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Job description

This is a remote position.

We are looking for a skilled Software Engineer to join our Data Management team in Austin, TX. This role offers an exciting opportunity to build tools and infrastructure for large-scale data collection, storage, and analysis that support machine learning and business operations.

Responsibilities:

Design, develop, and maintain scalable data management solutions and infrastructure.
Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to define and implement effective data solutions.
Build and optimize ETL pipelines to streamline data ingestion, transformation, and integration from various sources.
Implement data governance and quality standards to ensure data integrity and compliance.
Develop APIs, services, and tools for data access, querying, and visualization.
Monitor and optimize database performance to meet scalability and performance goals.
Stay current with emerging technologies and best practices in data management, machine learning, and cloud computing.

Skills and Requirements:

Proficiency in Python
Familiarity with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka).
Strong understanding of relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
Experience with cloud platforms (AWS, Azure, GCP) and container orchestration tools (e.g., Kubernetes, Docker).
Knowledge of data modeling, schema design, and optimization techniques.
Excellent problem-solving skills and a collaborative mindset.
Experience with Agile methodologies is a plus.