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Walmart

Sells groceries and essentials in stores and online

Principal Data Engineer

Data EngineeringUpdated on Oct 29
Full-timeBentonville, AR, USA$129.3k - $220k /yrIn-person

About the Job

Requirements

  • A Master's degree or equivalent in Computer Science, Information Technology, Engineering, or a related field plus 3 years of software engineering or related experience; 7 years of software engineering or related experience; or a Bachelor's degree or equivalent in those fields plus 5 years of software engineering or related experience.
  • Experience coding in object-oriented languages, including Python, SQL, PySpark, HTML, and Scala.
  • Experience designing, building, and maintaining ETL pipelines using Hadoop, Apache Spark, Hive, BigQuery, and cloud platforms such as GCP, AWS, or Azure to deliver scalable, secure, and reliable solutions.
  • Experience with data warehousing technologies including Amazon Redshift, Teradata, S3, and BigQuery for large-scale storage and analytics.
  • Experience using SQL, Spark SQL, and NoSQL for data manipulation and retrieval.
  • Experience automating scripts, identifying bottlenecks, and architecting solutions such as automated pipelines and query optimization.
  • Experience with retail and digital advertising KPIs, including click-through rate and impressions, and interpreting HTML and cookies from backend systems.
  • Experience using JIRA, GitHub, and project management tools for sprint planning, backlog management, and progress tracking with dashboards.
  • Experience developing dashboards with 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 for exploratory data analysis and insights.
  • Experience parsing, cleansing, and querying unstructured data in formats including Parquet, JSON, TXT, and CSV.
  • Experience managing Amazon EC2 instances for scalable cloud computing resources.
  • Any amount of experience with the required skills is accepted.

Responsibilities

  • Translate and co-own business problems within the discipline into data-related or mathematical solutions, identify appropriate methods and tools, and share use cases and examples demonstrating how the methods can solve business problems.
  • Apply up-to-date expertise to develop, execute, and improve action plans by advising and guiding others on information and best practices, supporting efforts to meet customer and business needs, and building commitment for perspectives and rationales.
  • Recommend solutions to complex business issues, develop business cases for projects with projected return on investment or cost savings, translate business requirements into projects, activities, and tasks aligned with business strategy, and develop domain-specific artifacts.
  • Connect business needs with tangible solutions and results, identify relevant business insights, and implement business solutions by building stakeholder relationships, identifying needs, carrying out processes, monitoring progress and results, recognizing improvement opportunities, and adapting to competing demands and organizational changes.
  • Support prioritization of requirements and service-level agreements, identify fit-for-purpose data sources, and perform initial data quality checks on extracted data.
  • Generate graphical representations of data and model outcomes, design data representations for multiple data sets based on customer requirements, and work with User Experience designers and User Interface engineers as needed to build front-end applications.
  • Present to and influence teams and business audiences using appropriate data visualization frameworks, conveying clear messages based on business and stakeholder understanding; adapt communication style to stakeholders and use rational arguments.
  • Guide and mentor junior associates on story types, structures, and techniques based on context.
  • Promote and educate others on data quality awareness; profile, analyze, assess, test, validate, measure, and monitor data quality; and deliver against data quality service-level agreements.
  • Manage operational data quality procedures, data quality issues, and data cleansing activities to remove defects, improve quality, and eliminate unused data.
  • Determine user accessibility 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 and evaluate results for accuracy, validity, and applicability; support selection and application of statistical techniques based on requirements; apply suitable techniques under leadership direction; assist in planning, designing, and implementing exploratory data analysis research projects; and understand existing statistical models and identify and recommend models based on hypotheses.
  • Collaborate with cross-functional teams, contribute to the technical community, and mentor junior engineers.

About the Company

Walmart

Sells groceries and essentials in stores and online

Walmart sells groceries, household essentials, clothing, and electronics through stores and online marketplaces for consumers around the world. Its everyday low price model combines large purchasing volumes with distribution networks that move goods to stores and customer homes. Shoppers can browse online, collect orders at a nearby store, or request delivery, while third-party merchants use its marketplace and fulfillment services to reach customers. The group earns revenue from merchandise sales, memberships, advertising, and services, and also operates pharmacies, optical centers, and digital payments businesses. Walmart opened its first discount store in 1962 and is headquartered in Bentonville, Arkansas.

Company size
10,001+
Company stage
IPO
Headquarters
Bentonville, AR
Founded
1962

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