Job Description
Title : Data Engineer
Location : MUST BE LOCAL to Scottsdale, AZ or Anchorage, AK
Type : 3 Month Contract-to-Hire
Position Overview
Our client is looking for a skilled Data & Analytics Engineer with expertise in data engineering, ETL processes, and enterprise application integration. This role will focus on developing and managing scalable data pipelines, optimizing system integrations, and improving data workflows to enhance business intelligence and efficiency. The engineer will collaborate closely with analytics and business teams to support data-driven decision-making. The ideal candidate will have experience with reporting and analytics tools, allowing them to generate meaningful insights and align solutions with business needs. A strong technical background, the ability to engage with various stakeholders, and a passion for building scalable data solutions are key attributes for success in this role.
Key Responsibilities
Data Engineering & ETL / ELT Development
- Design, implement, and refine data pipelines for ETL / ELT processes to ensure smooth data movement and transformation.
- Build reusable data models and workflows using SQL, Python, and Databricks.
- Keep up with modern data engineering methodologies and introduce innovative solutions to enhance efficiency.
- Develop and maintain integrations between Databricks and enterprise systems, including ERP applications.
Application Integration & ERP Optimization
Lead the integration of enterprise applications, including ERP systems such as Oracle, Deltek, and Vista Viewpoint.Use middleware tools, including Oracle Integration Cloud (OIC), to enable seamless automation and data flow between systems.Work with APIs and develop scalable code for system interactions.Ensure efficient integrations between Databricks and enterprise applications to support operational needs.Data Governance & Optimization
Maintain data accuracy, security, and reliability through strong governance practices.Optimize data storage and retrieval processes in Oracle and SQL Server databases.Enhance ERP data processing within Databricks to improve analytics and reporting.Business Analysis & Collaboration
Work with stakeholders to understand business challenges and translate them into technical solutions.Analyze data to generate actionable insights for strategic decision-making.Utilize advanced Excel and Power BI for reporting, data modeling, and visualization.Document business requirements, data workflows, and integration processes to ensure transparency and scalability.Problem-Solving & Continuous Learning
Diagnose and resolve issues related to data engineering and application integration.Stay current with industry trends in data engineering, ETL / ELT, and system integrations.Foster a growth mindset, continuously improving skills through experimentation, research, and collaboration.Identify and resolve complex data challenges with creative problem-solving approaches.Qualifications
Required :
Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field.3-5 years of experience in data engineering, ETL / ELT development, and system integration.Strong expertise in SQL, Python, Databricks, and automation technologies.Knowledge of data warehouse design methodologies (Kimball) and experience with Databricks and serverless SQL solutions.Proficiency in Oracle and SQL Server databases.Experience with data analysis tools such as Excel and Power BI.Preferred :
Experience with ERP systems like Oracle, Deltek, and Vista Viewpoint, as well as Oracle Integration Cloud (OIC).Familiarity with data governance, security practices, and architectural best practices.Certifications in Databricks, Oracle Integration Cloud, Oracle / SQL Server databases, or related technologies.Additional Skills
Strong analytical thinking and ability to work with complex data sets.Excellent communication skills to collaborate with business and technical teams.Ability to troubleshoot and resolve data-related challenges efficiently.Work Environment & Expectations
Office-based role with occasional travel as needed.Standard office setting with moderate noise levels.Some lifting (up to 25 lbs) may be required.Position does not create an employment contract and is subject to change as business needs evolve.To find more great tech-centric jobs, please visit www.phoenixstaff.com.
