Sr. Data Engineer

InStride • Los Angeles, CA

76d • $150,000 - $165,000

About The Position

At InStride, people are our purpose. We believe that investing in people is the most powerful way to drive success—for individuals and organizations alike. As a public benefit corporation, we partner with leading employers to unlock opportunities for their employees, providing access to top-tier education programs that align with their employees’ career goals and the company’s business goals. Our mission goes beyond skill-building; we're here to empower our partners’ employees to advance their careers, elevate their expertise, and achieve meaningful personal and professional growth. No matter the team you’re on, our dedication to the success of our partners and their employees is what drives us. If you're passionate about making a difference and driving educational and professional advancement, InStride is the place for you.

Requirements

• Over 5 years of progressive experience in data engineering and data infrastructure roles.
• At least 2 years working with Python for data workflows.
• At least 2 years experience leveraging open-source data tools and frameworks.
• At least 2 years of experience leading or mentoring other engineers.
• Strong expertise in building batch and streaming data pipelines, designing and implementing ETL/ELT workflows.
• Proficiency with tools like Apache Spark, Airflow, dbt, Kafka, and similar.
• Proficiency with cloud data platforms and services, especially AWS and Databricks.
• Extensive experience in delivering projects using agile methodologies.
• Proven ability to work closely with cross-functional teams.

Nice To Haves

• Experience working with MongoDB and TypeScript.
• Experience with product, user experience, and project management teams.

Responsibilities

• Work as part of an agile team to develop new features and functionality.
• Provide hands-on technical leadership for a team of data engineers to build, deliver, and maintain a best-in-class data platform and pipelines.
• Demonstrate technical expertise by contributing to architecture discussions and decisions around data platforms, tooling, and workflows.
• Drive best practices on schema design, data modeling, and performance optimization.
• Collaborate with cross-functional teams to achieve high-quality, elegant solutions.
• Constantly apply best practices and provide recommendations for continuous improvement.
• Write well-designed, testable, and efficient code.
• Protect operations by keeping information and data confidential.
• Proactively communicate and manage expectations with your leader and team.

Benefits

• Enroll in 2,800+ online certificate and degree programs through our Step Forward program.
• 401(k) plan with company match.
• Flexible vacation policy.
• Paid family leave.
• Best-in-class health care benefits.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 101-250 employees