Senior Data Engineer

Sustainable Talent; California; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Senior Data Engineer to join a dynamic team supporting a leading Developer Program. This full-time role offers remote work options and competitive pay, allowing you to design and build ETL pipelines and data products that enhance the developer experience. Collaborate with cross-functional teams to deliver insights and solutions that drive product improvements. If you have a passion for data and want to work with cutting-edge technologies in a thriving environment, this opportunity is perfect for you.

Benefits

Medical insurance

Vision insurance

401(k)

PTO

Amazing company culture

Qualifications

• 6+ years experience in data engineering/analytics.
• Experience with data management systems and ETL pipelines.

Responsibilities

• Design and maintain data management systems for large datasets.
• Develop data processing applications with scalability and security.

Skills

SQL

Python

Data Engineering

Data Analytics

REST API Integrations

CI/CD Pipelines

AWS

Problem Solving

Education

BS in Computer Science

MS in Computer Science

Tools

GitHub

AWS Lambda

Docker

Job description

This range is provided by Sustainable Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$85.00/hr - $93.00/hr

Sustainable Talent is partnering with Nvidia a global leader who's been transforming computer graphics, PC gaming, and accelerated computing for over 25 years.

We are looking for a Senior Data Engineer to support our client's Developer Program. This is a W-2 full-time, contract role based in Santa Clara, CA with remote work options. We offer competitive pay $85/hr - $93/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

The NVIDIA Developer Program connects millions of developers, researchers, and data scientists worldwide with the SDKs, training materials, and resources they need to develop GPU-accelerated applications that are changing the world.

This dynamic and rapidly growing community of developers is applying their passion to develop a wide range of applications and services using the latest accelerated computing technologies. Key areas of application development include Deep Learning/AI, Autonomous Vehicles, Robotics, Design & Visualization, VR/AR, Ray Tracing, and advanced technologies changing the face of PC Gaming.

NVIDIA is now looking for a data engineer to design and build ETL pipelines and data products that help us better understand how we can serve the diverse needs of our developer community. In this role, you will work with product development, program management, and analytics & insights teams to understand their business requirements and deliver solutions that reveal insights to product owners and executives across the company.

You will be aggregating and integrating data from multiple sources to track SDK downloads and other activities, which will help us understand what developers need and improve our developer programs.

What you’ll be doing:

• Designing, implementing, testing, and maintaining data management systems involving large data sets collected from content delivery networks (CDNs), and other sources (e.g. GitHub).
• Building data processing applications with core design principles of scalability, maintainability, security, and coding best practices.
• Developing and implementing best practices for building data products, including data mining, data modeling, and access interfaces (e.g. SQL views, API services, etc).
• Implementing company-wide data policies to protect Personally Identifiable Information (PII) data.
• Designing and implementing comprehensive error handling, fault tolerance, and monitoring/alerting systems.
• Developing automated test routines that perform unit, functional, and system testing.
• Working directly with data analysts and product marketing leads to diagnose and resolve issues that arise in day-to-day data operations.

What we need to see:

• BS degree in Computer Science, or equivalent experience.
• 6+ years experience in data engineering/analytics using SQL, Python, regular expressions.
• Experience working on 3rd-party integrations, including REST API integrations and ETL standard processes.
• Familiarity with source code repository workflows, including CI/CD pipelines.
• Strong analytical, problem solving, and interpersonal skills.
• Experience working with Amazon Web Services (AWS), particularly AWS Lambda.

Ways to stand out from the crowd:

• MS degree in Computer Science or a related field.
• Experience with Ruby on Rails and/or Discourse.
• Experience working with Salesforce APIs and data.
• Experience with Spark SQL and Databricks.
• Skilled in containerizing applications using Docker for scalable and efficient deployments.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Industries

  Data Infrastructure and Analytics and Engineering Services

Referrals increase your chances of interviewing at Sustainable Talent by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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