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Snowflake Jobs in Connecticut (NOW HIRING)

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

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 ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or ...

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How much do snowflake jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for snowflake in Connecticut is $64.31, according to ZipRecruiter salary data. Most workers in this role earn between $56.92 and $72.93 per hour, depending on experience, location, and employer.

What are some common challenges faced by Snowflake professionals, and how can they be addressed?

Snowflake professionals often encounter challenges such as optimizing query performance, managing data security and access controls, and integrating Snowflake with multiple data sources. Addressing these challenges requires continuous learning about the platform’s evolving features, proactively monitoring query and storage usage, and collaborating closely with data architects, DevOps, and IT security teams. Staying up to date with best practices and regularly attending Snowflake community webinars or training can also be extremely helpful. Most companies encourage knowledge sharing and collaboration, so being proactive in problem-solving will help you thrive in this role.

What is a Snowflake?

A Snowflake job typically refers to tasks executed within Snowflake, a cloud-based data platform. These jobs can include data loading, transformation, querying, or scheduled tasks using Snowflake's task and stream features. They help automate data workflows, improve performance, and ensure efficient data management within the Snowflake ecosystem.

What are the key skills and qualifications needed to thrive in the Snowflake position?

To thrive as a Snowflake professional (such as a Snowflake Data Engineer or Administrator), you need a solid understanding of cloud data warehousing, SQL, and data modeling, typically supported by a degree in computer science or related fields. Experience with the Snowflake platform, data integration tools (like Informatica or Talend), and relevant certifications such as SnowPro are highly valuable. Strong problem-solving abilities, communication skills, and adaptability help professionals translate business requirements into data solutions and work effectively with cross-functional teams. These competencies are crucial for optimizing data workflows, ensuring system performance, and supporting the data-driven goals of an organization.

What are the most commonly searched types of Snowflake jobs in Connecticut? The most popular types of Snowflake jobs in Connecticut are:
What are popular job titles related to Snowflake jobs in Connecticut? For Snowflake jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Snowflake jobs in Connecticut look for? The top searched job categories for Snowflake jobs in Connecticut are:
What cities in Connecticut are hiring for Snowflake jobs? Cities in Connecticut with the most Snowflake job openings:
Snowflake jobs near you
Infographic showing various Snowflake job openings in Connecticut as of August 2026, with employment types broken down into 100% Full Time. Highlights an 59% In-person, and 41% Remote job distribution, with an average salary of $133,770 per year, or $64.3 per hour.

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 10 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,048 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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