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Data Engineer IV; Hybrid

Job in Scottsdale, Maricopa County, Arizona, 85261, USA
Listing for: 6AM City, LLC
Full Time position
Listed on 2026-06-18
Job specializations:
  • Engineering
    Data Engineering
Salary/Wage Range or Industry Benchmark: 67 - 75 USD Hourly USD 67.00 75.00 HOUR
Job Description & How to Apply Below
Position: Data Engineer IV (Hybrid)

Job Description

Data Engineer IV (Hybrid)

We have an immediate need for a contract Data Engineer IV / Technical Lead Data Engineer to join our client, a national chain of convenience stores and gas stations. The Data Engineer IV will spearhead the design, development, and implementation of data solutions aimed at empowering the organization to derive actionable insights from intricate datasets. You will take the lead in guiding a team of data engineers, fostering collaboration with cross-functional teams, and spearheading initiatives geared towards fortifying data infrastructure, CI/CD pipelines, and analytics capabilities.

Location:
Tempe, Arizona (Hybrid)

This job expects to pay about $67 - 75 per hour plus benefits.

What You Will Do:

  • Apply advanced knowledge of Data Engineering principles, methodologies and techniques to design and implement data loading and aggregation frameworks across broad areas of the organization.
  • Gather and process raw, structured, semi-structured and unstructured data using batch and real-time data processing frameworks.
  • Implement and optimize data solutions in enterprise data warehouses and big data repositories, focusing primarily on movement to the cloud.
  • Drive new and enhanced capabilities to Enterprise Data Platform partners to meet the needs of product / engineering / business.
  • Build enterprise systems using Databricks, Snowflake and platforms like Azure, AWS, GCP etc.
  • Leverage strong Python, Spark, SQL programming skills to construct robust pipelines for efficient data processing and analysis.
  • Implement CI/CD pipelines for automating build, test, and deployment processes to accelerate the delivery of data solutions.
  • Implement data modeling techniques to design and optimize data schemas, ensuring data integrity and performance.
  • Drive continuous improvement initiatives to enhance performance, reliability, and scalability of our data infrastructure.
  • Collaborate with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
  • Implement best practices for data governance, security, and compliance to ensure the integrity and confidentiality of our data assets.

Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.

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