Platform Services Engineer, Databricks 2026 - US
About The Position
Aimpoint Digital is a premier analytics consulting firm with a mission to drive business value for clients through expertise in analytics, decision science, data engineering and infrastructure. Aimpoint Digital is a fast-growing and fully remote data and analytics consultancy. We partner with the most innovative software providers in the data engineering space to solve our clients' toughest business problems. Our approach to data engineering blends modern tools and techniques with a respect for the foundations of our craft. What you will do As a Platform Services Engineer at Aimpoint Digital, you'll play a critical role at the intersection of client delivery and internal enablement. In this dual-capacity position, you will contribute directly to client-facing projects while also owning the development and refinement of internal tools, automations, and delivery frameworks that empower our teams to operate with greater speed, consistency, and quality. This role is ideal for the engineer who thrives on creating impact across both client outcomes and internal systems.
Requirements
- 3-5 years of experience in data engineering, platform engineering, DevOps, or a similar technical discipline
- 3+ years of hands on Databricks experience
- Bachelor’s degree in computer science, engineering, mathematics, or equivalent experience
- Proficiency in scripting and automation (SQL and PySpark)
- Experience with modern cloud platforms (AWS, Azure, GCP)
- Familiarity with alerting, monitoring, and CI/CD best practices
- Strong written and verbal communication skills
- Comfortable working in evolving, ambiguous environments with a high degree of ownership
- A detail-oriented, process-driven mindset with a commitment to quality and operational improvement
Nice To Haves
- Consulting experience a plus
Responsibilities
- Deliver engineering work on client-facing services and consulting projects, contributing directly to outcomes related data pipelines, platform deployments, observability, and infrastructure modernization specifically focused on Databricks
- Build internal tools, frameworks, and automations that reduce delivery friction and accelerate the onboarding, monitoring, and support of client environments
- Collaborate with Platform Services and Engineering team to develop and evolve delivery playbooks, onboarding guides, and Databricks platform best practices aligned with our initiatives
- Evaluate and implement new technologies that enhance platform resiliency, delivery velocity, and engineering consistency
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
