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Unity Software Developer Jobs in Connecticut (NOW HIRING)

The Subway

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

... 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 ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Databricks (Delta Lake, Unity Catalog, Workflows) * Apache Airflow * Git / Azure DevOps * Deep ... software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by ...

Travelers

Senior Data Engineer (AWS, Databricks)

Hartford, CT · On-site

$105K - $144K/yr

... software engineering practices. Employ CI/CD, automated testing, and apply trunk-based or short ... Workspace management, cluster configuration, open table formats (Iceberg, Delta Lake), Unity ...

Infosys

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

... Engineering|Databricks Technical Skills 2 Technology|AI Engineering|Databricks AI Engineering ... The ability to work with cross-functional teams and do software integration. Required Skill and ...

Deloitte

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

Oversee the implementation of CI/CD practices with tools such as Azure DevOps, AWS Code Pipeline ... Airflow, Unity Catalog, automated continuous integration and continuous deployment (CI/CD ...

Deloitte

Databricks Data Engineer

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 ...

Infosys Limited Digital

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

... Engineering|Databricks Technical Skills 2 Technology|AI Engineering|Databricks AI Engineering ... Required Skill and Experience • Expertise in Databricks platform, security features, Unity ...

Infosys

Azure Databricks Admin

Hartford, CT · On-site

Required : • Expertise in Databricks platform, security features, Unity Catalog, and data access ... DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools. Company

All JobsUnity Software Developer JobsUnity Software Developer Jobs in Connecticut

Unity Software Developer information

See Connecticut salary details

$45.7K

$106.4K

$157.9K

How much do unity software developer jobs pay per year?

As of Jul 6, 2026, the average yearly pay for unity software developer in Connecticut is $106,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,600.00 and $123,700.00 per year, depending on experience, location, and employer.

What is a Unity Software Developer job?

A Unity Software Developer is responsible for designing, developing, and optimizing interactive experiences using the Unity game engine. They create applications, games, simulations, and VR/AR experiences by writing code in C# and integrating assets like graphics, animations, and audio. Unity developers collaborate with designers, artists, and other engineers to ensure smooth performance and engaging user experiences. Their role often includes debugging, performance optimization, and implementing new features based on project requirements.

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

To thrive as a Unity Software Developer, you need expertise in C# programming, 3D/2D game development, and a solid understanding of the Unity engine, usually backed by a degree in computer science or a related field. Familiarity with version control systems like Git, experience with Unity-specific tools, and certifications such as Unity Certified Developer can be highly beneficial. Strong problem-solving, teamwork, and clear communication skills help developers effectively tackle challenges and collaborate across multidisciplinary teams. These skills and qualifications are essential for building robust, interactive applications and ensuring seamless project delivery in dynamic development environments.

What are some typical daily tasks for a Unity Software Developer?

As a Unity Software Developer, your most common daily tasks include writing and debugging C# scripts, designing and implementing game mechanics, and optimizing performance within the Unity engine. You’ll often collaborate with artists, designers, and other programmers to integrate assets, refine gameplay experiences, and address technical challenges. Daily stand-up meetings or sprint planning sessions are common in teams following Agile methodologies. Additionally, you may spend time testing and iterating features based on user feedback or quality assurance reports to ensure a polished final product.

What are the most commonly searched types of Unity Software Developer jobs in Connecticut? The most popular types of Unity Software Developer jobs in Connecticut are:
What are popular job titles related to Unity Software Developer jobs in Connecticut? For Unity Software Developer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Unity Software Developer jobs in Connecticut look for? The top searched job categories for Unity Software Developer jobs in Connecticut are:
Unity Software Developer jobs near you

Sr Data Engineer

Franchise World Headquarters, LLC

Shelton, CT • On-site

$114K - $137K/yr

Other

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.

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.

The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

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