Sr. Databricks Engineer

External job listingat Inti

Company Description Inti provides highly skilled consultants from Latin America to support data and analytics projects for clients in the United States and abro

External source - not verified24 hours agoOpen until: Nov 30, 2026

Salary

Not provided

Location

Remote

Employment type

Contract

Workplace

Remote

Sr. Databricks Engineer

Remote

Job description

Company Description Inti provides highly skilled consultants from Latin America to support data and analytics projects for clients in the United States and abroad. The company focuses on recruiting top regional talent and offering training so consultants can deliver strong business-oriented data solutions. Inti specializes in near-shore consulting, combining time zone alignment with cost-effective, high-quality services. Team members work with international clients, gaining exposure to diverse industries, technologies, and project environments. The organization values collaboration, continuous learning, and measurable impact on clients’ data capabilities.Role Description The Sr. Databricks Engineer will design, build, and optimize scalable data pipelines and analytics solutions on the Databricks platform. Day-to-day work includes developing ETL/ELT workflows, integrating data from multiple sources, implementing data quality checks, and maintaining robust data models to support reporting, dashboards, and advanced analytics. The person in this role will collaborate with data engineers, analysts, and business stakeholders to translate requirements into technical solutions, troubleshoot performance issues, and ensure best practices in security, reliability, and cost optimization. The role also involves documenting solutions, participating in code reviews, and mentoring other team members on Databricks and modern data engineering practices. This is a remote contract role.Qualifications Strong experience with Databricks, including cluster management, notebooks, workflows, and Delta Lake.Proficiency in data engineering tools and languages such as Python or Scala, SQL, and modern ETL/ELT frameworks.Background in cloud data platforms (e.g., AWS, Azure, or GCP) and related services for storage, compute, and security.Knowledge of data modeling, data warehousing concepts, and performance optimization for large-scale datasets.Ability to collaborate with cross-functional teams, gather requirements, and translate business needs into technical solutions.Experience working in remote, distributed teams and managing deliverables in a consulting or client-facing environment.Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field, or equivalent practical experience.Experience with BI tools, analytics frameworks, or machine learning workflows on Databricks is a plus.Strong problem-solving skills, attention to detail, and commitment to high-quality, maintainable code.8 years of experience minimum

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