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 supports process updates, issue resolution, and data governance documentation and implementation. The role applies defined strategies to routine business problems, extracts and checks data, builds data pipelines, selects fit-for-purpose data sources, and develops knowledge of current data science and analytics trends.

The position analyzes data elements, systems, flows, dependencies, and relationships to contribute to conceptual, logical, and physical data models. It develops data warehouse and data mart designs; defines relational tables, keys, and stored procedures; evaluates existing models and databases; designs efficient data flows; and proposes solutions to data integration challenges. It also creates training documentation, trains end users on data modeling, and oversees tasks of less experienced programmers.

The Data Engineer writes code and develops application features based on business, technical, and data requirements; creates test cases and proofs of concept; tests and deploys software; documents code, maintains playbooks, and provides progress updates. The role also offers expert advice and guidance, supports customer and business needs, and helps build commitment to recommended approaches.

The position is located at 811 Excellence Dr, Bentonville, AR 72716. The employer 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 will accept any amount of experience with the listed required skills. Pay is $109,699 to $180,000 per year, with additional annual or quarterly performance incentives.

Requirements

• 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.
• 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 in 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 conducting 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 will accept any amount of experience with the required skills.

Responsibilities

• Identify options to address business problems through analytics, big data analytics, and automation.
• Support development of business cases and recommendations.
• Own delivery of assigned project activities and tasks.
• Support process updates and changes and solve business issues.
• Document and implement data governance practices.
• Apply defined strategy principles to routine business problems involving a single function.
• Extract data from identified databases and create pipelines that transform data into a structure relevant to the problem.
• Help identify suitable, fit-for-purpose data sources and perform initial data quality checks.
• Analyze complex data elements, systems, data flows, dependencies, and relationships to contribute to conceptual, physical, and logical 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 to create data model structures.
• Evaluate existing data models and physical databases for variances and discrepancies.
• Develop efficient data flows and analyze data-related system integration challenges, proposing appropriate solutions.
• Create training documentation and train end users on data modeling.
• Oversee tasks of less experienced programmers and provide system troubleshooting support.
• Write code to develop solutions and application features based on business, technical, and data requirements.
• Create test cases, proofs of concept, and tests for proposed solutions and code.
• Deploy software to production servers.
• Document code, maintain playbooks, and provide timely progress updates.
• Provide expert advice and guidance, support customer and business needs, and build commitment for perspectives and rationales.

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, and voting time.
• Short-term and long-term disability.
• Education assistance, including company-paid college degrees.
• Company discounts.
• Military service pay.
• Adoption expense reimbursement.
• Annual or quarterly performance incentives.

What This Job Offers

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