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Title: Senior Data Engineer

Location: REMOTE

Pay Rate: $125,000/year + Bonus

Overview:

We are seeking a Senior Data Engineer to join our Agile team. This role is responsible for designing and optimizing scalable data pipeline architectures, enabling data flow across the organization. The ideal candidate will collaborate with cross-functional teams including developers, database architects, analysts, and data scientists to ensure reliable data delivery systems. This position also involves mentoring junior engineers and contributing to the development of data-driven tools and analytics platforms.

Key Responsibilities

Data Engineering & Development

• Design, assemble, and maintain large, complex data sets that meet functional and non-functional business requirements.
• Build and optimize data pipelines using AWS services (Python, PySpark, EC2, S3, Glue, Lambda, and Delta Lake).
• Develop IaC using Terraform and contribute to CI/CD pipelines for automated deployment.
• Implement cloud-based data solutions and microservices architectures.
• Create analytics tools and dashboards that generate actionable business insights.
• Write and maintain clean, efficient, testable, and well-documented code.
• Collaborate on design and code reviews.

Production Support

• Perform regular system maintenance and upgrades.
• Troubleshoot production issues, including those involving third-party applications.
• Anticipate data and infrastructure challenges, proposing and implementing solutions.

Team Collaboration & Leadership

• Collaborate with stakeholders to understand data needs and translate them.
• Participate in Agile ceremonies and cross-functional meetings.
• Mentor junior team members.

Requirements

• Strong experience with Python and PySpark for data processing and automation.
• Proficient in Terraform and Git-based version control workflows.
• Hands-on experience building & maintaining CI/CD pipelines.
• Familiarity with message queuing, stream processing, and distributed data architectures.
• Strong understanding of DevOps and infrastructure automation practices.
• Ability to perform root cause analysis on data issues and identify improvement opportunities.

Education & Experience

• Bachelor's degree in Computer Science, Information Systems, or a related field (preferred).
• 5+ years of experience in Python and building data pipelines.
• 3+ years working with AWS cloud data services and IaC.
• 2+ years of CI/CD pipeline development.

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