Data Engineer ID52278

AgileEngineSaltillo, MS
Hybrid

About The Position

As a Data Engineer, you will design and scale high-performance ELT pipelines that power a centralized data warehouse and enable reliable, data-driven decision-making across the organization. You’ll collaborate closely with cross-functional teams to build a robust, scalable data platform, ensuring data quality, accessibility, and performance. This role offers strong ownership, architectural influence, and the opportunity to shape data systems, best practices, and a growing data-driven culture.

Requirements

  • 5+ years of experience in data engineering building scalable systems and pipelines
  • Expert proficiency in SQL and strong coding skills in Python
  • Hands-on experience with data warehousing, data lakes, and large-scale data systems
  • Strong understanding of computer science fundamentals (data structures, algorithms, distributed systems)
  • Solid understanding of distributed system architecture focusing on availability, reliability, and performance
  • Strong focus on execution and product delivery
  • Exceptional attention to detail and quality
  • Strong communication skills
  • Ability to mentor and support other engineers
  • Leadership mindset with ability to take initiative and deliver results
  • Comfort working in a fast-paced, evolving environment
  • Familiarity with Python, Django, Kubernetes, PostgreSQL, DBT, Redshift, AWS
  • Upper-intermediate English level

Responsibilities

  • Design, build, and optimize high-volume, high-performance ELT pipelines for a centralized data warehouse
  • Collaborate with Product, ML Engineers, Data Scientists, and DevOps to define scalable and secure data platform architecture
  • Own key data warehouse components including development, deployment, monitoring, and continuous improvement
  • Provide technical leadership through data architecture reviews and system design discussions
  • Contribute to engineering culture and data-driven best practices
  • Support internal and external stakeholders with a focus on data accessibility and usability
  • Mentor team members and participate in hiring processes

Benefits

  • Mentorship
  • TechTalks
  • Personalized growth roadmaps
  • Competitive compensation
  • USD-based pay
  • Education budget
  • Fitness budget
  • Team activity budgets
  • Modern solutions with Fortune 500 and top product companies
  • Flexible schedule
  • Remote options
  • Office options

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

No Education Listed

Number of Employees

251-500 employees

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