Senior Software Engineer

Summary

Join Natera as a Senior Software Engineer - Data and play a key role in designing, building, and maintaining our data infrastructure. You will leverage your extensive AWS experience and advanced SQL skills to deliver data as a product, optimize pipelines, and ensure data governance. This role involves collaborating with stakeholders, implementing data quality standards, and automating workflows. Experience with Kafka, machine learning, or genomic data is highly desirable. The position offers a competitive salary and a comprehensive benefits package.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• 5+ years of experience in data engineering, working on large-scale data infrastructure
• Proficiency in the AWS stack, including services like Redshift, Glue, Lambda, S3, Kinesis, and DynamoDB
• Advanced SQL skills with demonstrated ability in query optimization and complex data transformations
• Strong programming skills in Python or similar programming languages, with experience in ETL/ELT pipeline development
• Proven experience implementing data governance frameworks and enforcing data quality standards
• Solid understanding of data management fundamentals, including governance, quality frameworks, and storage optimization
• Knowledge of data storage principles, such as partitioning, indexing, and data lifecycle management
• Strong problem-solving and analytical skills
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders
• A proactive, collaborative mindset with a focus on delivering results

Responsibilities

• Develop and optimize scalable, efficient data pipelines for both batch and streaming data using AWS technologies
• Leverage advanced SQL skills to ensure high performance and scalability of data workflows
• Collaborate with stakeholders to design and deliver data products that align with business requirements
• Ensure data products are reliable, maintainable, and meet performance standards
• Implement robust data governance frameworks to ensure compliance with organizational policies and standards
• Establish and enforce data quality standards to maintain the accuracy, consistency, and integrity of data assets
• Apply data management fundamentals to optimize data organization, storage, and retrieval processes
• Write clean, reusable code in Python or similar programming languages to automate data workflows
• Identify opportunities for automation to improve the efficiency and reliability of data processes
• Leverage a deep understanding of data storage principles to design efficient, cost-effective storage solutions using AWS services such as S3, Redshift, and DynamoDB
• Work closely with data engineers, analysts, and data scientists to support data-driven initiatives
• Provide mentorship to junior engineers, promoting technical growth and knowledge sharing
• Assist in creating and managing dashboards or visualizations using tools like AWS QuickSight, Tableau, or similar BI tools

Preferred Qualifications

• Hands-on experience with Kafka for streaming data pipelines and event-driven architectures is a plus
• Knowledge of machine learning workflows or data science concepts is desirable
• Experience working with genomic or bioinformatics data is a bonus

Benefits

• Comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents
• Natera employees and their immediate families receive free testing in addition to fertility care benefits
• Pregnancy and baby bonding leave
• 401k benefits
• Commuter benefits
• A generous employee referral program