Data Engineer
At Coderoad , we're more than just a software development company—we're your gateway to the global tech world.
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
Posted July 24, 2026