SWE & App Arch Engineer

About the role

As Data Platform Engineer, you will help build, maintain, and scale the infrastructure and pipelines that form the backbone of our data ecosystem. Working closely with senior engineers, you will gain hands-on experience with the modern data stack, cloud infrastructure, and data orchestration. This role is highly collaborative and perfect for someone with a strong foundation in computer science who is eager to learn, adapt, and write high-quality code.

Responsibilities

• Assist in the design, development, and maintenance of scalable data pipelines and cloud infrastructure
• Work alongside data engineers, data scientists, and analysts to understand data needs and ensure reliable data delivery
• Help monitor platform performance, troubleshoot data pipeline failures, and resolve foundational database issues
• Embrace AI and modern developer tools to write clean, efficient, and well-documented code
• Actively learn new technologies, frameworks, and best practices in the rapidly evolving data engineering space

Qualifications

Required Qualifications

• Education/Experience: Bachelor’s degree in computer science, Software Engineering, or a related technical field (or equivalent practical/bootcamp experience)
• CS Fundamentals: Strong grasp of core Computer Science principles, including object-oriented programming with Python
• Data Structures: Solid understanding of data structures, algorithms, and how to optimize code for performance and scale
• Database Management Systems (DBMS): Deep understanding of database architecture, relational concepts, and strong proficiency in SQL

Preferred Qualifications

• 1 to 2 years of experience (including internships, co-ops, or substantial academic/personal projects) in software engineering, data engineering, or DevOps
• Familiarity with Apache Airflow for scheduling/orchestration and dbt for data transformation
• Exposure to Terraform for managing cloud resources
• Basic understanding or hands-on experience with modern data warehouses/lakehouses like Snowflake or Databricks
• Familiarity with Kubernetes and Docker for deploying and managing scalable, containerized applications
• Experience working with PostgreSQL
• Understanding of and experience using AI coding assistants (e.g., Claude, GitHub Copilot) to accelerate development and problem-solving

Pay

The expected compensation range for this position is between $79,800 – $136,100. Location, confirmed job-related skills, experience, and education will be considered in setting actual starting salary. Your recruiter can share more about the specific salary range during the hiring process. Bonus based on performance and eligibility target payout is 5% of annual salary paid out annually.

Benefits

• Paid time off subject to eligibility, including paid parental leave, vacation, sick, and bereavement
• Medical, Dental, Vision, Disability, Health, and Dependent Care Reimbursement Accounts
• Employee Assistance Program (EAP)
• Insurance (Accident, Group Legal, Life)
• Defined Contribution Retirement Plan