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Nebraska Furniture Mart, a Berkshire Hathaway Company, is the largest home furnishing store in North America selling furniture, flooring, appliances and electronics. NFM was founded in 1937 by Mrs. B (Rose Blumkin) in Omaha, Nebraska. In 1983, Mrs. B sold a majority interest to Berkshire Hathaway. NFM now has four stores, located in Omaha, Nebraska, Kansas City, Kansas, Des Moines, Iowa and The Colony, Texas.
At Nebraska Furniture Mart (NFM), we’ve been hiring friends since 1937—people who share our passion for helping customers feel right at home. If you share our vision, we invite you to be one of us! People love working here! Named one of Furniture Today’s Best places to work, and here a few reasons why: A FUN, stable work environment, with no layoffs in our history. A safe place to work and shop, development opportunities leading you to the career of your dreams and a culture that encourages volunteering and serving our communities.
Pay Range: $91,934-138,906.00 annually
Job Description: Your Piece of the Puzzle
As NFM’s Senior Cloud Engineer, is responsible for any technological duties associated with cloud computing, including design, planning, management, maintenance, and support and will be responsible for designing, building, and managing our cloud-based data infrastructure. This role will play a critical role in the development and optimization of NFM’s data lake, ensuring scalability, reliability, and security.
This is a remote position requiring the candidate to reside in one of the following states: NE, IA, MO, KS or TX.
Applicants must be currently authorized to work in the USA on a full-time basis. NFM will not sponsor applicants for work visas for this position.
Job Duties: A Day in the Life
Lead:Design and implement scalable and secure data solutions using Fabric OneLake technology
Manage: Develop and maintain scalable data pipelines and architectures that support data ingestion, processing, storage, and delivery across multiple sources and destinations
Oversee: Maintain knowledge of vendor technical solutions in the cloud space
CollaborateCreate data tools for analytics and data scientist team members to assist them in building and optimizing our product
Analyze Manage the full lifecycle and maintain the NFM cloud environment
Team Up: Assist the I.T. organization / teams with integrations into configuration management and deployment tools
Your work will directly impact our ability to help people create a lifestyle they love, for the people they love - because that’s what we love.
Qualifications: Can You Check These Boxes?
Bachelor’s degree in computer science, engineering, or a related field, or equivalent work experience
5+ years’ experience in network or systems administration or engineering
2+ years cloud experience
Proficiency in SQL and Python, and familiarity with other programming languages and frameworks such as Scala, R, or Spark
Experience with cloud-based data services and platforms such as Azure, AWS, or GCP, and with data warehouse and ETL tools such as Snowflake, SSIS, or Informatica
Knowledge of data modeling, data quality, data governance, and data security best practices and standards
Proven experience with Azure DataBricks, Azure Data Factory, and other Azure services
Strong analytic skills related to working with unstructured datasets
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with data pipeline and workflow management tools
Experience with Azure SQL DB, Cosmos DB, or other database technologies
Experience with stream-processing systems
Strong project management and organizational skills
Experience with Fabric OneLake development and management preferred
Knowledge of networking within Azure Data Bricks, including VNET settings and firewall rules preferred
Ability to set up linked services within Azure Data Factory and execute ADB notebooks preferred
Familiarity with on-premises to cloud data migration and managing data across hybrid environments preferred
Cloud Platforms: Proficient in Azure, including Azure DataBricks, Azure Data Factory, and Azure SQL Data Warehouse preferred
Programming Languages: Strong command of Python, Scala, and SQL preferred
Big Data Tools: Experience with Hadoop, Spark, Kafka, and other big data technologies preferred
Data Storage: Knowledge of various data storage solutions like Azure Blob Storage, Azure Data Lake Storage, and Cosmos DB preferred
Data Processing: Familiarity with data processing tools such as Azure Stream Analytics and Azure HDInsight preferred
DevOps Tools: Experience with CI/CD pipelines, using tools like Jenkins, Azure DevOps, or GitHub Actions preferred
Data Security: Understanding of data security practices, including encryption, data masking, and access control within cloud environments preferred
Monitoring and Logging: Proficiency in using monitoring tools like Azure Monitor and log analytics solutions like Azure Log Analytic preferred
Pre-employment screening includes, but isn’t limited to, criminal background check
Benefits: What’s in It for You?
As a full-time member of our NFM Family, you will enjoy:
Same day pay - access to your earned pay on-demand, when you need it the most
Competitive pay - generous annual increases up to 7%
Inclusive culture – Because everyone who works or shops at NFM should feel right at home
Health, dental, vision, life Insurance, short and long term disability
Paid holidays (upon hire) and paid time off (after 90 days)
Staff discount on merchandise (Collectively, NFM staff have saved almost $2 million on purchases in the last 12 months)
Virtual and in-person career development opportunities at all levels
Paid community volunteer opportunities
Tuition Reimbursement
You’ll start saving for your retirement immediately in NFM’s 401(k) and you’re eligible for company match after one year. NFM’s 401(k) also offers Berkshire Stock as an investment option
Nebraska Furniture Mart is an Equal Opportunity Employer
Required profile
Experience
Level of experience:Senior (5-10 years)
Industry :
Retail (Super / Hypermarket)
Spoken language(s):
English
Check out the description to know which languages are mandatory.