Data Engineer

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Maven Companies, is seeking the following. Apply via Dice today!

Data Engineer (6+ Years relevant Experience needed)

Data Engineer with strong Analyst skills

Phoenix, Arizona.

Hybrid model (3 days a week in office)

Our project is data analysis heavy, and we are looking for someone who can grasp business functionality and translate that into working technical solutions.

We are seeking a Data Engineer with a minimum of 6 years in data engineering, data analysis, and data design. The ideal candidate will have strong hands‑on expertise in Python and relational databases such as Postgres, SQL Server, or MySQL. They should have a good understanding of data modeling theory and normalization forms.

• 6+ years of experience in data engineering, data analysis, and data design
• Approach as a data analyst in your previous/current role, and the methods or techniques you used to extract insights from large datasets
• Good proficiency in Python
• Formal training or education in data modeling (provide course, program, or certification details)
• Strong experience with relational databases:
  Postgres, SQL Server, or MySQL.
• Expertise in writing complex SQL queries and optimizing database performance
• Solid understanding of data modeling theory and normalization forms.
• Good communicator with the ability to articulate business problems for technical solutions.

• Analyze complex datasets to derive actionable insights and support business decisions.
• Model data solutions for high performance and reliability.
• Work extensively with Python for data processing and automation.
• Develop and optimize SQL queries for Postgres, SQL Server, or MySQL databases.
• Ensure data integrity, security, and compliance across all data solutions.
• Collaborate with cross‑functional teams to understand data requirements and deliver solutions.
• Communicate effectively with stakeholders and articulate business problems to drive technical solutions.

• Experience deploying applications in Kubernetes.
• API development using FastAPI or Django.
• Familiarity with containerization (Docker) and CI/CD tools.