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Senior Infrastructure Engineer Jobs in Ridgefield, CT

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

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 ... Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.

Pwc

Data Engineer - Senior Associate

Stamford, CT · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Engineer - Senior Associate, you will focus on designing and building data infrastructure and ... Responsibilities - Designing and implementing data infrastructure and systems to facilitate ...

Arcadis

Sr Structural Engineer

White Plains, NY · On-site

$110K - $150K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Role description: Arcadis is seeking a Senior Structural Engineer to play a key role in the ... infrastructure projects. This position offers the opportunity to lead the structural design of ...

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Showing results 41-60

All JobsInfrastructure Engineer JobsSenior Infrastructure Engineer JobsSenior Infrastructure Engineer Jobs in Ridgefield, CT

Senior Infrastructure Engineer information

See Ridgefield, CT salary details

$22.4K

$126.5K

$174.8K

How much do senior infrastructure engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior infrastructure engineer in Ridgefield, CT is $126,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,100.00 and $146,900.00 per year, depending on experience, location, and employer.

What is a senior infrastructure engineer?

Senior Infrastructure Engineers are experienced IT professionals responsible for designing, implementing, maintaining, and optimizing an organization’s core technology infrastructure. This includes servers, networks, cloud environments, and related systems that support business operations. They often lead projects, troubleshoot complex issues, and ensure the reliability, security, and scalability of the infrastructure. In addition to technical expertise, they may mentor junior engineers and collaborate with other departments to align technology with business goals.

What is the difference between Senior Infrastructure Engineer vs Network Engineer?

AspectSenior Infrastructure EngineerNetwork Engineer
CredentialsBachelor's in Computer Science or related, certifications like Cisco CCNA/CCNP, AWS, or AzureBachelor's in Computer Science or related, Cisco CCNA/CCNP, CompTIA Network+
Work EnvironmentDesigning, implementing, and maintaining IT infrastructure, servers, cloud servicesConfiguring, managing, and troubleshooting network hardware and connectivity
Employer & Industry UsageTech companies, data centers, large enterprisesTelecommunications, IT service providers, corporate networks

While both roles require networking knowledge and certifications, Senior Infrastructure Engineers focus on overall infrastructure design and cloud integration, whereas Network Engineers specialize in network hardware and connectivity. The Senior Infrastructure Engineer role is broader, often overseeing multiple systems, while Network Engineers concentrate on network-specific tasks.

What are the key skills and qualifications needed to thrive as a senior infrastructure engineer, and why are they important?

To thrive as a Senior Infrastructure Engineer, you need deep expertise in network architecture, server management, cloud platforms, and a relevant degree or certifications like AWS Certified Solutions Architect or Microsoft Certified: Azure Administrator. Proficiency with infrastructure-as-code tools (e.g., Terraform, Ansible), virtualization platforms, and monitoring systems is typical in this role. Strong problem-solving skills, leadership, and effective communication help you manage complex projects and collaborate across teams. These skills ensure reliable, secure, and scalable IT environments that support organizational goals.

What are some common challenges faced by senior infrastructure engineers when supporting large-scale systems?

Senior Infrastructure Engineers often encounter challenges such as ensuring high availability and reliability of systems, managing complex migrations, and optimizing performance under heavy workloads. Coordinating with development and security teams is essential to implement infrastructure changes without disrupting services. Additionally, staying ahead of evolving technologies and automating routine tasks can be demanding but crucial for efficiency and scalability. Successfully navigating these challenges requires strong technical expertise, proactive problem-solving, and effective cross-team communication.

What are popular job titles related to Senior Infrastructure Engineer jobs in Ridgefield, CT?

For Senior Infrastructure Engineer jobs in Ridgefield, CT, the most frequently searched job titles are:

What cities near Ridgefield, CT are hiring for Senior Infrastructure Engineer jobs?

Cities near Ridgefield, CT with the most Senior Infrastructure Engineer job openings:

Senior Infrastructure Engineer jobs near you
Infographic showing various Senior Infrastructure Engineer job openings in Ridgefield, CT as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $126,454 per year, or $60.8 per hour.

Sr Data Engineer

subway

Shelton, CT

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 16 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,049 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

 

Sr Data Engineer - Shelton, CT

Ready to build what’s next with one of the world’s most iconic brands? 

Why Join Subway? 

At Subway, we are not standing still. We are building. 

This is a business focused on what matters most: growing franchisee profitability, strengthening our brand and creating long-term value. The people who thrive here are the ones who want to make a real impact. 

