Principal Data Engineer

Walmart • Bentonville, AR

1d • $129,314 - $220,000 • Onsite

About The Position

The Principal Data Engineer translates and co-owns business problems within their discipline, identifying appropriate data-related or mathematical methods and tools and explaining how they can address business needs. The role provides expert guidance and recommendations to stakeholders, develops business cases, translates requirements into projects and tasks aligned with business strategy, and connects business needs with practical solutions and results.

The position identifies suitable data sources, supports prioritization of requirements and service-level agreements, and performs initial data-quality checks. It develops graphical representations of data and model outcomes, designs representations for multiple data sets, collaborates with user-experience and user-interface teams on front-end applications, and communicates findings to technical and business audiences. The role also guides junior associates in data storytelling.

Responsibilities include promoting and managing data quality, profiling and validating data, monitoring data quality against service-level agreements, managing data-quality procedures and issues, leading cleansing activities, managing user access, and interpreting company and regulatory policies. The role collects and evaluates data for exploratory analysis, supports statistical technique selection, participates in research project planning and implementation, and recommends statistical models based on hypotheses.

The role requires experience with object-oriented programming and data engineering technologies, cloud-based ETL and data warehousing, data visualization and analytics, retail and digital advertising metrics, automation, data formats, and cloud computing resources. The employer will accept any amount of experience with the listed required skills. The position is located at 811 Excellence Dr, Bentonville, AR 72716.

Requirements

• Master’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field plus 3 years of software engineering or related experience; OR 7 years of software engineering or related experience; OR Bachelor’s degree or equivalent in Computer Science, Information Technology, Engineering, or a related field plus 5 years of software engineering or related experience.
• Experience coding in object-oriented languages and technologies including Python, SQL, PySpark, HTML, and Scala.
• Experience designing, building, and maintaining ETL pipelines using Hadoop, Apache Spark, Hive, and BigQuery on cloud platforms such as GCP, AWS, or Azure.
• Experience with data warehousing and large-scale storage and analytics using Amazon Redshift, Teradata, S3, and BigQuery.
• Experience using SQL, Spark SQL, and NoSQL for data manipulation and retrieval.
• Experience with script automation, identifying bottlenecks, and architecting automated pipelines and query optimizations.
• Experience with retail and digital advertising KPIs, including CTR and impressions, and interpreting HTML and cookies from the backend.
• Experience using JIRA, GitHub, and project-management tools for sprint planning, backlog management, progress tracking, and dashboards.
• Experience developing dashboards using Power BI, Tableau, and Medallia; designing surveys, defining KPIs, and improving email response rates.
• Experience with hypothesis testing, A/B testing, and machine-learning models such as forecasting and regression using Python libraries including Scikit-learn, Pandas, Matplotlib, and Seaborn.
• Experience parsing, cleansing, and querying unstructured data in formats such as Parquet, JSON, TXT, and CSV.
• Experience managing Amazon EC2 instances for scalable cloud computing resources.
• Experience collaborating with cross-functional teams, contributing to a technical community, and mentoring junior engineers.
• The employer will accept any amount of experience with the required skills.

Responsibilities

• Translate and co-own business problems and identify data-related or mathematical methods and tools to solve them.
• Provide expert advice and guidance, share use cases, and support action plans aligned with customer and business needs.
• Recommend solutions for complex business issues and develop business cases with projected returns on investment or cost savings.
• Translate business requirements into projects, activities, and tasks aligned with business strategy; connect business needs with tangible solutions.
• Identify suitable data sources, support prioritization of requirements and service-level agreements, and perform initial data-quality checks.
• Generate graphical representations of data and model outcomes and design data representations for multiple data sets.
• Collaborate with user-experience designers and user-interface engineers to build front-end applications as required.
• Present data to business and technical audiences, tailor communication to stakeholders, and mentor junior associates on data storytelling.
• Promote data-quality awareness; profile, analyze, assess, test, validate, measure, and monitor data quality.
• Manage data-quality procedures and service-level agreements, resolve data-quality issues, lead data cleansing, and remove or restrict user access as needed.
• Interpret company and regulatory policies on data and educate others on data governance processes, practices, policies, and guidelines.
• Collect and tabulate data, evaluate accuracy, validity, and applicability, and support the selection and application of statistical techniques.
• Assist in planning, designing, and implementing exploratory data analysis research projects; understand existing statistical models and recommend models based on hypotheses.
• Collaborate with cross-functional teams, contribute to the technical community, and mentor junior engineers.

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 100% 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: Principal