Experienced Data Engineer for AI-Powered Information Pipelines and Data Warehousing – Full-Time Remote Opportunity with OpenAI

Introduction to OpenAI and Our Mission

At OpenAI, we are pioneering the field of artificial intelligence with a mission to ensure that general-purpose AI benefits all of humanity. We are committed to pushing the boundaries of AI capabilities and delivering them safely through our products. Our vision is to harness the power of AI to solve some of the world's most pressing challenges, and we believe that this technology should be developed with safety and human needs at its core. To achieve our mission, we value diversity, inclusivity, and the integration of different perspectives, voices, and experiences that form the full spectrum of humanity.

About the Role: Data Engineer for Information Pipelines and Data Warehousing

We are seeking an experienced Data Engineer to lead the development of our information pipelines and data warehousing solutions. As a Data Engineer at OpenAI, you will play a critical role in designing, building, and managing our data pipelines, ensuring that all customer event data is seamlessly integrated into our data warehouse. Your contributions will have a significant impact on our business, informing product development, guiding business decisions, and preventing potential issues. This role also offers the unique opportunity to collaborate closely with the researchers behind ChatGPT, assisting them in training new models to deliver to clients.

Key Responsibilities:

• Design, build, and manage our data pipelines, ensuring all customer event data is consistently integrated into our data warehouse.
• Develop sanctioned datasets to track key product metrics, including customer growth, engagement, and revenue.
• Collaborate with various teams, including Infrastructure, Data Science, Product, Marketing, Finance, and Research, to understand their data needs and provide solutions.
• Implement robust and fault-tolerant systems for data ingestion and processing.
• Participate in data architecture and design decisions, bringing strong technical expertise and data-driven insights to the table.
• Ensure the security, integrity, and compliance of data in accordance with industry and company standards.

Essential Qualifications:

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• Proficiency in at least one programming language commonly used in Data Engineering, such as Python, Scala, or Java.
• Experience with distributed processing technologies and frameworks, such as Hadoop, Flink, and distributed storage systems (e.g., HDFS, S3).
• Familiarity with ETL schedulers like Airflow, Dagster, Manager, or similar tools.
• Strong understanding of SQL and ability to write, debug, and optimize SQL code.

Preferred Qualifications:

• Master's degree in Computer Science, Information Technology, or a related field.
• Experience with cloud-based data warehousing solutions, such as Amazon Redshift, Google BigQuery, or Snowflake.
• Knowledge of data governance and data quality best practices.
• Experience with agile development methodologies and version control systems, such as Git.
• Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.

Skills and Competencies Required for Success

To excel in this role, you will need to possess a combination of technical, business, and soft skills. These include:

• Technical expertise: Proficiency in programming languages, data processing technologies, and data storage systems.
• Data analysis and problem-solving skills: Ability to collect, analyze, and interpret large data sets, and to identify trends and patterns.
• Communication and collaboration skills: Ability to effectively communicate technical information to non-technical stakeholders, and to work collaboratively with cross-functional teams.
• Adaptability and flexibility: Ability to adapt to changing priorities and deadlines, and to be flexible in a fast-paced environment.
• Continuous learning: Commitment to ongoing learning and professional development, staying up-to-date with industry trends and emerging technologies.

Career Growth Opportunities and Learning Benefits

At OpenAI, we are committed to the growth and development of our employees. As a Data Engineer, you will have access to:

• Mentorship and coaching: Guidance from experienced professionals in the field, to help you achieve your career goals.
• Training and development programs: Opportunities to develop new skills and enhance existing ones, through workshops, conferences, and online courses.
• Cross-functional collaboration: Opportunities to work with various teams, including Research, Product, and Infrastructure, to broaden your knowledge and expertise.
• Industry conferences and events: Opportunities to attend industry conferences and events, to stay up-to-date with the latest trends and technologies.

Work Environment and Company Culture

At OpenAI, we value a culture of inclusivity, diversity, and collaboration. Our work environment is characterized by:

• Flexible and remote work arrangements: Opportunities to work from anywhere, with flexible hours and remote work arrangements.
• Collaborative and dynamic team: A team-oriented environment, with a focus on collaboration, open communication, and mutual respect.
• Emphasis on work-life balance: A culture that values work-life balance, with opportunities for professional development and personal growth.
• Access to cutting-edge technologies: Opportunities to work with the latest technologies and tools, and to contribute to the development of innovative AI solutions.

Compensation, Perks, and Benefits

We offer a competitive compensation package, including:

• Salary: $25 per hour, with opportunities for growth and advancement.
• Benefits: Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) plan with 4% matching, and paid parental leave.
• Perks: Access to cutting-edge technologies, flexible work arrangements, and opportunities for professional development and growth.
• Stock options: Opportunities to participate in our stock option plan, with potential for long-term financial growth.

Conclusion

If you are a motivated and experienced Data Engineer, looking for a challenging and rewarding role, we encourage you to apply for this opportunity. As a Data Engineer at OpenAI, you will have the chance to work on complex and impactful projects, collaborating with a talented team of professionals who are passionate about AI and its potential to benefit humanity. Join us in shaping the future of technology and apply today!

Apply now and take the first step towards an exciting and rewarding career with OpenAI.