Data Engineer

What We’re Looking For:

If you are experienced in data engineering, cloud-based data platforms, and enterprise data modernization, and have 5+ years of experience designing and supporting scalable data solutions, then you will be excited about the Data Engineer opening with Iridium on our Enterprise Data team. As a Data Engineer III, you ll be responsible for delivering high-quality work that advances Iridium's enterprise data modernization and consolidation initiatives, ensuring scalable, reliable, and secure data foundations that support evolving business needs.

In this role, you will focus primarily on designing and optimizing cloud-based data pipelines, ingestion frameworks, and data models that power analytics, reporting, operational insights, and more real-time data delivery, including modernization of QoS-related data pipelines. You will thrive in this role if you enjoy solving complex technical challenges, working with cross-functional partners, and building high-quality data infrastructure that drives strategic decision-making.

• Contribute to the design, development, and optimization of scalable, reliable, and efficient data pipelines and ETL processes
• Build and enhance data ingestion frameworks using AWS services such as Glue and Data Sync, along with platforms including Snowflake and DBT
• Support the implementation of strategies for ingesting structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
• Troubleshoot, diagnose, and resolve issues related to data pipelines and ingestion processes
• Develop and maintain data models to support analytics, reporting, and cross‑functional business needs
• Ensure adherence to data governance, compliance requirements, and security best practices
• Monitor, maintain, and optimize the health and performance of the data infrastructure to proactively identify bottlenecks or inefficiencies
• Work with cross‑functional teams to translate business requirements into scalable data solutions
• Support the onboarding and integration of QoS data initiatives, enabling more real‑time operational visibility

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.
• 5+ years of relevant experience in data engineering
• Prior experience in effectively collaborating and communicating with engineering teams and business stakeholders to build and maintain productive working relationships
• Strong proficiency in Snowflake, DBT, SQL, Python, and modern ETL/ELT frameworks
• Experience with data pipeline design, data modeling, streaming and batch ingestion technologies such as Kafka and NiFi/Openflow
• Hands‑on experience with AWS cloud services and data quality, governance, and performance‑tuning practices
• Ability to translate business requirements into scalable data architectures
• Telecom or satellite industry experience is a plus
• Strong organizational skills with the ability to set personal priorities and assist others in executing assigned tasks, with guidance; proactively communicates bandwidth issues to manager
• Good communication skills, with the ability to comfortably present products, deliverables, analyses, and/or issues to groups within your team
• Able to create, edit, and structure documents with minimal guidance
• Demonstrates active listening and asks substantive, thought-provoking questions
• Possess an analytical mindset, with the ability to understand key outputs of data analysis, make routine decisions using data, and recognize and propose solutions to issues
• Proactive in providing formal and informal feedback to peers and managers
• Facilitates teamwork, positively impacts team/peer group, and demonstrates ownership of assigned tasks and activities

• Experience with data orchestration tools such as Airflow
• Familiarity with CI/CD pipelines, infrastructure‑as‑code, or data quality frameworks
• AWS certifications or Snowflake certifications

• Be able to work in the office at least 60% of the time (3 days per week) to foster collaboration with the team and stakeholders
• Be on call
• Must be a US…