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Azure Data Engineer Jobs in Connecticut (NOW HIRING)

Senior Data Engineer with Pyspark

Rocky Hill, CT ยท 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)

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIโ€‘enabled workflows. Responsibilities : โ€ข Write ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

Sr Data Engineer

Shelton, CT ยท On-site

$106K - $144K/yr

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 ...

Showing results 41-60

Azure Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do azure data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for azure data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

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

AspectAzure Data EngineerData Analyst
Required CredentialsAzure certifications, SQL, Python, cloud skillsData analysis certifications, SQL, Excel, BI tools
Work EnvironmentCloud platforms, data pipelines, big data toolsData visualization, reporting, business insights
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Azure Data Engineers focus on building and maintaining data pipelines in cloud environments, utilizing tools like Azure Data Factory and SQL. Data Analysts interpret data to generate reports and insights, often using Excel and BI tools. While both roles work with data, Azure Data Engineers handle data infrastructure, whereas Data Analysts focus on data interpretation and visualization.

What are the key skills and qualifications needed to thrive as an Azure Data Engineer?

To thrive as an Azure Data Engineer, you need proficiency in data modeling, SQL, ETL processes, and a solid understanding of cloud computing concepts, typically supported by a degree in computer science or a related field. Familiarity with Microsoft Azure services (such as Azure Data Factory, Azure Synapse Analytics, and Azure Databricks), and relevant certifications like Microsoft Certified: Azure Data Engineer Associate, are highly valuable. Strong problem-solving skills, effective communication, and adaptability help you collaborate across teams and respond to evolving project needs. These skills are crucial for designing robust data solutions that support business intelligence and decision-making in cloud environments.

What are some common challenges Azure Data Engineers face when integrating data from multiple sources?

Azure Data Engineers often encounter challenges when consolidating data from diverse sources such as on-premises databases, cloud storage, and third-party applications. Issues like data format inconsistencies, varying data quality, and synchronization timing can complicate the integration process. Leveraging Azure services like Data Factory and Synapse Analytics helps automate and streamline these tasks, but careful planning and robust data validation are essential. Collaboration with business analysts and data architects is also crucial to ensure the integrated data meets organizational requirements.

What is an Azure Data Engineer?

Azure Data Engineers are IT professionals who design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for building data pipelines, integrating diverse data sources, and ensuring data is stored securely and efficiently. These engineers work with tools like Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to process, transform, and analyze large volumes of data. Their main goal is to provide reliable data infrastructure to support business intelligence and analytics needs.

Is an Azure Data Engineer a good career?

An Azure Data Engineer is a valuable role focused on designing and implementing data solutions using Microsoft Azure cloud services. It typically requires skills in data modeling, SQL, and tools like Azure Data Factory and Databricks, with certifications such as Microsoft Certified: Azure Data Engineer Associate enhancing job prospects. The role offers strong demand due to the increasing reliance on cloud-based data management and analytics.
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 Azure Data Engineer jobs in Connecticut? For Azure Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Azure Data Engineer jobs in Connecticut look for? The top searched job categories for Azure Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Azure Data Engineer jobs? Cities in Connecticut with the most Azure Data Engineer job openings:
Infographic showing various Azure Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $123,397 per year, or $59.3 per hour.

Azure Solution Architect - Industrial IoT

Applied Information Sciences

Groton, CT โ€ข Remote

$63.25 - $82.25/hr

Full-time

Re-posted 23 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 executiveready 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 experiencedAzure Solution Architect - Industrial IoTto lead the design and deployment of secure, scalable, and reliable Industrial Internet of Things (IIoT) solutions in Microsoft Azure. This roleis responsible fortranslating 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 deepexpertisein 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.

  • Defineend-to-endIIoTreference architectures spanning sensors, PLCs, SCADA/DCS systems, industrial gateways, edgecompute, cloud ingestion, storage, analytics, and visualization.

  • Design solutions using Azure services such asAzure 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 Twinsasappropriate.

  • 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 asOPC 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,secretsmanagement, device hardening, and regulatory compliance.

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

  • 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 forIIoTworkloads.

  • 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 deployingindustrial IoT / OT-integrated solutionsin 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 ofindustrial communications standards and protocols such asOPC 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 asBicep, ARM, Terraform, PowerShell, or Azure DevOps/GitHub Actions.

  • Strong communicationskills with the ability to engage both executive stakeholdersand deeplytechnical engineering teams.

Preferred Qualifications

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

  • Experience withAzure 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 asISA/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 asPower BI, Synapse, Fabric, or third-party industrial analytics tools.

  • Background in application integration, API design, event-drivenarchitectures, 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.