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Internship Azure Data Engineer Jobs in Connecticut

Hexplora

Senior Data Engineer with Pyspark

Rocky Hill, CT · On-site

$109K - $131K/yr

Senior Data Engineer (PySpark, ETL) Location: Rancho Cucamonga, CA(Hybrid) We are looking for an ... Experience working with cloud-based data storage and processing technologies (AWS, GCP, or Azure)

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Cloud ecosystem expertise -- AWS (S3, Glue, Kinesis), Azure, or GCP. * Excellent communication and ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms. * AI/ML ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms. * AI/ML ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms. * AI/ML ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

The Subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms. * AI/ML ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms. * AI/ML ... engineering teams. * Education: Bachelor's degree in Computer or Information Science or related ...

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Showing results 41-60

All JobsAzure Data Engineer JobsInternship Azure Data Engineer JobsInternship Azure Data Engineer Jobs in Connecticut

Internship Azure Data Engineer information

What kinds of projects and technologies can I expect to work with during an internship Azure Data Engineer?

As an Azure Data Engineer intern, you'll typically gain hands-on experience with cloud data solutions, such as building and managing data pipelines using Azure Data Factory, integrating data sources with Azure Databricks or Synapse Analytics, and working with Azure SQL databases. Interns often participate in real-world projects like data migration, data cleansing, and developing dashboards for business insights. You will likely collaborate closely with data scientists, software developers, and business analysts, learning best practices for data security, scalability, and performance in a cloud environment.

What does an internship Azure Data Engineer do?

An Internship Azure Data Engineer assists in designing, building, and maintaining data solutions using Microsoft Azure technologies. Responsibilities typically include working with data pipelines, cloud databases, and tools such as Azure Data Factory, Azure SQL Database, and Azure Databricks. Interns often help with data integration, transformation, and storage tasks, as well as collaborating with senior engineers and stakeholders to support data-driven projects. This role provides valuable exposure to cloud computing, big data, and the practical application of data engineering concepts.

What is the difference between Internship Azure Data Engineer vs Data Analyst Intern?

AspectInternship Azure Data EngineerData Analyst Intern
Required CredentialsBasic knowledge of Azure, SQL, and data engineering conceptsBasic understanding of data analysis, Excel, and SQL
Work EnvironmentCloud platforms, data pipelines, and database managementData visualization, reporting, and data interpretation
Employer & Industry UsageTech companies, cloud service providers, data-driven organizationsBusiness, marketing, finance sectors, and consulting firms

Internship Azure Data Engineer roles focus on cloud-based data pipeline development and management using Azure tools, while Data Analyst Internships emphasize data interpretation and reporting. Both roles are entry-level, often require SQL knowledge, and serve data-driven industries, but they differ in technical focus and daily tasks.

What are the key skills and qualifications needed to thrive as an internship Azure Data Engineer, and why are they important?

To thrive as an Internship Azure Data Engineer, you need a solid understanding of data management concepts, SQL, and a background in computer science or a related field. Familiarity with Microsoft Azure services like Azure Data Factory, Azure SQL Database, and tools such as Power BI is typically required, along with a willingness to pursue certifications like Microsoft Certified: Azure Data Engineer Associate. Strong analytical thinking, problem-solving skills, and effective teamwork set candidates apart in this role. These skills are essential to efficiently design, implement, and maintain data solutions that support business intelligence and decision-making in cloud environments.

What are the most commonly searched types of Azure Data Engineer jobs in Connecticut?

The most popular types of Azure Data Engineer jobs in Connecticut are:

What are popular job titles related to Internship Azure Data Engineer jobs in Connecticut?

For Internship Azure Data Engineer jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Internship Azure Data Engineer jobs in Connecticut look for?

The top searched job categories for Internship Azure Data Engineer jobs in Connecticut are:

What cities in Connecticut are hiring for Internship Azure Data Engineer jobs?

Cities in Connecticut with the most Internship Azure Data Engineer job openings:

Internship Azure Data Engineer jobs near you
Infographic showing various Internship Azure Data Engineer job openings in Connecticut as of June 2026, with employment types broken down into 99% Full Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Azure Solution Architect - Industrial IoT

