Senior AI Data Engineer

🔥 15 hours ago

🏈 Ohio – Remote

🏈 Ohio – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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.

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Park Place Technologies

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1991

🔧 Hardware

🤝 B2B

🏢 Enterprise

💰 $2G Debt Financing - Park Place Technologies on 2024-04

Hardware • B2B • Enterprise

Park Place Technologies is a global IT infrastructure services firm that provides third-party maintenance, managed services, professional services, and hardware solutions for data centers and enterprise IT. Park Place offers multi-vendor maintenance and technical software support for storage, servers, networking and hyperconverged systems—often at lower cost than OEMs—plus new and pre-owned hardware (via Curvature), infrastructure monitoring software (Entuity), data center cooling solutions (immersion and direct-to-chip), cloud migration, disaster recovery, and a range of 24/7 monitoring and remediation services. The company serves more than 25,000 organizations, including roughly half of the Fortune 500, and emphasizes global logistics, an L1–L3 engineering bench, automated support (ParkView), and guarantees like First-Time Fix.

📋 Description

• Collect, design, and convert complex data into information interpretable by Data Scientists and Business Analysts • Implement pipelines to move raw data into 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 confirm adherence to coding standards • Apply mastery of the Software Development Life Cycle • 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 • Develop and 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 to design data architectures and optimize pipeline performance • 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 • 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 • Microsoft Cloud Certification is a bonus • Familiarity with Machine Learning and AI is a bonus • Web Development is a plus • Vector database and RAG experience preferred • Experience with Spark, Kafka, dbt, dlt, Hadoop, or NiFi preferred • Knowledge of 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 preferred • Travel less than 10%

🏖️ Benefits

• Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities • Reasonable accommodation available for applicants with disabilities • Remote work arrangement