Senior AI Data Engineer

🔥 12 hours ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Park Place Technologies

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

💼 Consulting

📦 Logistics

🏭 Manufacturing

Consulting • Logistics • Manufacturing

Park Place Technologies is a global IT infrastructure services company that provides third-party hardware maintenance, software technical support, managed infrastructure services, and IT professional services for servers, storage, networking, and hyperconverged systems. It sells new and pre-owned hardware through its Curvature brand, offers infrastructure monitoring software (Entuity), and delivers data center solutions including immersion and direct-to-chip liquid cooling. Park Place focuses on reducing OEM costs, maximizing uptime with global logistics and monitoring (ParkView), and supplying L1–L3 engineering expertise to enterprise customers.

📋 Description

• Collect, design, and convert complex data into information interpretable by Data Scientists and Business Analysts • Implement pipelines to move raw data in Azure Synapse using Spark, Python, SQL, and C# according to Data Warehouse and Data Lakehouse architectural standards • Develop machine learning and regression analysis capabilities using Spark-Python-Pandas, OpenAI, and Azure ML • Mentor junior Data Engineers and establish guardrails and protocols • Work with Data Analysts and Business Analysts to clarify requirements and guide execution • Provide peer review support and ensure relevant coding standards are used • Apply Software Development Life Cycle expertise • Design, develop, and maintain scalable batch and streaming data pipelines for AI and machine learning workloads • Build and support ETL/ELT processes for training, testing, and production datasets • Support feature store development and management • Maintain data lakes, lakehouses, and data warehouse solutions • Integrate and maintain vector databases and vector storage for RAG and other AI applications • Partner with engineers and architects on data architecture, pipeline performance, and AI-ready data platforms • Implement data quality, validation, observability, and monitoring capabilities • Support security, governance, privacy, and regulatory compliance requirements • Document data flows, architectures, schemas, and operational processes • Support and modify Model Context Protocol integrations under senior guidance • Collaborate with AI Data Engineering, IT Data Engineering, AI Engineering, Infrastructure, Security, and business stakeholders

🎯 Requirements

• 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 designing and implementing complex data pipelines while ensuring data quality and consistency • Solid understanding of data warehouse and Delta Lake design concepts • Solid data analytics background • Solid understanding of the Software Development Life Cycle • Bachelor's Degree or relevant certifications and equivalent years of experience • Understanding of AI/ML data workflows • Proficiency in Python and SQL • Understanding of ETL/ELT and data modeling • Knowledge of relational and NoSQL databases • Ability to support AI-focused data pipelines and data quality practices • Preferred: vector database and RAG experience • Preferred: Spark, Kafka, dbt, dlt, Hadoop, or NiFi • Preferred: cloud data services such as Azure Data Factory, AWS Glue, or GCP Dataflow • Preferred: PyTorch or other machine learning frameworks • Preferred: Docker, Kubernetes, and CI/CD • Preferred: experience with MCP integrations

🏖️ Benefits

• Less than 10% travel requirement • Microsoft Cloud Certification listed as a bonus opportunity • Familiarity with Machine Learning and AI listed as a bonus opportunity • Web Development listed as a plus