Databricks Engineer | Data Engineer II - Top Secret Clearance
Indexed description
Work you'll do
As a Databricks Developer - Data Engineer II on the AI & Data team, you will be responsible for:
- Building ETL pipelines and creation and maintenance of tables in Databricks, with the support of tech lead
- Develop and maintain bronze, silver, & gold tables in Databricks with data from a multitude of sources
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Qualifications
Required:
- Bachelor's degree
- Active Top Secret clearance
- Must be able to obtain and maintain the required clearance for this role
- 2+ years of experience in data engineering, data integration, or data management, including 2+ years of experience with Structured Query Language (SQL)
- 2+ years of experience building or supporting extract, transform, and load (ETL) or extract, load, and transform (ELT) pipelines
- 2+ years of experience with Python and PySpark
- 1+ years of experience with Databricks and cloud-based data platforms, including data pipeline development and data transformation
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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