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

Intertwine Associates

. Develop production-grade ETL workflows using Python and Microsoft-based frameworks .

Posted 9/30/2026full-timeRemote • United StatesMid-LevelSenior💰 $95,000 - $125,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing ETL workflows and data services using Python and Azure technologies, with a strong focus on data validation, quality assurance, and compliance in regulated environments.

Highest-signal resume keywords

Python ProficiencyAzure Cloud ExperienceETL DevelopmentData Validation and Quality AssuranceMicrosoft Data Engineer Certification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL WorkflowsData TransformationAPI DevelopmentMachine Learning SolutionsSQL IntegrationData GovernanceSchema EnforcementPerformance TuningData Services DevelopmentMicroservices

Soft Skills

Excellent Communication SkillsProfessionalismResponsivenessSound Judgment

Tools & Technologies

Azure Data Lake StorageAzure SQLAzure Data FactoryMicrosoft FabricPandasPyTorchTensorFlowNumPyScikit-learnFastAPI

Certifications & Qualifications

Microsoft Data Engineer CertificationDP-203DP-700

Industry Keywords

Federal Agency SupportRegulated EnvironmentsData ManagementComplianceAuditability

Tech Stack

Tools & technologies

AzureCloudETLFlaskMicroservicesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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