RESPONSIBILITIES:
Kforce has a client that is seeking Data Engineer (production Support) Engineer in San Francisco, CA (4 days onsite Monday to Thursday) for a 6-12 months long term contract. The Data Engineer will have on-call responsibilities and will be responding quickly to urgent issues. They must be able to coordinate well with both onsite and offshore team members. The Data Engineer must look to not only fix issues, but create long-term solutions, and must continuously improve processes through automation, performance tuning, and reducing manual effort.
Responsibilities:
* Perform independently and guide, assist, and mentor others in analyzing, debugging, testing, documenting, and installing solutions
* Provide prioritization, planning, estimating, work assignments, quality assurance and mentoring at any stage of a project
* Responsible for communicating to management on status, problems, issues and underlying process problems
* Document and present solution alternatives, which improve processes and business objectives
* Track progress and intervene as needed to eliminate barriers and ensure delivery
* Demonstrate anticipation and initiative in the planning for and management of problems
* Resolve or escalate problems and manage risk for both development and production support
* Coordinate with vendors and contractors for specific projects or issues
* Review the technical work of other team members and provide thoughtful feedback
* Ensure adherence to technology standards and methods
* Maintain deep knowledge and awareness of technical & industry best practices and trends
* Work with business users to understand requirements and assist them in issue resolution
* Ensure that good business relationships are maintained with internal clients and other IT departments through excellent customer service and communication
REQUIREMENTS:
* 5 years of experience as a professional software engineer, preferably with experience working in a production support environment
* 1-2 years of experience with Data Bricks
* If no formal production support experience, must have experience supporting/taking ownership of their own dev work through a warranty program of sorts, supporting/troubleshooting and working with business partners and end users to solve issues, etc.
* Experience with Azure/Spark in the Cloud environment; Digging into the Data in Azure, troubleshoot different tables, troubleshoot ingested code, etc.; Experience with Real time integrations - Streaming data into Spark (Casca and Storm)
* Snowflake experience
* Scala Engineering experience (writing code, Batch processing (Scala ETL) for non-urgent data, etc.); If they do not have Scala, would need to come with Java experience
* Experience with Snowflake or compatible data warehouse experience
* Basic knowledge/understanding of Kafka messaging and data streaming services
* Strong SQL scripting experience
* Knowledge in Kafka
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.