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Data Infrastructure Engineer Jobs in Connecticut

Data Engineer

Milford, CT ยท On-site

$114K - $137K/yr

They are seeking a highly skilled Data Engineer to design, build, and maintain their data infrastructure, managing end-to-end data pipelines and collaborating with various teams to deliver reliable ...

GenAI Data Engineer

Hartford, CT ยท On-site +1

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

GenAI Data Engineer

Hartford, CT

$115K - $138K/yr

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Responsibilities - Designing and implementing data infrastructure and systems to facilitate ...

Data Engineer - Manager

Stamford, CT ยท On-site

$99K - $232K/yr

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Responsibilities - Designing and implementing data infrastructure and systems to facilitate ...

Azure Data Architect

Hartford, CT ยท On-site

$64.25 - $82.75/hr

... the organization's data infrastructure to ensure optimal data management, integration ... Partner with Data Engineers and Analysts to streamline data flows. Collaboration & Leadership

The Data Warehouse Engineer is responsible for designing, developing, and maintaining enterprise data warehouse infrastructure and ETL (Extract Transform Load) solutions that support strategic ...

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Showing results 1-20

Data Infrastructure Engineer information

See Connecticut salary details

$44.2K

$120.9K

$173.1K

How much do data infrastructure engineer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for data infrastructure engineer in Connecticut is $120,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,300.00 and $134,100.00 per year, depending on experience, location, and employer.

What is a Data Infrastructure Engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

What are the key skills and qualifications needed to thrive as a Data Infrastructure Engineer, and why are they important?

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges Data Infrastructure Engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

What are popular job titles related to Data Infrastructure Engineer jobs in Connecticut? For Data Infrastructure Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Engineer jobs in Connecticut look for? The top searched job categories for Data Infrastructure Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Data Infrastructure Engineer jobs? Cities in Connecticut with the most Data Infrastructure Engineer job openings:
Infrastructure Engineer (Systems & Storage)

Infrastructure Engineer (Systems & Storage)

Therap Services Llc

Torrington, CT โ€ข On-site

$110K - $160K/yr

Full-time

Posted 28 days ago


Job description

Infrastructure Engineer (Systems & Storage)


We are seeking a versatile Infrastructure Engineer to act as the guardian of our data integrity and physical backbone. This role manages the "Persistence Layer" of our global healthcare-related suiteโ€”ensuring our high-performance storage and network stacks are resilient, secure, and ready for massive scale.

You are a technical "Generalist" who is equally comfortable in a terminal as you are in a data center. You will own the health of our NetApp and Qumulo storage clusters and maintain the network security boundaries that keep our patient data safe.

Key Responsibilities
  • Network & Security: Maintain Fortigate firewalls and Cisco network infrastructure, ensuring high availability and secure VLAN management.

  • Storage Management: Administer high-performance NetApp clusters and high-capacity Qumulo systems.

  • Data Center Operations: Manage the physical health of our East Coast data centers, including racking, cabling, and hardware lifecycle management.

  • Collaboration: part of a global team, working closely with off-shore infrastructure engineers. Willing to initiate discussions with development teams early in the cycle.

  • Incident Response: Participate in a modernized, data-driven incident response process to ensure 24/7 stability for our production environments.

What You Bring
  • Storage Depth: 2+ years of experience with enterprise storage (specifically NetApp/ONTAP) including volume management and snapshots.

  • Systems Generalist: A solid foundation in Linux (RHEL, OL8) and VMware virtualization.

  • Networking Fundamentals: Comfortable managing firewall rules and switching in a complex, multi-site environment.

  • Operational Discipline: Experience working within highly regulated frameworks like HIPAA, SOC2, or ARC-AMPE.

  • Mobility: Ability to travel to our East Coast data center locations for hands-on hardware.

Preferred Skills & Mindset
  • Cloud Infrastructure Management: Experience with Oracle OCI is a plus.

  • Automation-First: Experience with (or a strong desire to master) Ansible, Terraform, and Python is a plus.

  • Monitoring & Logs: Experience with modern observability tools like Datadog APM and CloudStrike Falcon is a plus.

  • Problem Solver: You don't just fix the ticket; you find a way to automate the fix so the ticket never returns.