Data Engineer – Databricks (Mining Operations) We are seeking a Data Engineer to maintain and enhance existing data pipelines that ingest data from mining operation source systems across South America and load it into Databricks. The role focuses on ensuring high-quality, reliable data delivery to support self-service analytics across business teams. You will work closely with stakeholders in South America, contributing to scalable data solutions that drive operational insights. Spanish language skills are a strong plus due to regular collaboration with regional teams. Key Responsibilities Support, maintain, and enhance existing data pipelines Develop and optimize data ingestion processes from operational source systems Ensure data availability and quality within Databricks for downstream consumption Enable and support self-service data access for business users Collaborate with cross-functional teams across South America Improve pipeline reliability, scalability, and performance Required Skills (Priority Order) Databricks Unity Catalog SQL dbt (Data Build Tool) Delta Lake Data pipeline orchestration (e.g., workflows, schedulers) Nice to Have Performance optimization in Databricks environments Python / PySpark Spanish language proficiency The pay range that the employer in good faith reasonably expects to pay for this position is $34.88/hour - $54.50/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations. #J-18808-Ljbffr