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Senior Unity Engineer Jobs in Connecticut (NOW HIRING)

subway

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 ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

subway

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 ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

subway

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 ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

subway

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 ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing ... Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ...

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

... a Senior Data Engineer to design, build, and optimize scalable data pipelines and warehouse ... Implement and enforce Unity Catalog governance standards -- data lineage, access controls, tagging ...

L.e.a.p. Inc.

Site Coordinator

New Haven, CT · On-site

$50K - $52K/yr

... Senior Counselors, and Junior Counselors as they implement social and academic programming for ... Create engaging site-wide and neighborhood cultural events that build a sense of unity, fun, and ...

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Senior Unity Engineer information

What is a senior Unity engineer?

Senior Unity Engineers are experienced software developers who specialize in using the Unity game engine to design, build, and maintain interactive applications, games, or simulations. They lead development teams, architect game systems, and ensure code quality and performance. Their responsibilities also often include mentoring junior engineers, optimizing workflows, and collaborating with artists and designers to deliver high-quality user experiences. A Senior Unity Engineer typically has several years of professional experience with Unity, C#, and related technologies.

How does a senior Unity engineer typically collaborate with artists and designers during game development?

As a Senior Unity Engineer, you'll work closely with artists and designers to transform creative concepts into interactive gameplay. This collaboration often involves integrating art assets, implementing UI/UX features, and providing technical guidance to ensure that designs are feasible within Unity's engine constraints. Regular communication is key, with frequent meetings to align on project goals, troubleshoot issues, and iterate on prototypes. Your expertise will also help bridge the gap between creative vision and technical execution, ensuring a smooth workflow and high-quality results.

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

To thrive as a Senior Unity Engineer, you need advanced proficiency in C#, Unity3D engine, and computer science fundamentals, typically backed by a relevant degree and significant experience in game or interactive software development. Familiarity with version control systems (such as Git), performance profiling tools, and continuous integration platforms is essential, along with knowledge of VR/AR frameworks if applicable. Strong problem-solving, leadership, and communication skills help you drive projects forward and mentor junior developers. These competencies ensure the delivery of efficient, high-quality applications and foster effective collaboration within multidisciplinary teams.

What is the difference between Senior Unity Engineer vs Unity Developer?

AspectSenior Unity EngineerUnity Developer
Required CredentialsBachelor's in Computer Science or related field; extensive Unity experience; often additional certificationsTypically a bachelor's degree; some experience with Unity; certifications are optional
Work EnvironmentLarge game studios, AR/VR companies, or enterprise applicationsIndie projects, startups, or smaller teams
Industry UsageUsed in both gaming and non-gaming industries for complex projectsPrimarily in game development and interactive media

Senior Unity Engineers usually have more experience, advanced skills, and work on complex projects within larger teams. Unity Developers often focus on creating and implementing features, typically in smaller or less complex projects. The roles overlap but differ mainly in experience level and project scope.

What are popular job titles related to Senior Unity Engineer jobs in Connecticut? For Senior Unity Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Unity Engineer jobs in Connecticut look for? The top searched job categories for Senior Unity Engineer jobs in Connecticut are:
Senior Unity Engineer jobs near you
Infographic showing various Senior Unity 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.

Sr Data Engineer

subway

Shelton, CT

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 9 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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