Senior Data Engineer

Immediate need for a talented Senior Data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Irving, TX (Onsite). Please review the job description below and contact me ASAP if you are interested.
 
Job ID: 25-78828
 
Pay Range: $70 - $75/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

• Lead the design, architecture, and implementation of key data initiatives and platform capabilities while ensuring alignment with business needs and scalability requirements.
• Optimize existing data workflows and systems to improve performance, cost-efficiency, identifying and guiding teams to implement innovative solutions.
• Lead and mentor junior data engineers, providing guidance on technical best practices, career development, and initiative execution.
• Lead cross-functional projects, collaborating with product managers, analysts, solutions architects, and other stakeholders to define requirements, prioritize tasks, and deliver high-quality solutions.
• Communicate effectively with non-technical stakeholders to understand business needs, translate them into technical specifications, and present technical concepts in a clear and concise manner.
• Stay up-to-date with the latest data engineering technologies, trends, and best practices, evaluating and recommending new tools and approaches to immediate teams and the broader organization.
• Contribute to the development of data engineering standards, processes, and documentation, promoting consistency and maintainability across teams while enabling business stakeholders.

Key Requirements and Technology Experience:

• Key Skills: Strong SQL, Python, Spark/PySpark.
• Bachelor’s degree or equivalent in Computer Science, Mathematics, Software Engineering, Management Information Systems, Computer Engineering/Electrical Engineering, or any Engineering field or quantitative discipline such as Physics or Statistics.
• Minimum 6 years of relevant work experience in data engineering, with at least 2 years in a data modeling.
• Strong technical foundation in Python, SQL, Spark/Pyspark and experience with cloud platforms (for example, AWS, Azure,).
• Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies.
• Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI).
• Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.
• Good communication, interpersonal, and presentation skills, with the ability to effectively communicate with both technical and non-technical audiences.
• Experience with the Databricks platform.
• Experience with CDP platforms like HighTouch.
• Looking for: Great SQL, Python, and PySpark skills
• Preferably experienced with Databricks
• Demonstrated data architecting and pipelining skills.

Our client is a leading Retail Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
 
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