You will not just do the work. You will shape it. 

We move fast. We think like owners. We make decisions that matter. We hold ourselves to a high standard because what we do directly impacts thousands of franchisees around the world. 

If you bring energy, accountability and a bias for action, you will fit right in. 

We take the work seriously, but we also know the best results come from teams that support each other, celebrate wins and show up ready to build something better every day. 

This is your chance to be part of what’s next. 

About the Role: 

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway’s enterprise data platform on Snowflake or Databricks. This role serves as a technical authority and builder, driving Lakehouse architecture, engineering frameworks, and best practices across multiple data domains. The Sr Data Engineer operates with a high degree of autonomy, leading through working code and influence — shipping reference implementations, POCs, and platform-level solutions that other teams build upon. 

Responsibilities include but not limited to: 

  • Personally design and build reference implementations and production-grade frameworks on Databricks or Snowflake.
  • Design lakehouse platforms using Delta Lake or Iceberg Tables with Medallion (Bronze/Silver/Gold) architecture.
  • Define and evolve enterprise data standards, patterns, and reusable accelerators.
  • Ensure solutions align with data governance, security, scalability, and cost-efficiency standards.
  • Evaluate technologies through hands-on benchmarking — not vendor decks.
  • Build the first working version of complex pipelines, frameworks, and POCs (ingestion, CDC, streaming, DQ, observability, CI/CD).
  • Drive emerging tech (Iceberg, Lakeflow, Openflow, Cortex, Mosaic AI) from POC to production rollout.
  • Solve high-complexity performance, cost, and governance challenges at petabyte scale.
  • Identify and address systemic technical debt and architectural risks.
  • Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming.
  • Build GenAI and ML enablement patterns (RAG, feature stores, semantic layers) using Databricks Mosaic AI or Snowflake Cortex.
  • Partner with Data Science and Analytics teams to operationalize models and AI workflows.
  • Collaborate closely with Product, Architecture, Security, Infrastructure, and Analytics leaders.
  • Translate business needs into sound technical direction backed by working prototypes.
  • Communicate technical trade-offs, risks, and decisions clearly to technical and non-technical stakeholders.
  • Influence roadmaps and platform investments through technical insight and de-risking POCs.
  • Mentor Senior and Staff Data Engineers through pair-programming, PR reviews, and design coaching.
  • Raise engineering maturity by shipping working examples and codifying patterns.
  • Foster a culture of technical excellence, learning, and continuous improvement. 

Qualifications (some examples listed below): 

  • Exceptional hands-on expertise in Databricks or Snowflake lakehouse platforms.
  • Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.
  • Proven experience building Medallion architecture with Delta Lake or Iceberg Tables. 
  • Real-time and batch streaming experience (Lambda or Kappa) using Databricks DLT or Snowflake Dynamic Tables / Snowpipe Streaming. 
  • Hands-on with orchestration tools — Airflow, Databricks Lakeflow, or Snowflake Openflow; dbt experience a plus.
  • Strong data modeling skills (Dimensional, Data Vault, schema design).
  • Performance and cost tuning expertise (clustering, partitioning, Z-ordering, warehouse/cluster sizing, FinOps). 
  • Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, and data quality.
  • Semantic layer experience using Databricks AI/BI Genie / Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst.
  • AI/ML enablement experience with Databricks Mosaic AI or Snowflake Cortex.
  • CI/CD and DevOps fluency — Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated testing.
  • Cloud ecosystem expertise — AWS (S3, Glue, Kinesis), Azure, or GCP.
  • Excellent communication and technical storytelling ability.
  • Comfortable operating across ambiguity and complex stakeholder environments. 
  • Education: Bachelor’s degree required (Computer Science, Engineering, or related field); advanced degree preferred.
  • Experience: 3-5 years of professional data engineering experience, with proven track record leading architecture and hands-on build for enterprise-scale data platforms, operating in complex or mission-critical data environments, and influencing multiple teams and platforms without direct authority.
  • Travel Requirements: Minimal to moderate (up to 10%, as business needs require). 

What do we offer? 

  • Insurance Plans (Medical, Life)
  • Pension/401K/RSP (country specific)
  • Competitive Bonus
  • Mobility Allowance
  • Tuition Reimbursement
  • Company Holidays
  • Volunteering time
  • And More….. 

 

Compensation: The base pay range for this role is $102,700 - $128,400 annually

Pay within this range will be determined in good faith based on job-related factors, which may include skills, experience, education/training, location, and internal equity.

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