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We are looking for an experienced data engineer to join our platform engineering team. This is an opportunity to join a small, growing engineering org and make a large impact while operating with a high degree of autonomy and ownership. You will be responsible for designing, building, and maintaining the data pipelines and infrastructure that power our analytics and product features. This role requires a blend of strategic vision and hands-on technical skills. As an early member of the team, you will also play a key role in shaping the foundation of Prepared by Axon’s engineering culture.
Job Responsibility:
Design, implement, and maintain scalable data pipelines and infrastructure
Collaborate with software engineers, product managers, customer success managers, and others across the business to understand data requirements
Optimize and manage our data storage solutions
Ensure data quality, reliability, and security across the data lifecycle
Develop and maintain ETL processes and frameworks
Work with stakeholders to define data availability SLAs
Create and manage data models to support business intelligence and analytics
Requirements:
5+ years of experience in data engineering, software engineering with a data focus, data science, or a related role
Knowledge of designing data pipelines from a variety of source (e.g. streaming, flat files, APIs)
Proficiency in SQL and experience with relational databases (e.g., PostgreSQL)
Experience with real-time data processing frameworks (e.g., Apache Kafka, Spark Streaming, Flink, Pulsar, Redpanda)
Strong programming skills in common data-focused languages (e.g., Python, Scala)
Experience with data pipeline and workflow management tools (e.g., Apache Airflow, Prefect, Temporal)
Familiarity with AWS-based data solutions
Strong understanding of data warehousing concepts and technologies (Snowflake)
Experience documenting data dependency maps and data lineage
Strong communication and collaboration skills
Ability to work independently and take initiative
Proficiency in containerization and orchestration tools (e.g., Docker, Kubernetes)
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