Senior Data Engineer (Databricks)
For our client, we are seeking a Senior Data Engineer (Databricks) to join the team of a leader in the Technical Services space. This role will focus on designing and delivering modern data foundations that support analytics, ML, and AI initiatives across a range of client engagements. You will own end-to-end data pipeline development and help architect Lakehouse solutions that balance performance, quality, and scalability. The position also partners closely with engineers and stakeholders to shape data models, APIs, and practical data strategies tailored to project needs.
Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $150,000 – $180,000 annually
Responsibilities:
Design and build production data pipelines with end-to-end ownership Architect and implement tailored Lakehouse solutions Build and maintain transformation layers with data quality constraints Design and maintain data foundations for ML and AI products Collaborate with engineers to design data models and APIs Consult with clients to develop and implement data strategies Adapt approach based on project needs and client discussions
Qualifications:
7–10 years of data engineering experience, including 5 years in production Databricks environments Solid knowledge of AWS and Azure services for Databricks deployments; GCP familiarity is a plus Expertise in Lakeflow Pipelines, Autoloader, Structured Streaming, Unity Catalog, Delta Lake table design, and query optimization Proficiency in SQL and Python, with clean coding practices Strong communication skills for engaging with both technical and non-technical stakeholders Problem-solving skills to navigate ambiguous requirements
Benefits:
Collaborative work environment with talented individuals Focus on respect, mutual trust, and egoless collaboration Opportunity to work on impactful projects Commitment to quality and attention to detail Participation in building a specialized data practice Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.