Introduction to Costco and the Role
Costco, a renowned leader in the retail industry, is seeking an exceptional Principal Engineer to spearhead its data analytics and data science initiatives. As a key member of our team, you will be responsible for shaping the company's data examination and reporting landscape, driving innovation, and providing technical expertise to guide our data-driven decision-making processes. This is an extraordinary opportunity for a seasoned professional to make a significant impact on our organization's success and growth.
Key Responsibilities
As a Principal Engineer - Data Analytics & Data Science, your primary responsibilities will include:
- Leading and coaching a team of specialists, providing technical guidance, and fostering a culture of continuous learning and development.
- Driving modern software practices through design reviews and ensuring the implementation of best practices.
- Managing system design through distinct interfaces across various components, code reviews, and utilizing data/telemetry to inform decisions.
- Developing "top-tier" engineering for our services, ensuring they are modular, secure, reliable, diagnosable, easily monitored, and reusable.
- Improving test coverage for services, organizing and implementing integration tests, and resolving trouble spots.
- Ensuring testability, compactness/checking, reliability, and usability, and understanding when code is ready to be shared and deployed.
- Focusing on business needs through a data-driven approach and investigating opportunities to improve automation, reliability, and monitoring for deployed products.
- Setting the strategic vision for data examination and reporting, aligning with organizational objectives, and providing leadership in guiding the overall direction of data examination technical initiatives.
- Designing, developing, and optimizing complex data models and reporting structures, driving the design and implementation of flexible and efficient data analysis and reporting architectures.
- Ensuring the integrity, security, and performance of data products and reporting solutions by collaborating with platforms, data architecture, and administration teams.
- Defining and implementing the long-term technical strategy for data examination, incorporating emerging technologies and industry trends.
- Staying up-to-date with emerging technologies and evaluating their relevance to the organization, collaborating with cross-functional teams to develop comprehensive data solutions.
Essential Qualifications
To be successful in this role, you should possess:
- A demonstrated history with at least 15+ years of hands-on experience in data examination and reporting roles.
- 5+ years of experience in leadership or senior roles, showcasing the ability to effectively guide and lead a team.
- 5+ years of experience working with Cloud technologies, such as ADLS, Azure Databricks, Spark, Azure Synapse, Universe DB, DBT, and other big data technologies.
- Demonstrated advanced proficiency in data analysis tools, languages, ML, and frameworks (e.g., Cosmos, PowerBI, SQL, Python, R).
- Proficiency in data visualization tools, such as Tableau, Power BI, or similar tools to effectively communicate insights.
- Demonstrated expertise in working with cloud platforms, such as AWS, Azure, or Google Cloud, to design and implement flexible and efficient data analysis solutions.
- In-depth understanding and practical application of Lakehouse architecture principles, combining the best of data lakes and data warehouses for powerful and flexible data management.
- Advanced SQL skills, with a strong understanding of relational databases and business data, and the ability to write complex SQL queries against multiple data sources.
- Experience managing high-volume and high-velocity data streams, and designing systems that can handle the demands of real-time or near-real-time analysis.
Preferred Qualifications
While not required, the following qualifications are preferred:
- A Bachelor's or Master's degree in Computer Science, Informatics, Data Science, or a related technical discipline.
- Relevant industry certifications are a plus.
- Experience in retail, manufacturing, e-commerce, or supply chain management.
Skills and Competencies
To excel in this role, you should possess:
- Strong technical leadership and mentoring skills, with the ability to guide and develop a team of specialists.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Strong problem-solving and analytical skills, with the ability to drive innovation and implement industry best practices.
- Ability to assume ownership and responsibility for critical issues and close them to resolution.
- Strong critical thinking and problem-solving skills, with the ability to analyze complex data sets and develop actionable insights.
Career Growth Opportunities and Learning Benefits
At Costco, we are committed to the growth and development of our employees. As a Principal Engineer - Data Analytics & Data Science, you will have access to:
- Ongoing training and development opportunities to enhance your technical skills and knowledge.
- Opportunities to work on complex and challenging projects, driving innovation and implementing emerging technologies.
- A collaborative and dynamic work environment, with a team of experienced professionals who are passionate about data analytics and data science.
- Recognition and rewards for outstanding performance, including bonuses and stock options.
Work Environment and Company Culture
At Costco, we pride ourselves on our positive and inclusive company culture. As a Principal Engineer - Data Analytics & Data Science, you will be working in a remote environment, with the flexibility to work from home and collaborate with team members across the USA. Our company culture is built on the following values:
- Integrity: We operate with honesty and transparency, ensuring that our actions align with our values and principles.
- Respect: We treat our employees, customers, and partners with respect and dignity, recognizing the value and contributions of each individual.
- Excellence: We strive for excellence in everything we do, continuously improving our processes and services to meet the evolving needs of our customers.
- Teamwork: We work collaboratively as a team, recognizing that our collective efforts and contributions are essential to our success.
Compensation, Perks, and Benefits
We offer a comprehensive package of benefits, including:
- A competitive salary range of $160,000 - $230,000 per year, depending on experience and qualifications.
- Bonus and stock options, recognizing and rewarding outstanding performance.
- Comprehensive health benefits, including medical, dental, vision, hearing, and pharmacy coverage.
- 401(k) plan, with company matching contributions.
- Stock purchase plan, allowing employees to purchase company stock at a discounted rate.
- Flexible work arrangements, including remote work options and flexible hours.
- Ongoing training and development opportunities, enhancing technical skills and knowledge.
Conclusion
If you are a motivated and experienced data analytics and data science professional, looking for a challenging and rewarding role, we encourage you to apply for this exceptional opportunity. As a Principal Engineer - Data Analytics & Data Science at Costco, you will have the chance to make a significant impact on our organization's success and growth, while working in a collaborative and dynamic environment. Apply now to join our team and take your career to the next level!
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