Data Engineer III

Location: Redbird AR Bentonville Home Office, 2403 SE J St, Bentonville, Arkansas, United States

Salary: $90,000–$180,000 annual salary, plus performance-based bonuses and possible stock compensation

Company

hirify.global operates an external data engineering team that integrates and transforms extensive datasets to support strategic data intelligence, business insights, and operational efficiency.

What you will do

• Design, develop, and maintain scalable data pipelines and ETL processes for business analytics and reporting.
• Collaborate with cross-functional teams to identify data requirements and translate them into data models and solutions.
• Implement data integration and ingestion strategies using Apache Spark, cloud platforms, data lakes, Kafka, and Spark Structured Streaming.
• Ensure data quality, governance, security, and compliance with regulatory standards throughout the data lifecycle.
• Optimize data storage, transformation, and retrieval for performance and scalability.
• Develop and test data-processing code and support deployment, documentation, and continuous improvement.

Requirements

• One of the following: a bachelor's degree in Computer Science and 2 years of experience in software engineering or a related field; 4 years of experience in software engineering or a related field; or a master's degree in Computer Science.
• Extensive experience in data engineering across multiple platforms.
• Strong proficiency in Scala and Apache Spark for data processing, analytics, and scalable pipeline development.
• Practical experience with Google Cloud Platform services including BigQuery, Google Cloud Storage, and Dataproc.
• Experience with near real-time data ingestion using Kafka and Spark Structured Streaming.
• Strong working knowledge of SQL and NoSQL systems and in-depth understanding of data warehousing concepts and best practices.
• Proficiency with Git/version control, CI/CD pipelines, Airflow or similar workflow schedulers, and large-scale datasets.
• Familiarity with Tableau or Looker.

Nice to have

• Hands-on exposure to Generative AI and Agentic AI.
• Data engineering, database engineering, business intelligence, or business analytics experience.
• A master's degree in Computer Science or a related field together with 2 years of experience in software engineering or a related field.
• Knowledge of WCAG 2.2 AA standards, assistive technologies, digital accessibility best practices, and inclusive digital product development.

Culture & Benefits

• Full-time employment with medical, vision, and dental coverage.
• 401(k), stock purchase opportunities, company-paid life insurance, and potential stock compensation.
• Paid time off including sick leave, parental leave, family care leave, bereavement, jury duty, and voting leave.
• Short- and long-term disability coverage, company discounts, military leave pay, and adoption and surrogacy expense reimbursement.
• Walmart-paid education benefits may cover tuition, books, and fees for programs ranging from high school completion to bachelor's degrees, English language learning, and short-form certificates.
• Continuous learning and innovation are encouraged within a data-driven environment focused on data governance, security, compliance, and operational excellence.