Data Engineer (Databricks) (Remote - LAtam) at Jobgether

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

17 Dec, 25

Salary

0.0

Posted On

18 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Databricks, ETL, SQL, Python, Delta Lake, PySpark, MLflow, Databricks SQL, Unity Catalog, Job Scheduling, Cloud Platforms, Data Modeling, Data Quality, Data Governance, Data Visualization

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer (Databricks) in Latin America. This role offers a unique opportunity to design and implement high-performance data solutions on the Databricks platform, supporting business-critical analytics and cloud-based data ecosystems. You will manage complex datasets, build scalable ETL pipelines, and collaborate with cross-functional teams to translate raw data into actionable insights. The position requires both hands-on technical expertise and strategic thinking, allowing you to shape the data architecture, optimize processes, and drive innovative solutions. You will play a key role in enabling data-driven decisions across diverse teams while staying at the forefront of cloud and big data technologies. This is a fully remote role in a dynamic, fast-paced environment with ample opportunities for professional growth and impact. Accountabilities Design, implement, and maintain ETL pipelines in the Databricks environment for both batch and real-time data workflows. Develop Databricks solutions that integrate seamlessly with existing data architecture while ensuring scalability and performance. Optimize Databricks databases, including data structures, indexes, and query performance. Monitor and report on system performance, ensuring data quality, integrity, and adherence to QA processes. Analyze large datasets and communicate insights effectively to business stakeholders through clear storytelling. Collaborate with data engineers, analysts, and other teams to align on data strategy and best practices. Provide guidance on Databricks features, optimization techniques, and cost-efficiency opportunities. 4+ years of experience as a Data Engineer, preferably with hands-on experience in Databricks. 4+ years of expertise in SQL, data modeling, and ETL processes. 2+ years of experience with Python for data processing and automation. Proficiency with Databricks features: Delta Lake, PySpark, MLflow, Databricks SQL, Unity Catalog, and Job Scheduling & Workflows. Experience with cloud platforms such as AWS, Azure, or Google Cloud and related data integration tools. Strong problem-solving skills, attention to detail, and ability to work independently or collaboratively in fast-paced environments. Excellent communication skills, capable of conveying complex data concepts to non-technical stakeholders. Experience in agency settings or working with external clients is a plus. English proficiency at C1 level. Preferred Qualifications: Knowledge of data visualization tools such as Tableau or Power BI. Understanding of data governance and security best practices. Competitive compensation based on experience and market standards. 100% remote work, allowing flexible location within Latin America. Exposure to cutting-edge cloud and big data technologies. Opportunity to work on high-impact projects with cross-functional international teams. Continuous learning and career development opportunities in a fast-paced, innovative environment. Supportive company culture emphasizing growth, collaboration, and innovation. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

Design and implement high-performance data solutions on the Databricks platform, managing complex datasets and building scalable ETL pipelines. Collaborate with cross-functional teams to translate raw data into actionable insights and optimize data architecture.