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Senior Python Data Science Jobs in New Haven, CT

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Deep proficiency in PySpark or advanced SQL, plus Python for data engineering and automation.

CooperCompanies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

Serve as Python Subject Matter Expert for the Data team * Assist with Implementing quality controls ... Bachelor's degree in computer science, MIS, or a related technical field As an employee of ...

Cooper Companies

Senior Data Analyst

Trumbull, CT · On-site

$84K - $106K/yr

Advanced proficiency in SQL, Python, and Lua * High attention to detail, including experience with ... Bachelor's degree in computer science, MIS, or a related technical field As an employee of ...

Iberdrola

Sr Manager - Data & AI Governance

Orange, CT · On-site

The Senior Manager partners closely with Data & AI teams, Enterprise Architecture, IT, Cybers ... Bachelor's in Computer Science, Data Science, Engineering, Information Systems, Law, Ethics, or a ...

Iberdrola

Sr Manager - Data & AI Governance

Orange, CT · On-site

The Senior Manager partners closely with Data & AI teams, Enterprise Architecture, IT, Cybers ... Bachelor's in Computer Science, Data Science, Engineering, Information Systems, Law, Ethics, or a ...

Assa Abloy

Sr. Data Governance Engineer

New Haven, CT · On-site

Associate or bachelor's degree in computer science or related field (or equivalent experience ... Programming skills in Python or Java. * Strong Excel capability. * Familiarity with enterprise ...

Cloudera

Solutions Engineer - East Coast

Bridgeport, CT · On-site

$150K - $185K/yr

Mid-Senior level At Cloudera, we empower people to transform complex data into clear and actionable ... Data Science and ML experience - (R, Python, Deep Learning Frameworks etc.) * Integration Products ...

ASSA ABLOY

Sr. Data Governance Engineer

New Haven, CT · On-site

Associate or bachelor's degree in computer science or related field (or equivalent experience ... Programming skills in Python or Java. * Strong Excel capability. * Familiarity with enterprise ...

Subway

Sr. Data Engineer

Stratford, CT

$109K - $149K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... Education: Bachelor's degree in Computer or Information Science or related field, or equivalent ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... Education: Bachelor's degree in Computer or Information Science or related field, or equivalent ...

Subway

Sr. Data Engineer

Fairfield, CT · On-site

$108K - $146K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... Education: Bachelor's degree in Computer or Information Science or related field, or equivalent ...

Subway

Sr. Data Engineer

Orange, CT

$113K - $154K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... Education: Bachelor's degree in Computer or Information Science or related field, or equivalent ...

Subway

Sr. Data Engineer

Naugatuck, CT · On-site

$107K - $146K/yr

Python for data engineering or automation. * Data Modeling: Dimensional modeling, Data Vault, or ... Education: Bachelor's degree in Computer or Information Science or related field, or equivalent ...

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Senior Python Data Science information

See New Haven, CT salary details

$55.3K

$142.8K

$196.1K

How much do senior python data science jobs pay per year?

As of Aug 3, 2026, the average yearly pay for senior python data science in New Haven, CT is $142,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,200.00 and $164,400.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Science vs Data Analyst?

AspectSenior Python Data ScienceData Analyst
Required SkillsPython, machine learning, statistical analysis, data modelingExcel, SQL, data visualization, basic statistics
Work EnvironmentData science teams, R&D, product developmentBusiness units, reporting, operational analysis
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Senior Python Data Scientists focus on advanced analytics, machine learning, and building predictive models using Python, often working in R&D or product teams. Data Analysts primarily handle data reporting, visualization, and basic statistical analysis to support business decisions. While both roles require data handling skills, Senior Python Data Science roles demand deeper technical expertise and experience with complex algorithms.

What are popular job titles related to Senior Python Data Science jobs in New Haven, CT? For Senior Python Data Science jobs in New Haven, CT, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Science jobs in New Haven, CT look for? The top searched job categories for Senior Python Data Science jobs in New Haven, CT are:
What cities near New Haven, CT are hiring for Senior Python Data Science jobs? Cities near New Haven, CT with the most Senior Python Data Science job openings:
Senior Python Data Science jobs near you

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Other

Medical, Life, Retirement

Re-posted 6 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,045 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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