Data Engineer II

RESPONSIBILITIES:
A client with Kforce is seeking a Data Engineer II to join their team in Mountain View, CA. This is a hybrid opportunity, onsite 3 times a week.

Duties:
* Data Engineer II will be responsible for developing and translating computer algorithms into prototype code and maintaining, organizing, and identifying trends in large data sets
* Develop technical solutions to improve access to data and data usage
* Understand data needs and advise company on technological resources
* Aggregate and analyze various data sets to provide actionable insight
* Develop reports, dashboards, and tools for business-users
* Design, build, and maintain scalable data pipelines using Databricks and Spark, ensuring optimal data extraction, transformation, and loading from diverse data sources
* Employ robust data modeling techniques to develop and optimize databases and large-scale processing systems
* As a Data Engineer II, you will ensure high-quality data reliability and streamline data flow to support advanced querying and analytics
* Collaborate with data scientists and architects to enhance system performance and data integrity
* Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
* Troubleshoot and debug issues in data models, guaranteeing high performance and accessibility of our data systems
* Use GitHub for version control, ensuring efficient collaboration and codebase management within our development teams

REQUIREMENTS:
* Bachelor's degree in Computer Science, Information Technology, or a related field or equivalent experience
* Minimum of 3-4 years of experience as a Data Engineer
* Experienced in building and maintaining data pipeline architectures
* Strong familiarity with GitHub for version control and collaborative development
* Familiarity with the computer coding languages Python, Java, Kafka, Hive, or Storm may be required to oversee real-time business metric aggregation, data warehousing and querying, schema and data management, and related duties
* Should have knowledge of algorithms, data structures, and performance optimism and experience with processing and interpreting data sets
* Proficiency in Databricks, Spark, SQL, and Python-must have solid experience in scripting and data manipulation
* Excellent problem-solving and analytical skills
* Strong written and verbal communication skills
* Ability to work effectively in a team environment
* Ability to work independently and on teams

Preferred:
* Experience with cloud services like AWS, Azure, or Google Cloud Platform

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.

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