Senior Data Engineer - AWS ETL & Scalable Pipelines

International Executive Service Corps; Greenwood Village (CO); On-site; USD 90,000 - 115,000; Full time

Benefits offered by this job

Health and wellness benefits

401(k)

Paid time off

Career growth opportunities

Job summary

Excelacom, a global data engineering leader, seeks a Sr Data Developer (ETL) in Greenwood Village, CO. You will design, develop, and maintain scalable ETL pipelines in AWS, coordinate ingestions, and mentor junior staff in a cross-functional, client-focused setting.

You’ll contribute to interviews, architecture decisions, and data products supporting reporting and analytics for complex datasets across telecom and media domains.

Qualifications

• Advanced experience designing and architecting ETL processes, data pipelines, and analytic data products.
• Hands-on experience with Apache Iceberg and large-scale table formats.
• Strong Hadoop and Spark SQL experience, including performance tuning and query optimization.
• Hands-on experience with AWS data services, including EMR, Lambda, Glue, Step Functions, and Airflow.
• Demonstrated experience processing and optimizing very large datasets, including workloads involving billions of records per day.
• Strong Python scripting and development skills, including PySpark and workflow or control scripts.
• Experience writing, reviewing, testing, and troubleshooting production code.
• Deep understanding of data architecture, data engineering principles, data modeling, and data analysis.
• Strong problem-solving, troubleshooting, communication, and cross-functional collaboration skills.
• Demonstrated ability to mentor junior team members and provide constructive technical guidance.
• Prior consulting experience – in an agile environment – with a leading strategy firm, consulting practice, or consulting technology firm
• Proficiency in Microsoft Office (Word, Excel, PowerPoint, Visio)
• Strong verbal and written communication skills
• Bachelor’s degree, preferably in Computer Science or related field

Responsibilities

• Design, develop, and maintain robust, scalable ETL pipelines and datasets within AWS.
• Coordinate, build, and manage new data ingestions from diverse sources.
• Architect and implement updates, fixes, and performance optimizations across production data jobs.
• Write, review, test, and maintain production-quality code supporting high-volume data processing.
• Optimize queries, data models, and pipeline performance for datasets containing billions of records per day.
• Monitor production workflows, troubleshoot data and processing issues, and implement durable resolutions.
• Partner with data analysts and data scientists to design, build, and deploy data aggregation processes for reporting and analytics.
• Recommend and implement technical and process improvements for reliability and scalability.
• Evaluate emerging technologies through PoC development, testing, and documented recommendations.
• Mentor junior developers through technical guidance, code reviews, and best practices.
• Collaborate with stakeholders to translate business needs into scalable data solutions.
• Work closely with clients to identify process improvements
• Analyze business challenges and recommend technology-driven solutions
• Support system development, integration, and testing activities
• Develop presentations, deliverables, and implementation plans
• Assist with proposals and business development efforts

Skills

ETL design

Python

PySpark

Spark SQL

AWS

EMR

Glue

Apache Iceberg

Hadoop

Data pipelines

Mentoring

Data modeling

Troubleshooting

Consulting

SQL

Airflow

Git

Linux

Education

Bachelor’s degree in Computer Science or related field

Tools

Airflow

Git

Linux

SQL

Python

Job description

Excelacom, a global data engineering leader, seeks a Sr Data Developer (ETL) in Greenwood Village, CO. You will design, develop, and maintain scalable ETL pipelines in AWS, coordinate ingestions, and mentor junior staff in a cross-functional, client-focused setting.

You’ll contribute to interviews, architecture decisions, and data products supporting reporting and analytics for complex datasets across telecom and media domains.