
We are seeking a Senior Data Engineer with expertise in Snowflake and dbt, with a strong focus on scalability and optimization. The ideal candidate has experience working with massive datasets at the enterprise level and can fine-tune and optimize Snowflake environments to enhance performance, cost efficiency, and best practices.
Responsibilities:
- Design and build scalable data pipelines in Snowflake and dbt, ensuring they can handle billions of rows of data efficiently
- Optimize Snowflake storage, compute performance, and query execution to improve processing speed and cost efficiency
- Lead efforts in migrating and refining legacy data processes in Snowflake using dbt, ensuring optimized transformations and modeling
- Collaborate with business and data teams to understand requirements and translate them into high-performance data solutions
- Implement best practices for Snowflake optimization, including clustering, partitioning, indexing, materialized views, and workload management
- Troubleshoot and resolve bottlenecks in existing Snowflake-based ETL/ELT workflows
- Provide technical leadership and mentorship, ensuring the team follows best practices for scalable data engineering
- Create and maintain technical documentation, including architecture diagrams and optimization guidelines
What You Bring:
- 3+ years of experience in data engineering, with a focus on cloud-based enterprise-scale data solutions
- Proven experience working with massive datasets (billions of rows) in Snowflake
- Hands-on expertise in Snowflake performance tuning, storage optimization, and cost management
- Deep experience with dbt for data transformation, testing, and workflow orchestration
- Strong proficiency in SQL and Python for data manipulation, automation, and optimization
- Ability to identify, diagnose, and optimize inefficient queries and processing workflows
- Experience working both with and without an architect to optimize Snowflake performance
- Strong understanding of data governance, security best practices, and role-based access control in Snowflake
- Excellent problem-solving and communication skills, with the ability to collaborate across teams
Bonus Points for:
- Experience with orchestration tools like Airflow or Prefect
- Exposure to AWS, GCP, or Azure for cloud data integration
- Familiarity with streaming data pipelines (Kafka, Kinesis, etc.)
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 [email protected]
C2C is not available
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Sparq Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Sparq and has not been reviewed or approved by Sparq.
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Leave & Time Off Breadth — PTO with floating holidays and seven U.S. holidays is part of the package, and flexibility around taking time off is highlighted positively. These elements support work–life balance for many roles.
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Retirement Support — A 401(k) program is offered and some postings reference a company match. This provides baseline long‑term savings support even though specific match details are not publicly listed.
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Inclusive Benefits Coverage — Participation in LGBTQ+ inclusion benchmarks and the presence of colleague resource groups signal attention to inclusive policies and benefits. External recognitions further reinforce a focus on equitable workplace practices.
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What We Do
In the age of AI, differentiation isn’t in what you build - it’s in the problems you choose to solve and the outcomes they unlock. That’s why we help leaders cut through the noise, focus on what matters most, and solve it right the first time. By fusing problem-first thinking, deep technical craftsmanship, and fast, flawless delivery, we de-risk transformation and deliver solutions that stick, scale, and prove their worth. With a deep bench of end-to-end technologists, architects, and engineers, no challenge is too complex and no solution is half-built. At Sparq, your mission is our mission. We’re modular by design - meeting you where you are and accelerating you toward where you’re meant to be. We don’t just guide - we climb with you. Embedded alongside your teams, we chart the course, build with precision, and navigate complexity until your outcomes are achieved. Built to solve, not just to build.
