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Kronos In Usa Jobs in New York (NOW HIRING)

Artius Solutions

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

USA - NY, SLC, TX, UT, Dallas, New York City (Onsite) Job Summary: We are seeking a Senior Data ... e.g., KDB+, TimeSet, Kronos). * Strong background in building both streaming and batch data ...

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Kronos In Usa information

What is the difference between Kronos In Usa vs Payroll Specialist?

AspectKronos In UsaPayroll Specialist
CertificationsOften requires Kronos-specific training or certificationsTypically requires payroll or HR certifications (e.g., CPP, FPC)
Work EnvironmentPrimarily in HR, payroll, or time management departmentsIn HR, finance, or payroll departments
Employer UsageUsed by companies for workforce management and time trackingUsed by organizations to process employee payroll and benefits
Search/Comparison IntentPeople comparing Kronos software roles or implementation jobsIndividuals looking into payroll processing careers or roles

While Kronos In Usa refers to roles involving Kronos workforce management software, Payroll Specialists focus on processing employee wages and benefits. Both roles may overlap in HR departments, but Kronos In Usa roles emphasize software implementation and management, whereas Payroll Specialists concentrate on payroll accuracy and compliance.

What challenges do Kronos specialists face in the USA, and how can they be managed?

Kronos specialists in the USA often encounter challenges such as adapting to frequent software updates, integrating Kronos with other HR and payroll systems, and ensuring compliance with federal and state labor laws. Managing these challenges involves staying current with Kronos training, collaborating closely with IT and HR teams, and maintaining clear communication with end-users to quickly address issues. Proactively participating in Kronos user communities and leveraging vendor support can also help specialists stay informed and troubleshoot problems efficiently.

What skills and qualifications are needed to work as a Kronos specialist in the USA?

To thrive as a Kronos Workforce Management Specialist, you need expertise in workforce management, payroll processes, and HR operations, often supported by a bachelor’s degree in business, HR, or IT. Familiarity with Kronos software (Workforce Central, Dimensions), timekeeping systems, and relevant certifications such as Kronos Certified Implementation Consultant are highly valued. Strong analytical skills, problem-solving abilities, and effective communication help professionals bridge technical and business needs. These competencies are crucial for optimizing workforce productivity, ensuring compliance, and supporting efficient HR and payroll operations.

What is a Kronos job in the USA?

Kronos jobs in the USA generally refer to positions that involve working with UKG (formerly known as Kronos), a company that provides workforce management and human capital management cloud solutions. Professionals in these roles may be responsible for implementing, maintaining, or supporting Kronos software used for timekeeping, scheduling, payroll, and HR functions in organizations. Typical job titles include Kronos Consultant, Kronos Administrator, and Kronos Analyst. These roles require knowledge of Kronos applications, configuration, troubleshooting, and sometimes integration with other HR or payroll systems. Experience with HRIS systems and strong analytical skills are often required.
What are popular job titles related to Kronos In Usa jobs in New York? For Kronos In Usa jobs in New York, the most frequently searched job titles are:
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Kronos In Usa jobs near you

Senior Data Engineer

Artius Solutions

New York, NY • On-site

$120K - $121K/mo

Full-time

Re-posted yesterday

Job description

Job Title: Senior Data Engineer
Location: USA – NY, SLC, TX, UT, Dallas, New York City (Onsite)

Job Summary:
We are seeking a Senior Data Engineer to design and develop scalable, high-performance data pipelines focused on time series data. The ideal candidate will have deep expertise in time series data platforms and strong proficiency in integrating data pipelines with machine learning workflows. This role involves collaboration with data scientists and ML engineers to ensure robust and efficient data systems that drive real-time and batch analytics.

Key Responsibilities:

  • Design, build, and optimize data pipelines to process large-scale time series data.

  • Develop scalable infrastructure using tools like KDB+, TimeSet, or Kronos.

  • Implement real-time and historical data ingestion and transformation workflows.

  • Integrate data systems with Python-based ML pipelines to support model training and inference.

  • Collaborate with cross-functional teams to ensure data availability, integrity, and performance.

  • Design data models and schemas tailored for time series data, including strategies for downsampling, indexing, and aggregation.

  • Monitor and fine-tune systems for reliability, scalability, and performance.

  • Implement best practices in data governance, lineage tracking, and system observability.

  • Mentor junior engineers in large-scale system architecture and distributed processing.

  • Work closely with product and infrastructure teams to align technical solutions with business objectives.

Requirements:

  • 5+ years of experience in data engineering, particularly in large-scale, high-throughput environments.

  • Proven experience with time series databases and storage solutions (e.g., KDB+, TimeSet, Kronos).

  • Strong background in building both streaming and batch data pipelines using tools like AWS Glue, Apache Kafka, Apache Flink, or Apache Spark.

  • Proficiency in Python and experience integrating with ML libraries such as pandas, NumPy, scikit-learn, and PyTorch.

  • Experience designing scalable, efficient data models and partitioning strategies for time series data.

  • Knowledge of distributed systems, parallel computing, and columnar data storage.

  • Familiarity with cloud-based data architectures (AWS, GCP, or Azure) and containerized environments.

  • Strong understanding of data quality, lineage, monitoring, and observability practices.

  • Excellent communication skills and the ability to work in a client-facing, collaborative environment.

Preferred Qualifications:

  • Experience with multiple time series systems (e.g., KDB+ and Kronos).

  • Contributions to open-source data infrastructure or time series projects.