AI/Data Engineer, Mid-Level – Python, Azure Data, ML Pipelines

Job not on LinkedIn

🔥 1 hour ago

🇺🇸 United States – Remote

💵 $95k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 0%

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Intertwine Associates

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Intertwine Associates is a strategic consulting and operational-excellence firm that partners with federal agencies, academic institutions, and scientific organizations to improve performance and implement lasting change. The firm offers services including strategic consulting, operational excellence, government contracting support, scientific advisory, and implementation & change management, with a focus on building resilient teams, practical frameworks, and measurable impact. Based in Mt. Pleasant, South Carolina, Intertwine emphasizes efficiency, professionalism, and results-driven engagement for public-sector and research clients.

📋 Description

• Develop production-grade ETL workflows using Python and Microsoft-based frameworks • Ingest, transform, and validate structured and unstructured data • Implement schema enforcement, data validation, and quality checks • Support Azure Data Lake Storage, Azure SQL, and Azure-based data services • Design workflow orchestration using Azure Data Factory or Microsoft Fabric / Foundry • Build Python-based data services using Pandas, PyTorch, TensorFlow, and related libraries • Develop API endpoints and microservices for analytics and ML platform interoperability • Implement logging, monitoring, performance tuning, and operational reliability • Collaborate with client data scientists, analysts, architects, and governance teams • Apply data governance best practices for compliance, reproducibility, and auditability • Support a federal agency or other client's enterprise data management environment • Represent Intertwine Associates and the client with professionalism, responsiveness, and sound judgment

🎯 Requirements

• 3+ years of experience developing or supporting advanced statistical, machine learning, or data pipeline solutions • Proficiency in Python, including Pandas • Strong SQL skills and experience integrating relational database sources • Hands-on experience with Azure cloud environments • Experience with ETL development using Python and Microsoft technologies • Experience with data validation, schema enforcement, and quality assurance • Familiarity with NumPy, scikit-learn, PyTorch, or TensorFlow • U.S. citizenship or lawful permanent residency may be required per contract • Ability to obtain an agency Public Trust clearance • Excellent written and verbal communication skills • Bachelor's, Ph.D., or equivalent professional experience in Data Science, Computer Science, Statistics, Engineering, or a related field • Microsoft Data Engineer certification (for example DP-203 or DP-700) or a related Azure certification • Knowledge of scalable, secure data engineering patterns in regulated environments • Experience with Microsoft Fabric or Azure AI Foundry in production • Experience building API endpoints or microservices, such as FastAPI or Flask • Experience supporting a federal agency or regulated health, safety, or financial organization

🏖️ Benefits

• Competitive compensation package • Discretionary bonuses • Signing or retention incentives • Other variable compensation • Benefits (offered as applicable)