Data Engineer III

Walmart • Bentonville, AR

1d • $109,699 - $180,000 • Onsite

About The Position

The Data Engineer III identifies options to address business problems through analytics, big data analytics, and automation; supports business cases and recommendations; owns assigned project activities and tasks; and supports process changes and data governance documentation and implementation. The role applies defined strategies to routine, single-function business problems and helps prioritize requirements and service-level agreements.

The position extracts data from identified databases, builds data pipelines, transforms data for specific problems, performs initial data-quality checks, and identifies suitable data sources. It analyzes complex data elements, systems, flows, dependencies, and relationships; develops logical and physical data models, including warehouse and mart designs; defines relational tables, keys, and stored procedures; evaluates existing models and databases; and develops efficient data flows. The role also addresses data integration challenges, creates training documentation, trains end users, and oversees tasks of less experienced programmers while providing troubleshooting support.

The Data Engineer III writes and tests code, selects appropriate programming languages, creates test cases and proofs of concept, and deploys software to production servers. The position contributes code documentation, maintains playbooks, provides progress updates, and applies current data science and analytics trends and best practices to improve action plans and support business and customer needs.

The role requires a master’s degree or equivalent in Computer Science or a related field, or a bachelor’s degree or equivalent in Computer Science or a related field plus two years of experience in software engineering or a related field. The employer accepts any amount of experience with the listed required skills. The job is located at 811 Excellence Dr, Bentonville, AR 72716, with annual pay of $109,699 to $180,000 and additional annual or quarterly performance incentives.

Requirements

• Master’s degree or equivalent in Computer Science or a related field; or bachelor’s degree or equivalent in Computer Science or a related field plus two years of experience in software engineering or a related field.
• Experience designing and developing dataflows in Google Cloud Platform.
• Experience coding in Scala and using object-oriented programming in Python.
• Experience designing and developing data warehouses in BigQuery.
• Experience developing data pipelines and analyzing ad hoc requests with Apache Spark and PySpark.
• Experience designing and developing SQL-like queries and data pipelines on Google bucket with Apache Hive.
• Experience with code commits and version control using Git, and code deployment in Looper with CI/CD.
• Experience developing shell scripts to automate jobs.
• Experience developing real-time data streaming with Apache Kafka.
• Experience retrieving relevant data and performing analysis with Data Discovery.
• Experience developing data ingestion pipelines with Sqoop.
• Experience designing and testing relational database management systems in BigQuery and MySQL.
• The employer accepts any amount of experience with the listed required skills.

Responsibilities

• Identify options for addressing business problems using analytics, big data analytics, and automation.
• Support business cases and recommendations and own assigned project activities and tasks.
• Support process updates and changes, solve business issues, and document and implement data governance practices.
• Apply defined strategies to routine business problems involving a single function.
• Extract data from identified databases, build data pipelines, transform data, and perform initial data-quality checks.
• Help identify suitable data sources and support prioritization of requirements and service-level agreements.
• Analyze data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, logical, and physical data models.
• Develop logical and physical data models, including data warehouse and data mart designs.
• Define relational tables, primary and foreign keys, and stored procedures; evaluate existing data models and physical databases for variances and discrepancies.
• Develop efficient data flows and propose solutions to data-related system integration challenges.
• Create training documentation and train end users on data modeling.
• Oversee tasks of less experienced programmers and provide system troubleshooting support.
• Write code and develop application features based on business, technical, and data requirements.
• Create test cases, develop proofs of concept, test code using appropriate approaches, and deploy software to production servers.
• Contribute code documentation, maintain playbooks, and provide timely progress updates.
• Apply current expertise and best practices to develop and improve action plans, advise others, and support customer and business needs.

Benefits

• Medical, vision, and dental coverage.
• 401(k), stock purchase, and company-paid life insurance.
• Paid time off, including sick leave, parental leave, family care leave, bereavement leave, jury duty leave, and voting leave.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Performance-based incentive awards, including annual or quarterly performance incentives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level