At Higher Ground Education, we are radically reinventing education. We believe that for a student to live their life fully, we need an education model that fosters independence and develops competent, capable, action-oriented thinkers and change agents. To achieve this, we are using technology as an enabler for the timeless core principles of Montessori education. We are committed to making high-quality, modernized Montessori education available to all. To that end, we are looking for a capable engineer for the following role.

As a Data Engineer, we are looking for a highly skilled career professional with real-world experience architecting big data pipelines. As a Data Engineer on our Data Operations team, you will design, build, and maintain Higher Ground's data and cloud infrastructure. You are responsible for driving the architecture and creation of a mission-critical, fast, and scalable cloud data pipeline platform to ensure trusted and uninterrupted data access to our systems. You will execute Higher Ground's data strategy. This position is full-time and remote.

Your Responsibilities:

• To design and build scalable infrastructure platforms to collect and process large amounts of structured and unstructured data in real-time.
• Make decisions regarding data storage, technology selection, organization, and solution design with software engineering and product management teams.
• Automate data pipelines, create data models, and monitor data systems.
• Conduct root cause analyses of performance, instability, and accuracy problems.
• Build and maintain data infrastructure.
• Create observability tooling to help other teams debug, understand, and tune their big data jobs and pipelines.
• Assist and mentor other teams with building and managing their data pipelines.
• Identify and write tools to automate processes and deployments.

Basic Qualifications:

• A bachelor's degree in a technical area with two years of hands-on professional experience.
• Working knowledge of cloud platforms and services, preferably AWS and Azure
• Experience with data processing frameworks like Spark/MapReduce and Storm
• Knowledge of data lakes and distributed data stores such as Snowflake, Delta Lake, Hadoop, BigQuery/BigTable, Redshift, and Minio
• Familiarity with querying tools like Athena and Presto
• Understanding of ETL/ELT tools like NiFi and Glue
• Deep understanding of relational and NoSQL databases, preferably Postgre and MongoDB
• Data orchestration and cataloging tools like Airflow, Kubeflow, Glue catalog, and Databricks Unity
• Hands-on, professional experience designing and implementing large-scale data pipelines processing terabytes of data
• Proficient with SQL, schema design, and data warehousing
• Experience working with queuing systems and stream processing patterns such as found in Kafka, BullMQ, and Celery
• Proficient in other programming languages such as Python and Javascript
• Excellent interpersonal and communication skills.
• Experience documenting processes and maintaining data records.

Preferred Qualifications:

• Acquainted with best practices in data analysis
• Experience with ETL operations with popular back-office applications like Salesforce, Stripe, Plaid, etc.
• Familiarity with data visualization tools like Tableau and PowerBI
• Familiarity with NodeJS and associated frameworks
• Experience with Agile development practices

We Offer:

• A competitive salary
• Health, dental, and vision insurance
• Paid time off and paid holidays
• 100% tuition discount for two children at any school within our network
• A network of supportive peers and mentors who regularly share best practices
• Career growth and promotion opportunities