Data Infrastructure Engineer - Remote

Overview

As a Data Infrastructure Engineer, you will be responsible for building and maintaining critical data infrastructure. You will build ingestion, analysis, and reporting pipelines that are at the core of Bastion’s leading compliance and product offerings. You’ll also work with teams across the entire Bastion organization, including compliance, legal, and finance.

In Short

• Architect, build, and maintain modern and robust real-time and batch data analytics pipelines.
• Develop and maintain declarative data models and transformations.
• Implement data ingestion integrations for streaming and traditional sources such as Postgres, Kafka, and DynamoDB.
• Deploy and configure BI tooling for data analysis.
• Work closely with product, finance, legal, and compliance teams to build dashboards and reports to support business operations, regulatory obligations, and customer needs.
• Establish, communicate, and enforce data governance policies.
• Document and share best practices with regards to schema management, data integrity, availability, and security.
• Protect and limit access to sensitive data by implementing a secure permissioning model and establishing data masking and tokenization processes.
• Identify and communicate data platform needs, including additional tooling and staffing.
• Work with cross-functional teams to define requirements, plan projects, and execute on the plan.

Requirements

• 5+ years of professional engineering and data analytics experience, startup experience a plus.
• Strong proficiency and comfort using SQL and Python to perform complex data analysis.
• Recent experience building automation tooling and pipelines using a general purpose language such as Python, Golang, and/or Typescript.
• Experience with modern data pipeline and warehouse technologies (e.g. Snowflake, Databricks, Apache Spark, AWS Glue)
• Strong proficient writing declarative data models and transformations using modern technologies (e.g. dbt)
• Experience building and maintaining cloud-based data lakes.
• Prior experience with integrating real-time data streaming technologies (e.g. Kafka, Spark)
• Prior experience with configuring and maintaining modern data orchestration platforms (e.g. Airflow)
• Comfort with infrastructure-as-code tooling (e.g. Terraform) and container orchestration platforms (e.g. Kubernetes)
• Strong preference to keep things simple, ship fast, and avoid overengineering.
• Self-driven and ability to work autonomously.
• Professional Web3 / Crypto experience is a plus.

Benefits

• Equal employment opportunities to all employees and applicants.
• Prohibits discrimination and harassment of any type.
• Participates in E-Verify to authorize eligibility of employment in the United States.