Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Apply Offsite

Park Place Technologies

Sr. AI Data Engineer

Pay: Not specified

Posted: 2 days ago

Location: Highland Heights, OH (Onsite)

Last Updated: 2 hours ago

Hours: Full-Time

Expires: 10/16/2026

Career Insights for Artificial Intelligence Engineer (General)

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Ohio data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$120,479 / year median in Ohio

Explore Career

Job Description

Sr. AI Data Engineer at Park Place Technologies Sr. AI Data Engineer at Park Place Technologies in Highland Heights, Ohio Posted in 31 minutes ago.

Type:

Full-Time Job Description:

Senior Data Engineer The Senior Data Engineer is responsible for collecting, designing, and converting complex data into information that can be interpreted by Data Scientists and Business Analysts. Data accessibility is the ultimate goal, which enables our organization to utilize data for performance evaluation and optimization. As a Senior Data Engineer, one of your primary responsibilities is to guide and mentor junior Data Engineers to ensure they have the necessary skills and knowledge to perform their tasks effectively. This includes setting up guardrails and protocols that help the team achieve their goals efficiently while maintaining the quality of their work. Your role is crucial in ensuring the team's success, as you play a significant part in streamlining their workflow and maximizing their productivity. What you'll be doing: Implementing pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with established architectural standards related to Data Warehouse and Data Lakehouse modeling standards. Developing machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML. Mentoring other members of the Data Engineering team, specifically those in a junior role Work closely with Data Analysts and Business Analysts to clarify their requirements and provide clear guidance on the execution process. Providing peer review support to work produced by others, confirming use of relevant coding standards. Demonstrate mastery of the Software Development Life Cycle. What we're looking for: 4+ years of experience in Python development related to data engineering (spark, pandas, etc.). 4+ years of experience in SQL related to data engineering. Experience in designing and implementing complex data pipelines ensuring data quality & consistency. Solid understanding of data warehouse and delta lake design concepts Solid data analytics background Solid understanding of the

Software Development Life Cycle Bonus Points:

Microsoft Cloud Certification Familiarity with Machine Learning and AI Web Development is a plus.

Education:

Bachelor's Degree or Relevant Certifications & equivalent years of experience