Park Place Technologies

Associate Data Engineer

Posted Yesterday

Highland Heights, OH, USA

Hybrid

Junior

Hardware • Information Technology

The Role

Design, implement, and maintain data pipelines in Azure Synapse using Spark, Python, SQL and C#. Collaborate with Business Analysts and testers, troubleshoot data issues, use Azure DevOps and Git, and develop ML skills with Azure ML and OpenAI.

Summary Generated by Built In

Associate Data Engineer

The Associate Data Engineer is responsible for collecting, managing, and converting raw 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.

What you’ll be doing:

Implement pipelines to move raw data in Azure Synapse using spark, python, SQL and C# in line with well-established architectural standards related to Data Warehouse and Data Lakehouse modeling standards.
Develop machine learning and regression analysis skills in spark-python-pandas, openai and Azure ML.
Employ Azure Devops and Git in line with the Software Development Life Cycle best practices.
Interpret requirements provided by Business and Data Analysts.
Act as a liaison with Business Analysts and Testing teams to promote smooth development execution.
Triage and troubleshoot perceived data aberrations submitted by the user community.
Other duties as assigned.

What we’re looking for:

2+ years of practical or collegiate experience (or equivalent) in Python related to data engineering (spark, pandas, etc).
2+ years of practical or collegiate experience (or equivalent) in SQL related to data engineering (or equivalent collegiate experience / certifications).
Solid understanding of the Software Development Life Cycle.
Good data analytics background.
Motivated individual looking to expand their knowledge in all areas of Data Engineering, Analytics and AI.

Bonus Points:

Microsoft Cloud Certification
Familiarity with machine Learning and AI

Education:

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

Travel:

<10%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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Skills Required

2+ years practical or collegiate experience in Python for data engineering (Spark, pandas)
2+ years practical or collegiate experience in SQL related to data engineering
Experience implementing data pipelines in Azure Synapse and data lake/warehouse modeling
Experience with C# for data engineering tasks
Experience with Azure DevOps and Git following SDLC best practices
Solid understanding of the Software Development Life Cycle (SDLC)
Good data analytics background
Bachelor's degree or relevant certifications and equivalent years of experience
Microsoft Cloud Certification
Familiarity with machine learning and AI (Azure ML, OpenAI)

Park Place Technologies Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Park Place Technologies and has not been reviewed or approved by Park Place Technologies.

Healthcare Strength — Healthcare coverage is presented as at‑market or better, with comprehensive medical, dental, and vision offerings for employees and families. Wellness resources and employer‑verified benefit listings reinforce strong core coverage.
Retirement Support — A 401(k) program is emphasized, with indications of employer matching that strengthen retirement readiness. Public benefits materials point to a solid retirement foundation.
Wellbeing & Lifestyle Benefits — Wellbeing programs span a global wellness portal, biometric screenings, yoga, smoking‑cessation support, and on‑site amenities at the Cleveland HQ. Onsite childcare and wellness rooms further signal investment in everyday wellbeing where available.