Sr Data Engineer

Sr. Data Engineer

Job ID: CER 2046

Location: Seattle, WA, 98141

Schedule: Hybrid

Terms: 1099 or W2 (No C2C)

Compensation: Hourly Rates listed on SkillsMatrix

Instructions to Apply Online:

1. 1. Go to
   2. Look for the above Job ID & Click on it to find Job Details
   3. You will find an URL to SkillsMatrix within the Job Description
   4. Click on SkillsMatrix URL go to File > Select Download option > Select .doc version, Fill it & Save it
   5. Now Click on "Apply Now" on the same Job Description page and fill all the required details (Mandatory: Resume, SkillsMatrix, LinkedIn)

Note: Applications via ONLY will be reviewed

We'll cut off considering resumes on 04/19 at Noon CST.

Principal Duties and Responsibilities:

• Advanced Data Modeling: Build and optimize complex data models to meet the needs of business users, enhancing their ability to make informed decisions.
• Data Analysis and Stakeholder Engagement: Utilize advanced analytical tools and frameworks to interpret and present data and models, effectively engaging and influencing stakeholders.
• Reporting and Support: Provide ongoing support for daily reporting and data modeling tasks, ensuring timely and accurate delivery of information to support business decisions.
• Production Support and Troubleshooting: Address and resolve production issues related to application functionality and integrations, particularly post-implementation, to ensure continuous system performance.
• Continuous Improvement: Monitor system performance and user feedback to identify opportunities for improvement, and recommend enhancements to optimize business processes and system functionality.

Qualifications, Skills, Experience and Personal Requirements:

• Experience: 6-9 years of experience with Oracle/SQL server (Required)
• Education: Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field. Advanced degrees or certifications in database management or related specialties are advantageous.
• Exceptional Communication Skills: Demonstrated excellence in both oral and written communication, capable of effectively articulating technical concepts to diverse audiences.
• Solid Experience with Modern Data Platforms: Hands-on experience with cloud-native solutions, DataBricks, and Snowflake for scalable data processing and machine learning operations.
• Expertise in Scripting and Data Analysis: Strong proficiency in scripting for data analysis and automation, with a deep understanding of SQL and experience in Python for data operations.
• Advanced Data Management Experience: Minimum of 3 years proven experience in designing, managing, and optimizing data warehouses and complex ETL workflows, preferably with experience in modern ETL tools and practices.
• Analytical Acumen: Robust analytical skills to derive insights from data, support Business Analysts, and contribute to data-driven decision-making processes.
• Problem-Solving Expertise: Advanced problem-solving abilities with a strong foundation in mathematical principles applicable to data modeling and machine learning.
• Backend Development Skills: Experience in backend development, particularly with PL/SQL, and an openness to adopting new programming paradigms.
• Cloud Proficiency: Strong working knowledge of cloud platforms such as AWS, Azure, and GCP, with a focus on leveraging cloud services for data solutions.
• Big Data Expertise: Extensive experience with big data technologies and methodologies, skilled in handling large-scale data manipulation and analysis.
• ML/Ops and DevOps Integration: Familiarity with modern operational practices including ML/Ops and DevOps, with a track record of improving pipeline efficiency and deployment.
• Industry Experience: Retail industry experience preferred, with fashion retail experience highly desirable.
• Data Architecture Insight: Knowledge of data architecture principles, especially in environments using Oracle Retail Management Systems or similar platforms, is a plus.

Additional Manager Comments:

• Good awareness of culture/core values
• Leads with courage, knowing the possibility of greatness is bigger than the fear of failure
• Communicates with honesty and kindness, and creates the space for others to do the same
• Possesses an entrepreneurial spirit and continuously innovates to achieve great results
• Fosters connection by putting people first and building trusting relationships
• Integrates fun and joy as a way of being and working, aka doesn't take themselves too seriously