InStride is looking to hire a Data Engineer to contribute to the architecture, platform, development, and sustainment of their platform and ecosystem. The ideal candidate will have a strong background in building scalable and reliable data infrastructure and products for large enterprises, with a focus on enabling data-driven decision-making to support InStride's mission of unlocking opportunities for employees through education programs.
Requirements
- Strong expertise in building batch and streaming data pipelines, designing and implementing ETL/ELT workflows, and ensuring high-quality, reliable data movement across systems.
- Proficiency with tools like Apache Spark, Airflow, dbt, Kafka, and similar.
- Proficiency with cloud data platforms and services, especially AWS and Databricks, to build scalable and reliable systems.
- You have spent at least 2 years working with Python for data workflows and at least 2 years experience leveraging open-source data tools and frameworks.
- Experience working with MongoDB and TypeScript is a plus.
- You have a deep understanding of open-source technologies and cloud services, enhancing the scalability, reliability, and innovation of platforms.
- Write well-designed, testable, and efficient code.
Responsibilities
- Contribute to the architecture, platform, development, and sustainment of our platform and ecosystem.
- Building batch and streaming data pipelines, designing and implementing ETL/ELT workflows, and ensuring high-quality, reliable data movement across systems.
- Build scalable and reliable systems using cloud data platforms and services, especially AWS and Databricks.
- Develop new features and functionality as part of an agile team.
- Provide hands-on technical leadership for a team of data engineers to build, deliver, and maintain a best-in-class data platform and pipelines.
- Contribute to architecture discussions and decisions around data platforms, tooling, and workflows.
- Drive best practices on schema design, data modeling, and performance optimization
Other
- Candidates must be located in one of the following states to be considered eligible for employment: AZ, CA, CO, CT, FL, GA, IL, IN, KS, LA, MD, MA, MI, MO, NV, NH, NJ, NY, PA, OH, OR, TX, VA, WA, WI.
- Extensive experience in delivering projects using agile methodologies, ensuring efficient and effective project execution.
- Proven ability to work closely with SRE, release engineering, security, product, UX, project management, business development, customer success, growth marketing, and executive teams.
- Expertise in delivering SaaS solutions for large enterprise customers, ensuring performance and scalability.
- You have over 5 years of progressive experience in data engineering and data infrastructure roles, delivering robust and scalable data solutions for high-growth businesses.
