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Data Infrastructure Engineer Jobs in Connecticut

Aquent

Infrastructure Engineer

Hartford, CT · On-site

$45 - $50/hr

... data transfer and infrastructure ecosystem. You will act as a core pillar of our operational ... Author and maintain high-quality engineering documentation, best practices, and standard operating ...

Deloitte

Azure/Databricks Infrastructure Engineer

Hartford, CT · On-site

$56.25 - $75.25/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

Tiger Analytics Inc.

GenAI Data Engineer

Hartford, CT · 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 ...

Tiger Analytics Inc.

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 ...

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All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Connecticut

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 Jun 14, 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:
Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Connecticut as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 2% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $120,876 per year, or $58.1 per hour.
Infrastructure Engineer

Infrastructure Engineer

Aquent

Hartford, CT • On-site

$45 - $50/hr

Temporary

Posted 14 days ago

Job description

Placement Type:
Temporary
Salary:
$45-50 Hourly
$50 / hourly as W2
Start Date:
Jun 29, 2026
Position Overview
We are seeking a talented Infrastructure Engineer with a strong background in enterprise systems and Managed File Transfer (MFT) solutions. In this role, you won't just maintain systems; you will architect and automate a highly secure, "hands-off" data transfer and infrastructure ecosystem. You will act as a core pillar of our operational stability, bridging the gap between legacy reliability and modern automation, while mentoring junior engineers and safeguarding our critical data pipelines.
Key Responsibilities
Architecture, Automation & MFT Strategy
Design, implement, and optimize automated monitoring, configuration management, and reporting functions to achieve a fully hands-off Managed File Transfer (MFT) and SFTP environment.
Install, configure, and maintain critical infrastructure components including virtual environments, storage, firewalls, and enterprise platforms (VMware, Windows, UNIX, Check Point).
Seamlessly integrate and manage enterprise file transfer technologies (e.g., Progress, Connect:Direct).
Operations, Security & Compliance
Lead disaster recovery (DR) and business continuity planning, risk assessments, execution, and testing.
Act as a key technical point of contact for internal and external audits, providing meticulous documentation and evidence.
Champion change management processes, incident response frameworks, and rigorous testing methodologies to minimize downtime.
Participate in a shared after-hours/weekend rotation for infrastructure emergencies and scheduled maintenance.
Collaboration & Leadership
Provide Tier 3 technical support and escalation management, resolving complex customer and system incidents with an empathetic, client-focused approach.
Author and maintain high-quality engineering documentation, best practices, and standard operating procedures.
Mentor and elevate junior team members, fostering a culture of continuous learning.
Collaborate with vendors to evaluate, recommend, and negotiate hardware and software solutions.
What You Bring (Qualifications)
Experience: 5+ years of experience in infrastructure engineering, systems administration, or a dedicated MFT role.
MFT Expertise: Deep operational knowledge of file transfer protocols (SFTP, FTPS, HTTPS) and enterprise platforms like Connect:Direct, Progress MOVEit, or similar.
OS & Virtualization: Strong proficiency in Windows/UNIX administration and VMware environments.
Networking & Security: Solid understanding of network topology, firewalls (Check Point preferred), and secure protocols.
Automation Mindset: Experience using scripting/automation tools to eliminate repetitive manual tasks.
Soft Skills: Exceptional communication skills with the ability to translate complex technical concepts for non-technical stakeholders.

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