Senior Data Engineer
BiorenderSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Retail, TechnologyIndustries
Requirements
- 4–6 years of hands-on experience building robust data solutions, with expertise in data modeling, warehousing, ETL processes, and distributed computing frameworks
- Strong proficiency in Scala and Spark for data processing, analytics, and building scalable pipelines
- Practical experience with Google Cloud Platform (GCP) services such as Big Query, GCS, and Data Proc, along with near real-time data ingestion using Kafka and Spark Structured Streaming
- Strong working knowledge of both SQL and NoSQL systems, with an in-depth understanding of data warehousing concepts and best practices
- Proficiency in Git/version control, CI/CD pipelines, workflow schedulers like Airflow, and working with large-scale data sets
- Familiarity with BI/visualization tools like Tableau or Looker
- Hands-on exposure to Generative AI (Gen AI), Agentic AI is a strong plus
Responsibilities
- Design and implement scalable, high-performance data pipelines to manage massive datasets
- Leverage cutting-edge technologies to ensure data accuracy, reliability, and efficiency
- Collaborate with cross-functional teams to deliver innovative, data-driven solutions
- Manage and optimize data pipelines for analytics and operational use
- Ensure data quality and governance across the data lifecycle
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What experience level is required for the Data Engineer III role?
The role requires 4–6 years of hands-on experience building robust data solutions.
What technical skills are essential for this position?
Key skills include strong proficiency in Scala and Spark, experience with Google Cloud Platform services like Big Query, GCS, and Data Proc, Kafka and Spark Structured Streaming, SQL and NoSQL systems, Git, CI/CD, Airflow, and familiarity with BI tools like Tableau or Looker.
What is the work arrangement for this role?
The position offers a flexible, hybrid work model with primary in-office presence coupled with virtual work, using campuses for collaboration as business needs require.
What is the team like at Walmart Global Tech?
The team is the last mile data services team within Data and Customer Analytics org, focused on ingesting, transforming, and analyzing data for Walmart's Last Mile platform to enable data-driven decisions. Walmart Global Tech is people-led and tech-empowered, consisting of software engineers, data scientists, and experts innovating at scale.
What makes a strong candidate for this Data Engineer III position?
A strong candidate has 4-6 years of experience in data solutions, expertise in Scala, Spark, GCP services, Kafka, SQL/NoSQL, and CI/CD tools, with hands-on exposure to Generative AI as a plus.
Walmart
Global retail chain offering affordable products
About Walmart
Walmart operates a chain of hypermarkets, discount department stores, and grocery stores, providing a wide variety of products at low prices to everyday consumers, families, and communities. The company combines physical retail locations with an e-commerce platform, allowing customers to shop for groceries, apparel, electronics, and household items both in-store and online. Walmart's efficient supply chain management and large-scale purchasing enable it to maintain affordability, setting it apart from competitors. The company also offers financial services and health and wellness services, including pharmacies and vision centers. Walmart's goal is to save people money and support communities, as demonstrated by its efforts during the COVID-19 pandemic and its commitment to social responsibility, including programs for veterans and military families.
Bentonville, ArkansasHeadquarters
1962Year Founded
$5,515MTotal Funding
IPOCompany Stage
Financial Services, Consumer GoodsIndustries
10,001+Employees
Benefits
PTO: Paid vacation, sick time, personal time and holiday time
10% discount on regularly priced general merchandise and fresh fruits and vegetables
6% 401(k) match to all employees, including hourly workers, after one year
Roth IRA available
Associate Stock Purchase Plan
maximum and eligible preventive care covered at 100%
Health reimbursement plans
Risks
Rising U.S. labor costs could pressure profit margins.
Amazon's grocery delivery expansion threatens Walmart's market share.
Fintech investments expose Walmart to financial regulatory risks.
Differentiation
Walmart's omnichannel strategy integrates physical and online retail seamlessly.
The company offers a wide range of products at consistently low prices.
Walmart's commitment to community support enhances its brand reputation.
Upsides
Walmart's investment in fintech expands its financial services offerings.
Robotics integration in distribution centers boosts operational efficiency.
Culturally themed product lines attract diverse customer segments.
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