Data Engineer

Wal-Mart Stores, Inc.
Denver, CO, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
$99,000.0 - $198,000.0
Working hours
Regular working hours

Tech stack

Adobe Analytics Web Accessibility Airflow Amazon Web Services Data Analysis Big Data Cloud Computing Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Data Systems
+21 more
Apache Hadoop JSON Python (Programming Language) NoSQL Standard Sql Software Engineering SQL Databases Web Content Accessibility Guidelines Parquet Apache Spark Data Strategy Data Lakes Pyspark Information Technology Avro Data Analytics Apache Kafka Data Management Dynamic Data Restful APIs Data Pipelines

Job description

Are you a data enthusiast with a passion for transforming raw data into valuable insights? Join our dynamic Data Lake Engineering Team at Walmart/VIZIO as a Senior Data Engineer. You’ll have the opportunity to work with cutting-edge technologies, drive impactful data projects, and contribute to the future of data engineering at one of the world’s leading companies.

What you’ll do…

About the Team:

Our Data Lake Engineering Team operates at the heart of Walmart/VIZIO’s data strategy, focusing on building scalable data solutions and pipelines. We are committed to leveraging advanced data techniques to unlock business value, drive innovation, and support decision-making across the organization. In this role, you’ll play a critical part in enhancing our data infrastructure and delivering high-performance data solutions.

What You’ll Do:

  • Design and implement ETL processes for data integration.
  • Manage and optimize data pipelines for analytics and operational use.
  • Develop and maintain data models and schemas.
  • Utilize SQL, Python, and big data tools to transform and analyze data.
  • Collaborate with cross-functional teams to support data-driven projects.
  • Ensure data quality and governance standards are met.

Requirements

  • Proficiency in Python, Pyspark, SQL, and/or Scala.
  • Experience with relational SQL and NoSQL databases.
  • Expertise in AWS cloud services and data pipeline tools like Apache Airflow.
  • Knowledge of big data tools such as Hadoop, Spark, and Kafka.
  • Strong understanding of data formats like Avro, Parquet, and JSON.
  • Hands-on experience in full-stack web development and REST APIs.
  • A BS or MS in Computer Science or a similar relevant field.
  • 5+ years of experience in data engineering and cloud-based ecosystems., Option 1: Bachelor’s degree in Computer Science and 3 years’ experience in software engineering or related field. Option 2: 5 years’ experience in software engineering or related field. Option 3: 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.

Preferred Qualifications…

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data engineering, database engineering, business intelligence, or business analytics, ETL tools and working with large data sets in the cloud, Master’s degree in Computer Science or related field and 3 years’ experience in software engineering, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture.

Benefits & conditions

At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.

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