(USA) Data Engineer III

Vizio Group • Denver, CO

90d • $99,000 - $198,000

About The Position

Join Walmart/VIZIO and take your career to the next level. Are you passionate about harnessing the power of data to drive impactful business decisions? Join Walmart/VIZIO as a Data Engineer III and be part of our dynamic Data Lake team. This role offers the opportunity to work with cutting-edge technologies and shape the future of data analytics at one of the world's leading companies. The Data Lake team is at the heart of Walmart/VIZIO's data strategy, focused on creating a robust and scalable data infrastructure. Our mission is to provide actionable insights that drive business growth and efficiency. As a Data Engineer III, you will play a crucial role in building and maintaining data pipelines, ensuring data quality, and supporting the company's data-driven initiatives.

Requirements

• Proficiency in Python, PySpark, SQL, and/or Scala.
• Experience with relational SQL and NoSQL databases.
• Strong understanding of in-memory processing and data formats (Avro, Parquet, JSON).
• Hands-on experience with AWS cloud services (EC2, MSK, S3, RDS, SNS, SQS).
• Knowledge of big data tools (Hadoop, Spark, Kafka) and stream-processing systems (Storm, Spark-Structured-Streaming, Kafka consumers).
• Bachelor's degree in Computer Science and 3 years' experience in software engineering or related field, or 5 years' experience in software engineering or related field, or Master's degree in Computer Science and 1 year's experience in software engineering or related field.
• 2 years' experience in data engineering, database engineering, business intelligence, or business analytics.

Nice To Haves

• Master's degree in Computer Science or related field and 2 years' experience in software engineering or related field.
• Background in creating inclusive digital experiences.
• Knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards and assistive technologies.
• Knowledge of accessibility best practices.

Responsibilities

• Design and implement ETL processes for data integration.
• Manage and optimize data pipelines for analytics and operational use.
• Develop scalable data architectures using cloud services like AWS.
• Collaborate with cross-functional teams to understand data requirements.
• Ensure data quality and governance across the data lifecycle.

Benefits

• Competitive pay and performance-based bonus awards.
• Health benefits including medical, vision, and dental coverage.
• Financial benefits including 401(k), stock purchase, and company-paid life insurance.
• Paid time off benefits including PTO, parental leave, family care leave, bereavement, jury duty, and voting.
• Short-term and long-term disability.
• Company discounts.
• Military Leave Pay.
• Adoption and surrogacy expense reimbursement.
• Live Better U education benefit program for full-time and part-time associates.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Furniture, Home Furnishings, Electronics, and Appliance Retailers
• Education Level: Bachelor's degree