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Unity Programmer 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

$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

Governance experience with Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage ... CI/CD and DevOps fluency - Git, Databricks Asset Bundles or Snowflake CLI / Schemachange, automated ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

... Unity Catalog, automated continuous integration and continuous deployment (CI/CD) pipelines, and performance optimization of data engineering pipelines, code, and compute resources Ability to travel ...

Deloitte

Databricks Data Engineer II

Stamford, CT · On-site

$122K - $146K/yr

Experience with Delta Lake, Databricks Workflows, and Unity Catalog * Experience using Git-based ... As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based ...

Travelers

Data Engineer I (AWS, Databricks)

Hartford, CT

$109K - $180K/yr

As a Data Engineer, you will play a key role in growing and transforming our analytics landscape ... Notebooks, Jobs, Unity Catalog, Genie, and concepts such as Autoloader, streaming, and near real ...

New

Sonalysts, Inc.

3D Model Developer

Waterford, CT · On-site

$60K - $110K/yr

Sonalysts, Inc. is seeking a 3D model developer to join a team developing visual models used in ... Unity 3d * Unreal 5 * Experience in and/or knowledge of: * Low and medium polygon modeling ...

Sonalysts, Inc.

3D Model Developer

Waterford, CT

$60K - $110K/yr

Sonalysts, Inc. is seeking a 3D model developer to join a team developing visual models used in ... Unity 3d * Unreal 5 * Experience in and/or knowledge of: * Low and medium polygon modeling ...

Sonalysts, Inc.

3D Model Developer

Waterford, CT

$60K - $110K/yr

Sonalysts, Inc. is seeking a 3D model developer to join a team developing visual models used in ... Unity 3d * Unreal 5 * Experience in and/or knowledge of: * Low and medium polygon modeling ...

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How much do unity programmer jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for unity programmer in Connecticut is $37.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.47 and $48.94 per hour, depending on experience, location, and employer.

What are some typical challenges a Unity Programmer might face in a production environment?

Unity Programmers often encounter challenges such as optimizing game performance for multiple platforms, troubleshooting complex bugs, and efficiently implementing new features within tight deadlines. Balancing creative design requests with technical limitations is a common part of the job, requiring both innovative problem-solving and clear communication with designers and artists. You may also need to keep up with frequent Unity updates and evolving industry best practices, ensuring that projects remain current and competitive. Being adaptable and proactive in learning new tools or techniques will help you overcome these challenges and contribute effectively to your team.

What is a Unity Programmer job?

A Unity Programmer is responsible for developing, implementing, and optimizing interactive experiences using the Unity game engine. They write code in C# to create gameplay mechanics, UI systems, and other interactive elements. Unity Programmers work closely with designers, artists, and other developers to bring game concepts to life. Their role often includes debugging, performance optimization, and integrating assets to ensure a smooth user experience. They may work in gaming, augmented reality (AR), virtual reality (VR), or other interactive applications.

What are the key skills and qualifications needed to thrive in the Unity Programmer position, and why are they important?

To thrive as a Unity Programmer, you need proficiency in C# programming, a solid understanding of game development concepts, and experience with the Unity engine. Familiarity with integrated development environments (IDEs), version control systems like Git, and possibly Unity certifications are valuable assets. Creativity, problem-solving, teamwork, and strong communication skills help Unity Programmers excel in collaborative and fast-paced environments. These abilities are crucial for delivering high-quality interactive experiences and ensuring efficient project progress in game or application development.

What are popular job titles related to Unity Programmer jobs in Connecticut? For Unity Programmer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Unity Programmer jobs in Connecticut look for? The top searched job categories for Unity Programmer jobs in Connecticut are:
Unity Programmer jobs near you
Infographic showing various Unity Programmer job openings in Connecticut as of July 2026, with employment types broken down into 4% Internship, 88% Full Time, and 8% Contract. Highlights an 88% In-person, 4% Hybrid, and 8% Remote job distribution, with an average salary of $78,228 per year, or $37.6 per hour.
Sr Data Engineer

Sr Data Engineer

subway

Shelton, CT

$106K - $144K/yr

Other

Medical, Life, Retirement

Posted 23 days ago

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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