Applied Information Sciences

Groton, CT • On-site, Remote

$63.25 - $82.25/hr

Full-time

Re-posted 28 days ago

Job description

Why AIS?
When you join AIS, you're joining a mission-driven team that's passionate about making a difference. You'll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.
  • Employee Ownership: Your contributions directly impact the company's success, and you share in its achievements.
  • Continuous Learning: Access to resources, training, and mentorship to support your professional growth.
  • Inclusive Culture: A workplace where diversity is celebrated, and everyone's voice is valued.
  • Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?
At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.
Working@AIS
At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Infrastructure Architect.
  • Core Knowledge & Skills: Architects scalable, resilient solutions; authors roadmaps and blueprints; integrates diverse components; advances automation (PowerShell/Python/Ansible) and governance/policy.
  • Work & Complexity: Leads architectural initiatives, establishes performance benchmarks, integrates systems at scale, researches emerging tech, and mitigates enterprise risk.
  • Quality & Independence: Ensures integrity, scalability, and cost/performance optimization; produces comprehensive design artifacts; sets and enforces standards with broad autonomy.
  • Teamwork & Communication: Leads architectural teams, builds strategic partnerships, institutionalizes knowledge management, and communicates designs and executive-ready reports.
  • Consulting & Engagement: Delivers architectural consulting aligned to business strategy, proposes enterprise technologies, nurtures vendor alliances, and seeds new project opportunities.
As your initial project assignment, you will support the unique needs of our client as a Azure Solution Architect - Industrial IoT.
Position Summary
We are seeking an experienced Azure Solution Architect - Industrial IoT to lead the design and deployment of secure, scalable, and reliable Industrial Internet of Things (IIoT) solutions in Microsoft Azure. This role is responsible for translating operational technology (OT) and business requirements into end-to-end cloud and edge architectures that enable industrial connectivity, telemetry ingestion, device management, analytics, and operational insights. The ideal candidate brings deep expertise in Azure services, industrial protocols, edge computing, cybersecurity, and systems integration across manufacturing, utilities, energy, or other industrial environments. This position is located on-site in Groton, CT.
Key Responsibilities
  • Lead the architecture, design, and technical governance of Azure-based industrial IoT and edge solutions.

  • Define end-to-end IIoT reference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edge compute, cloud ingestion, storage, analytics, and visualization.

  • Design solutions using Azure services such as Azure IoT Operations, Azure IoT Hub, Azure Event Hubs, Azure Data Explorer, Azure Functions, Azure Stream Analytics, Azure Kubernetes Service, Azure Arc, Azure Monitor, Microsoft Defender for IoT, and Azure Digital Twins as appropriate.

  • Architect secure and resilient connectivity patterns between plant-floor assets and Azure, including edge-to-cloud messaging, store-and-forward, intermittent connectivity handling, and remote site deployment models.

  • Develop strategies for ingesting and normalizing data from industrial protocols and systems such as OPC UA, Modbus, MQTT, BACnet, DNP3, and proprietary OEM interfaces.

  • Collaborate with OT engineers, plant operations, cybersecurity teams, infrastructure teams, and software developers to ensure solutions align with operational requirements and safety constraints.

  • Define device onboarding, identity, certificate management, lifecycle management, patching, and remote operations models for field and plant devices.

  • Design data architectures that support real-time monitoring, historian integration, predictive maintenance, condition monitoring, asset performance management, and advanced analytics use cases.

  • Ensure architectures incorporate security-by-design principles, including zero trust, network segmentation, role-based access control, secrets management, device hardening, and regulatory compliance.

  • Produce architecture artifacts including solution diagrams, interface definitions, security models, deployment patterns, migration plans, and implementation roadmaps.

  • Provide technical leadership during pilots, proof-of-concepts, and production deployments, including design reviews, troubleshooting, and performance optimization.

  • Establish non-functional requirements for availability, scalability, latency, resiliency, observability, and disaster recovery.

  • Support cost modeling, environment sizing, and cloud consumption planning for IIoT workloads.

  • Mentor engineering teams and provide architectural oversight across implementation and operational handoff.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience.

  • 8+ years of experience in solution architecture, cloud engineering, or enterprise systems integration.

  • 3+ years of experience designing or deploying industrial IoT / OT-integrated solutions in manufacturing, energy, utilities, transportation, mining, or similar industrial sectors.

  • Strong hands-on knowledge of Microsoft Azure architecture and services relevant to IoT, data, integration, security, and hybrid infrastructure.

  • Experience integrating cloud platforms with industrial environments, including PLCs, SCADA, MES, historians, industrial gateways, or plant-floor networks.

  • Understanding of industrial communications standards and protocols such as OPC UA, MQTT, and Modbus.

  • Experience with edge computing platforms, containerized workloads, and remote site deployment patterns.

  • Knowledge of OT and IoT cybersecurity principles, including asset visibility, network boundaries, device identity, certificate-based authentication, secure remote access, and threat monitoring.

  • Experience with infrastructure as code and automation using tools such as Bicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions.

  • Strong communication skills with the ability to engage both executive stakeholders and deeply technical engineering teams.

Preferred Qualifications
  • Microsoft Azure certifications such as Azure Solutions Architect Expert, Azure Administrator, Azure Security Engineer, or IoT-related certifications.

  • Experience with Azure Arc-enabled Kubernetes, industrial edge gateways, or disconnected/low-connectivity operating environments.

  • Experience with historian platforms, time-series analytics, and digital twin modeling.

  • Familiarity with industrial cybersecurity standards and frameworks such as ISA/IEC 62443, NIST CSF, NERC CIP, or sector-specific controls.

  • Experience designing solutions for regulated or high-assurance environments.

  • Knowledge of data engineering and visualization platforms such as Power BI, Synapse, Fabric, or third-party industrial analytics tools.

  • Background in application integration, API design, event-driven architectures, and enterprise integration patterns.

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.The targeted base salary range for this role is $138,000-$209,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.
Applied Information Sciences does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age, disability, protected veteran status, or any other basis. Employment decisions are based solely on qualifications, merit, and business needs.

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