Data Engineer at CodeRoad

Worldwide

<p>&nbsp;</p> <h3 data-path-to-node="4"><strong data-path-to-node="4" data-index-in-node="0">The Team</strong></h3> <p data-path-to-node="5">At <strong data-path-to-node="5" data-index-in-node="3">Coderoad</strong>, 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.</p> <p data-path-to-node="6">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!</p> <h3 data-path-to-node="7"><strong data-path-to-node="7" data-index-in-node="0">The Role</strong></h3> <p data-path-to-node="8">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.</p> <ul data-path-to-node="9"> <li> <p data-path-to-node="9,0,0"><strong data-path-to-node="9,0,0" data-index-in-node="0">Position Location:</strong> Remote (Latin America).</p> </li> <li> <p data-path-to-node="9,1,0"><strong data-path-to-node="9,1,0" data-index-in-node="0">Time Zone Requirements:</strong> This team operates on <strong data-path-to-node="9,1,0" data-index-in-node="46">US East/West Coast time zones</strong>. Candidates must be willing to adjust schedules to meet specific project needs.</p> </li> </ul> <h3 data-path-to-node="10"><strong data-path-to-node="10" data-index-in-node="0">How you’ll make an impact:</strong></h3> <ul data-path-to-node="11"> <li> <p data-path-to-node="11,0,0"><strong data-path-to-node="11,0,0" data-index-in-node="0">Pipeline Architecture:</strong> Create and maintain optimal data pipeline architecture.</p> </li> <li> <p data-path-to-node="11,1,0"><strong data-path-to-node="11,1,0" data-index-in-node="0">Data Assembly:</strong> Assemble large, complex data sets that meet functional and non-functional business requirements.</p> </li> <li> <p data-path-to-node="11,2,0"><strong data-path-to-node="11,2,0" data-index-in-node="0">Process Improvement:</strong> Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.</p> </li> <li> <p data-path-to-node="11,3,0"><strong data-path-to-node="11,3,0" data-index-in-node="0">Infrastructure:</strong> 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).</p> </li> <li> <p data-path-to-node="11,4,0"><strong data-path-to-node="11,4,0" data-index-in-node="0">Tooling:</strong> Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.</p> </li> </ul> <h3 data-path-to-node="12"><strong data-path-to-node="12" data-index-in-node="0">What we’re looking for:</strong></h3> <ul data-path-to-node="13"> <li> <p data-path-to-node="13,0,0"><strong data-path-to-node="13,0,0" data-index-in-node="0">Communication:</strong> Advanced English (B2-C1, spoken and written).</p> </li> <li> <p data-path-to-node="13,1,0"><strong data-path-to-node="13,1,0" data-index-in-node="0">Experience:</strong> 4+ years as a Data Engineer experience building processes supporting data transformation, data structures, metadata, dependency, and workload management.</p> </li> <li> <p data-path-to-node="13,2,0"><strong data-path-to-node="13,2,0" data-index-in-node="0">Technical Stack:</strong> Experience with Databricks, Python, and SQL (Scala is a plus).</p> </li> <li> <p data-path-to-node="13,3,0"><strong data-path-to-node="13,3,0" data-index-in-node="0">Big Data Tools:</strong> Familiarity with Apache Spark, Data Factory, Synapse, or BigQuery.</p> </li> <li> <p data-path-to-node="13,4,0"><strong data-path-to-node="13,4,0" data-index-in-node="0">Data Pipelines:</strong> Experience building Big Data pipelines via Streams and/or Batches.</p> </li> <li> <p data-path-to-node="13,5,0"><strong data-path-to-node="13,5,0" data-index-in-node="0">Analytical Skills:</strong> Strong skills related to working with unstructured datasets and performing root cause analysis to identify opportunities for improvement.</p> </li> </ul> <h3 data-path-to-node="14"><strong data-path-to-node="14" data-index-in-node="0">What you’ll love:</strong></h3> <ul data-path-to-node="15"> <li> <p data-path-to-node="15,0,0">100% Remote</p> </li> <li> <p data-path-to-node="15,1,0">Holidays Off</p> </li> <li> <p data-path-to-node="15,2,0">Paid Time Off</p> </li> <li> <p data-path-to-node="15,3,0">Health insurance assistance program</p> </li> <li> <p data-path-to-node="15,4,0">Competitive Pay (USD)</p> </li> <li> <p data-path-to-node="15,5,0">Excellent teamwork and work environment</p> </li> <li> <p data-path-to-node="15,6,0">Training</p> </li> </ul> <p>&nbsp;</p>