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Data Engineer Data Analyst Jobs in Hamden, CT (NOW HIRING)

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Partner with Data Science and Analytics teams to operationalize models and AI workflows ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Completion of Currency Transaction Reports for review and accuracy, before submission to the BSA Operations Officer and/or the Sr. BSA Data Analyst for final review and filing. * Completion of daily ...

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Director, Data Engineering

Shelton, CT · On-site

$184K - $230K/yr

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

The Director leads data engineering teams and partners closely with Data Product, Analytics, Platform, and Security leaders to enable trusted, timely, and accessible data across the organization.

Showing results 41-60

Data Engineer Data Analyst information

See Hamden, CT salary details

$33.8K

$82.2K

$135.2K

How much do data engineer data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data engineer data analyst in Hamden, CT is $82,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 per year, depending on experience, location, and employer.

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Hamden, CT? For Data Engineer Data Analyst jobs in Hamden, CT, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Hamden, CT look for? The top searched job categories for Data Engineer Data Analyst jobs in Hamden, CT are:
What cities near Hamden, CT are hiring for Data Engineer Data Analyst jobs? Cities near Hamden, CT with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Hamden, CT as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution, with an average salary of $82,160 per year, or $39.5 per hour.

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 15 days ago


Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,049 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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