Advanced Data Engineer at Kforce Inc in Cincinnati, Ohio

Job Description:

RESPONSIBILITIES:

Kforce has a client in Cincinnati, OH that is seeking an Advanced Data Engineer to join their team on a 6-month contract.

Summary:
As an Advanced Data Engineer, you will have the opportunity to lead the development of innovative data solutions, enabling the effective use of data across the organization. You will be responsible for designing, building, and maintaining robust data pipelines and platforms to meet business objectives, focusing on data as a strategic asset. Your role will involve collaboration with cross-functional teams, leveraging cutting-edge technologies, and ensuring scalable, efficient, and secure data engineering practices. A strong emphasis will be placed on expertise in GCP, Vertex AI, and advanced feature engineering techniques.

Key Responsibilities

• Provide Technical Leadership: Offer technical leadership to ensure clarity between ongoing projects and facilitate collaboration across teams to solve complex data engineering challenges


• Build and Maintain Data Pipelines: Design, build, and maintain scalable, efficient, and reliable data pipelines to support data ingestion, transformation, and integration across diverse sources and destinations, using tools such as Kafka, Databricks, and similar toolsets


• Drive Digital Innovation: Leverage innovative technologies and approaches to modernize and extend core data assets, including SQL-based, NoSQL-based, cloud-based, and real-time streaming data platforms


• Implement Feature Engineering: Develop and manage feature engineering pipelines for machine learning workflows, utilizing tools like Vertex AI, BigQuery ML, and custom Python libraries


• Implement Automated Testing: Design and implement automated unit, integration, and performance testing frameworks to ensure data quality, reliability, and compliance with organizational standards


• Optimize Data Workflows: Optimize data workflows for performance, cost efficiency, and scalability across large datasets and complex environments

REQUIREMENTS:

• 4+ years of professional Data Development experience


• 4+ years of experience with SQL and NoSQL technologies


• 3+ years of experience building and maintaining data pipelines and workflows


• 5+ years of experience developing with Java


• 2+ years of experience developing with Python


• 3+ years of experience developing Kafka solutions


• 2+ years of experience in feature engineering for machine learning pipelines


• Experience with GCP services such as BigQuery, Vertex AI Platform, Cloud Storage, AutoMLOps, and Dataflow


• Experience with CI/CD pipelines and processes


• Experience with automated unit, integration, and performance testing


• Experience with version control software such as Git


• Full understanding of ETL and Data Warehousing concepts


• Strong understanding of Agile principles (Scrum)

Additional Qualifications:

• Knowledge of Structured Streaming (Spark, Kafka, EventHub, or similar technologies)


• Experience with GitHub SaaS/GitHub Actions


• Experience understanding Databricks concepts


• Experience with PySpark and Spark development

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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