AI Data Engineer

UKG (Ultimate Kronos Group)

Lowell (MA)

Hybrid

USD 72,000 - 103,000

Full time

4 days ago

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Benefits offered by this job

Hybrid work model

Performance-based bonus

RSU awards

Job summary

UKG (Ultimate Kronos Group) is seeking an entry‑level Data & AI Engineer in Lowell, MA. You will help build data pipelines, analytics solutions, and AI-enabled capabilities, working with experienced engineers and business teams to deliver trusted datasets and reliable data flows.

The role emphasizes hands-on learning across SQL, Python, cloud services, and applied AI, with collaboration across data engineers, analysts, and stakeholders in a hybrid work setup.

Qualifications

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related field, or equivalent practical experience.
Foundational experience with SQL and Python from coursework, projects, internships, or work experience.
Understanding of databases, data structures, and basic data processing concepts.
Interest in cloud data platforms and artificial intelligence.
Strong problem-solving, communication, and teamwork skills.
Willingness to learn new tools and technologies.

Responsibilities

Build and maintain data ingestion and transformation pipelines.
Use SQL and Python to process, validate, and prepare data.
Assist in organizing data into trusted, reusable datasets used for reporting and analytics.
Support data quality checks, help investigate issues, and monitor pipeline performance.
Assist with developing and testing AI and machine learning solutions.
Work with cloud services and tools related to data storage, processing, and model development.
Document data flows, code, and technical processes.
Collaborate with data engineers, architects, analysts, and business partners.
Follow established standards for data security, governance, and software development.

Skills

SQL

Python

Teamwork

Problem solving

Communication

Education

Bachelor's degree

Tools

Google Cloud

AWS

Azure

Git

Job description

The Data & AI Engineer role supports the creation and ongoing operation of data pipelines, analytics solutions, and AI-enabled capabilities in an entry-level position. You will work alongside experienced engineers and business teams while building practical skills across data engineering, cloud platforms, and applied AI.

Role Overview

In this position, you will help build and support data pipelines, analytics solutions, and AI-enabled capabilities, contributing to trusted datasets and reliable data flows.

Responsibilities

Build and maintain data ingestion and transformation pipelines.
Use SQL and Python to process, validate, and prepare data.
Assist in organizing data into trusted, reusable datasets used for reporting and analytics.
Support data quality checks, help investigate issues, and monitor pipeline performance.
Assist with developing and testing AI and machine learning solutions.
Work with cloud services and tools related to data storage, processing, and model development.
Document data flows, code, and technical processes.
Collaborate with data engineers, architects, analysts, and business partners.
Follow established standards for data security, governance, and software development.

Requirements

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
Foundational experience with SQL and Python gained through coursework, projects, internships, or work experience.
Understanding of databases, data structures, and basic data processing concepts.
Interest in cloud data platforms and artificial intelligence.
Strong problem-solving, communication, and teamwork skills.
Willingness to learn new tools and technologies.

Preferred Qualifications

Exposure to a cloud platform such as Google Cloud, AWS, or Azure.
Familiarity with data warehouses, ETL/ELT pipelines, or orchestration tools.
Experience with Git and basic software development practices.
Exposure to machine learning concepts or AI tools.
Familiarity with data quality, metadata, or data governance concepts.

Technologies