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Company

Natera · 4 hours ago

Senior Software Engineer - Data

Austin, TX

Full-time

Remote

Mid, Senior Level

$118K/yr - $148K/yr

5+ years exp

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BiotechnologyGenetics

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AWS stackAdvanced SQLPythonData governanceData quality standardsData management fundamentalsKafkaMachine learning workflowsData science conceptsGenomic dataCollaborative mindset

Required

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.

Preferred

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

Free testing in addition to fertility care benefits

Pregnancy and baby bonding leave

401k benefits

Commuter benefits

Generous employee referral program

Company

Natera

Glassdoor

3.5

Natera specializes in cell-free DNA testing to provide a more targeted interventions to oncology, women's health, and organ health.

Founded in 2004

San Carlos, California, USA

1001-5000 employees

https://www.natera.com/

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (24)

2022 (54)

2021 (75)

2020 (47)