Data Engineer

July 1, 2026
Application ends: September 30, 2026
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Job Description

Description

In this role, you will design and optimize scalable data pipelines, ingestion frameworks, and data models that support analytics, reporting, operational insights, and near real-time data delivery. If you enjoy solving complex technical challenges, collaborating with cross-functional partners, and building reliable data infrastructure that drives decision-making, this role will be a strong fit. What You Will Do:

  • Design, build, and optimize scalable, reliable data pipelines and ETL/ELT processes
  • Build and enhance data ingestion frameworks using AWS services (e.g., Glue, DataSync) and platforms such as Snowflake and dbt
  • Implement ingestion strategies for structured and unstructured data from databases, APIs, and streaming sources, ensuring data quality, accuracy, and security
  • Troubleshoot and resolve issues across pipelines, ingestion jobs, and data workflows
  • 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 and tune performance of the data ecosystem; Proactively identify bottlenecks and recommend improvements
  • Partner with engineering and business stakeholders to translate requirements into scalable data solutions
  • Support onboarding/integration of operational/QoS-style telemetry datasets to enable improved near real-time visibility

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience)
  • 5+ years of data engineering experience designing and supporting scalable data solutions
  • Strong proficiency in Snowflake, dbt, SQL, and Python
  • Experience with modern ETL/ELT frameworks, data pipeline design, and data modeling
  • Experience with streaming and batch ingestion technologies such as Kafka and NiFi/Apache Flow-based tools
  • Hands-on experience with AWS data services and performance-tuning practices
  • Ability to translate business needs into scalable data architectures
  • Strong communication skills – able to explain deliverables, analyses, and issues clearly to technical and non-technical audiences
  • Strong organizational skills; Able to set priorities, manage bandwidth, and drive ownership of assigned work

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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