Senior Data Engineer

RESPONSIBILITIES:
Kforce has a client that is seeking a Senior Data Engineer in New York, NY.

Job Summary:
We are seeking a Senior Data Engineer with a strong background in software development and machine learning engineering to design, build, and optimize scalable data pipelines and infrastructure. This role is critical in enabling advanced analytics, AI/ML initiatives, and data-driven decision-making across the organization. You will work closely with data scientists, ML engineers, and software developers to deliver production-grade data products and intelligent systems.

Key Responsibilities:
* Senior Data Engineer will design and build robust, scalable, and efficient data pipelines to support analytics and machine learning workflows
* Develop and maintain data models, ETL/ELT processes, and data lake/data warehouse architectures
* Collaborate with ML engineers to productionize machine learning models, ensuring efficient integration with data infrastructure
* Build and maintain CI/CD pipelines for data and ML workflows, ensuring automation and reproducibility
* Write clean, modular, and testable code using software engineering best practices (e.g., version control, code reviews, automated testing)
* As a Senior Data Engineer, you will monitor data systems for reliability, performance, and data quality; implement monitoring and alerting solutions
* Work cross-functionally with data scientists, analysts, and product teams to understand data needs and deliver solutions
* Contribute to architectural decisions, technology evaluations, and mentoring junior engineers

REQUIREMENTS:
* Bachelor's or Master's degree in Computer Science, Engineering, or a related field
* 5+ years of experience in data engineering, software engineering, or ML engineering roles
* Experience with distributed data processing frameworks such as Spark, Flink, or Beam
* Experience with software development practices: Git, unit testing, CI/CD, containerization (Docker, Kubernetes)
* Deep knowledge of data warehousing technologies (e.g., Snowflake, BigQuery, Redshift) and SQL
* Solid understanding of machine learning workflows, including model training, versioning, deployment, and monitoring
* Familiar with LLM and its ecosystem
* Familiarity with cloud platforms (AWS, Google Cloud Platform, or Azure) and tools like Airflow, dbt, Terraform
* Proficiency in programming languages such as Python, Java, or Scala
* Strong written and verbal communication skills

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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