*Senior (Lead) Data Engineer *



*Responsibilities: *

· *Lead the design, development, and implementation of scalable data pipelines and ELT processes using Databricks, DLT, dbt, Airflow, and other tools. *

· *Collaborate with stakeholders to understand data requirements and deliver high-quality data solutions. *

· *Optimize and maintain existing data pipelines to ensure data quality, reliability, and performance. *

· *Develop and enforce data engineering best practices, including coding standards, testing, and documentation. *

· *Mentor junior data engineers, providing technical leadership and fostering a culture of continuous learning and improvement. *

· *Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to business operations. *

· *Stay up to date with the latest industry trends and technologies, and proactively recommend improvements to our data engineering practices. *



*Requirements:*

· *8+ years of experience in data engineering and/or architecture, with a focus on big data technologies. *

· *Extensive production experience with Databricks, Apache Spark, and other related technologies. *

· *Familiarity with orchestration and ELT tools like Airflow, dbt, etc. *

· *Expert SQL knowledge. *

· *Proficiency in programming languages such as Python, Scala, or Java. *

· *Strong understanding of data warehousing concepts. *

· *Experience with cloud platforms such as Azure, AWS, Google Cloud. *

· *Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. *

· *Strong communication and leadership skills, with the ability to effectively mentor and guide team members. *



*Preferred Qualifications: *

· *Experience with machine learning and data science workflows. *

· *Knowledge of data governance and security best practices. *

· *Certification in Databricks, Azure, Google Cloud or related technologies. *

Job Types: Full-time, Contract

Pay: $70.00 - $80.00 per hour

Benefits:
* Dental insurance
* Health insurance
* Vision insurance
Schedule:
* Day shift



Experience:
* Databricks: 3 years (Preferred)
* Spark: 3 years (Preferred)

Ability to Relocate:
* Kansas City, MO 64111: Relocate before starting work (Required)

Work Location: In person