Senior, Data Engineer - Backend - Data Ventures
Walmart
What you'll do at
Position Summary...
What you'll do...
At Walmart, we help people save money, so they can live better. This mission serves as the foundation for
every decision we make and drives us to create the future of retail. We can’t do that without the best talent –
talent that is innovative, curious, and driven to create exceptional experiences for our customers.
Do you have boundless energy and passion for engineering data used to solve dynamic problems that will
shape the future of retail? With the sheer scale of Walmart’s environment comes the biggest of big data sets.
As a Walmart Data Engineer, you will dig into our mammoth scale of data to help unleash the power of retail
data science by imagining, developing, and maintaining data pipelines that our Data Scientists and Analysts
can rely on. You will be responsible for contributing to an orchestration layer of complex data transformations,
refining raw data from source into targeted, valuable data assets for consumption in a governed way. You will
partner with Data Scientists, Analysts, other engineers and business stakeholders to solve complex and
exciting challenges so that we can build out capabilities that evolve the retail business model while making a
positive impact on our customers’ lives.
About Data Ventures:
Data Ventures exists to unlock the full value of Walmart’s data by developing and productizing B2B data initiatives that empower merchants and suppliers to make better, faster decisions for the business. As part of this transformation, we’re seeking entrepreneurial individuals to help drive data productization from concept to deployment.
You’ll make an impact by:
- Data Strategy: Understands, articulates, and applies principles of the defined strategy to routine
business problems that involve a single function. - Data Transformation and Integration: Extracts data from identified databases. Creates data
pipelines and transform data to a structure that is relevant to the problem by selecting appropriate
techniques. Develops knowledge of current analytics trends. - Data Source Identification: Supports the understanding of the priority order of requirements and
service level agreements. Helps identify the most suitable source for data that is fit for purpose. - Performs initial data quality checks on extracted data.
- Data Modeling: Analyses complex data elements, systems, data flows, dependencies, and
relationships to contribute to conceptual, physical, and logical data models. - Develops the Logical Data Model and Physical Data Models including data warehouse and data mart designs.
- Defines relational tables, primary and foreign keys, and stored procedures to create a data model
structure. Evaluates existing data models and physical databases for variances and
discrepancies. Develops efficient data flows. Analyses data-related system integration challenges
and proposes appropriate solutions. - Code Development and Testing: Writes code to develop the required solution and application
features by determining the appropriate programming language and leveraging business,
technical and data requirements. Creates test cases to review and validate the proposed solution
design. Creates proofs of concept. Tests the code using the appropriate testing approach. Deploys software to production servers. Contributes code documentation, maintains playbook,
and provides timely progress updates. - Problem Formulation: Translates business problems within one's discipline to data related or
mathematical solutions. Identifies what methods (for example, analytics, big data analytics,
automation) would provide a solution for the problem. - Shares use cases and gives examples to demonstrate how the method would solve the business problem.
- Applied Business Acumen: Provides recommendations to business stakeholders to solve
complex business issues. Develops business cases for projects with a projected return on
investment or cost savings. Translates business requirements into projects, activities, and tasks
and aligns to overall business strategy. Serves as an interpreter and conduit to connect business
needs with tangible solutions and results. Recommends new processes and ways of working. - Data Governance: Establishes, modifies, and documents data governance projects and
recommendations. Implements data governance practices in partnership with business
stakeholders and peers. Interprets company and regulatory policies on data. Educates others on
data governance processes, practices, policies, and guidelines. Provides recommendations on
needed updates or inputs into data governance policies, practices, or guidelines. - Demonstrates up-to-date expertise and applies this to the development, execution, and improvement of action plans by providing expert advice and guidance to others. Supporting and aligning efforts to meet customer and business needs and building commitment for perspectives
and rationales. - Provides and supports the implementation of business solutions by building relationships and
partnerships with key stakeholders. Identifying business needs, determining, and carrying out
necessary processes and practices. - Promotes and supports company policies, procedures, mission, values, and standards of ethics
and integrity by training and providing direction to others in their use and application, ensuring
compliance with them. - Ensures business needs are being met by evaluating the ongoing effectiveness of current plans,
programs, and initiatives. Applying suggestions for improving efficiency and cost effectiveness;
and participating in and supporting community outreach events. - Creates training documentation and trains end-users on data modeling. Oversees the tasks of
less experienced programmers and stipulates system troubleshooting supports. - Drives the execution of multiple business plans and projects by identifying customer and
operational needs. Developing and communicating business plans and priorities, removing
barriers and obstacles that impact performance. Providing resources, identifying performance
standards, measuring progress, and adjusting performance accordingly. Developing contingency
plans and demonstrating adaptability and supporting continuous learning.
You’ll sweep us off our feet if:
- You have consistently high standards, your passion for quality is inherent in everything
- Well versed with Hadoop, Spark, Cloud, Python/Scala and Java, Streaming, Kafka,
Backend, J2EE. - You evangelize an extremely high standard of code quality, system reliability, and performance
- You have a proven track record coding with at least one programming language (e.g., Scala,
Python) - You’re experienced in one of cloud computing platforms (e.g., GCP, Azure)
- You’re skilled in data modeling & data migration protocols
- Experience with GCP, Datawarehousing, BI preferred
- Experience with the integration tools like Automic, Airflow
You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
For information about PTO, see https://one.walmart.com/notices.
Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
Sunnyvale, California US-04397:The annual salary range for this position is $117,000.00-$234,000.00
Bentonville, Arkansas US-10735:The annual salary range for this position is $90,000.00-$180,000.00
Additional compensation includes annual or quarterly performance bonuses.
Additional compensation for certain positions may also include:
- Stock
Minimum Qualifications...
Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.
Option 1: Bachelor’s degree in Computer Science and 3 years' experience in software engineering or related field. Option 2: 5 years’ experience insoftware 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.