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Senior Python Engineer Jobs in Connecticut (NOW HIRING)

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 ... Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.

The Hartford

Senior AI Machine Learning Engineer

Hartford, CT · Hybrid

$123K - $162K/yr

Sr Data Engineer - GE07BE We're determined to make a difference and are proud to be an insurance ... Strong object oriented development experience using Python, Java, C# * Familiarity with big data ...

Tech Tammina LLC

Sr Linux Engineer

Greenwich, CT · On-site

Senior Linux Engineer Job Location: Greenwich Connecticut , Onsite Job Type: Permenant * Work as ... Proficiency in scripting languages (e.g., Bash, Python) with hands-on experience creating tools

Tech Tammina LLC

Sr Linux Engineer

Greenwich, CT · On-site

Sr Linux Engineer Job Location: Connecticut Job Type: Permenant Specifically, you will: * Work as ... Proficiency in scripting languages (e.g., Bash, Python) with hands-on experience creating tools

The Hartford

Senior Staff Data Engineer

Hartford, CT · Hybrid

$135K - $202K/yr

Sr Staff Data Engineer - GE07DE We're determined to make a difference and are proud to be an ... Must be familiar with ETL using Pyspark/Python/snowflake native features * Must be familiar with ...

D-Wave

Senior Quantum Software Engineer, Compiler

New Haven, CT · On-site

$123K - $162K/yr

... Python, or another general-purpose compiled programming language. • Strong understanding of compiler design fundamentals. • 2+ years developing compiler software/transpiling quantum models and ...

Sarian, Inc.

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Role: Sr Data Engineer Location: Hartford, CT Onsite position Fulltime Position TCS/Hartford JD ... Proficiency in Python for data processing and automation. * Experience with Hive and other big data ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

Subway

Sr. Data Engineer

Fairfield, CT · On-site

$108K - $146K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

Subway

Sr. Data Engineer

Stratford, CT · On-site

$109K - $149K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

Subway

Sr. Data Engineer

Trumbull, CT · On-site

$104K - $141K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

Subway

Sr. Data Engineer

Seymour, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

Subway

Sr. Data Engineer

West Haven, CT

$102K - $139K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ...

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All JobsPython Engineer JobsSenior Python Engineer JobsSenior Python Engineer Jobs in Connecticut

Senior Python Engineer information

See Connecticut salary details

$52.3K

$135.1K

$185.5K

How much do senior python engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior python engineer in Connecticut is $135,059.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $155,500.00 per year, depending on experience, location, and employer.

Are senior Python engineers in demand?

Senior Python engineers are highly in demand due to the language's widespread use in web development, data analysis, machine learning, and automation. Companies seek experienced developers with strong problem-solving skills and knowledge of frameworks like Django or Flask, making this a competitive and growing field.

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

To thrive as a Senior Python Engineer, you need expert knowledge of Python programming, software architecture, and experience with web frameworks, supported by a degree in computer science or related field. Familiarity with tools like Django, Flask, REST APIs, Docker, and version control systems such as Git is typically required, along with possible certifications in cloud technologies or Python itself. Strong problem-solving abilities, leadership, and effective communication skills help you lead teams and collaborate across departments. These skills ensure robust, scalable software solutions and foster innovation and efficiency within development projects.

What does a senior Python engineer do?

A Senior Python Engineer is an experienced software developer who specializes in designing, developing, and maintaining applications using the Python programming language. They often take on leadership roles within development teams, contribute to architectural decisions, and mentor junior engineers. Senior Python Engineers work on complex projects, ensure code quality, and help implement best practices to improve efficiency and reliability. Their work may span back-end development, data engineering, automation, and integrating with other technologies.

What are the common challenges senior Python engineers face when leading projects, and how can they effectively address them?

Senior Python Engineers often encounter challenges such as balancing hands-on coding with overseeing project architecture, mentoring junior developers, and ensuring code quality across the team. Effectively addressing these challenges involves strong communication, setting clear coding standards, and fostering a collaborative environment through regular code reviews and knowledge-sharing sessions. Staying updated on best practices and leveraging automation tools for testing and deployment can also help streamline workflows and maintain high-quality deliverables.
What are popular job titles related to Senior Python Engineer jobs in Connecticut? For Senior Python Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Senior Python Engineer jobs in Connecticut look for? The top searched job categories for Senior Python Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Senior Python Engineer jobs? Cities in Connecticut with the most Senior Python Engineer job openings:
Senior Python Engineer jobs near you
Infographic showing various Senior Python Engineer job openings in Connecticut as of August 2026, with employment types broken down into 91% Full Time, 4% Part Time, and 5% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $135,059 per year, or $64.9 per hour.

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 13 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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