Senior Data Engineer (Databricks)

At Sparq, we don’t just process data; we engineer the foundations of tomorrow’s intelligent solutions. As a Senior Data Engineer specializing in Databricks, you will step into a collaborative, high-energy environment where your technical expertise directly impacts real-world challenges across diverse industries. We believe in fueling your ambition through continuous mentorship, ongoing professional certifications, and a culture that prioritizes your growth as much as our project success. If you are passionate about building scalable, cloud-native data architectures and want to be part of a team that celebrates innovation—including our internal AI Innova initiatives—you have found your new home.

This role is designed for a forward-thinking engineer who is ready to take ownership of complex pipelines and data workflows. You will work alongside a talented, diverse group of technologists who value creative problem-solving and open communication. Because we are committed to excellence, we offer an inclusive space where your unique perspective is heard, your achievements are recognized, and your career trajectory is supported by industry-leading resources. Please note that this position requires authorization to work in the U.S. without sponsorship, and we are looking for candidates who are eager to make an immediate, positive impact on our evolving tech stack.

Requirements

• Proficiency in at least one modern programming language (Python, JS, Java, etc.).
• Understanding of software development life cycles and version control (Git).
• Strong problem-solving skills and attention to technical detail.
• Familiarity with cloud platforms (AWS, Azure, or Google Cloud) is a plus.
• Ability to work in an agile, fast-paced environment.
• Degree in Computer Science or equivalent practical experience.