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Data Engineer at CodeRoad. . Location: Latin America.  . . The Team. . At . Coderoad. , we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for.. . We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level!. . The Role. . The Data Engineer must be comfortable working virtually as part of one or more customer engagements. You will work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.. . . . Position Location:. Remote (Latin America).. . . . Time Zone Requirements:. This team operates on . US East/West Coast time zones. . Candidates must be willing to adjust schedules to meet specific project needs.. . . . How you’ll make an impact:. . . . Pipeline Architecture:. Create and maintain optimal data pipeline architecture.. . . . Data Assembly:. Assemble large, complex data sets that meet functional and non-functional business requirements.. . . . Process Improvement:. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.. . . . Infrastructure:. Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from a wide variety of sources using SQL and Cloud technologies (Azure/GCP).. . . . Tooling:. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.. . . . What we’re looking for:. . . . Communication:. Advanced English (B2-C1, spoken and written).. . . . Experience:. 4+ years as a Data Engineer experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.. . . . Technical Stack:. Experience with Databricks, Python, and SQL (Scala is a plus).. . . . Big Data Tools:. Familiarity with Apache Spark, Data Factory, Synapse, or BigQuery.. . . . Data Pipelines:. Experience building Big Data pipelines via Streams and/or Batches.. . . . Analytical Skills:. Strong skills related to working with unstructured datasets and performing root cause analysis to identify opportunities for improvement.. . . . What you’ll love:. . . . 100% Remote. . . . Holidays Off. . . . Paid Time Off. . . . Health insurance assistance program. . . . Competitive Pay (USD). . . . Excellent teamwork and work environment. . . . Training. . . .