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Senior Amazon Data Engineer Jobs in Hamden, CT (NOW HIRING)

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

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 brands? Why Join Subway? At Subway, we are not standing still. We are building. This is a business ...

Sr Data Engineer

Shelton, CT · On-site

$119K - $149K/yr

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 ...

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 Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer 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 ...

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 Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

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 Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

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 Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer 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 ...

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 Join Subway? At Subway, we are not standing still. We are building. This is a business focused on what ...

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Senior Data Engineer 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 ...

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Showing results 1-20

Senior Amazon Data Engineer information

See Hamden, CT salary details

$80.5K

$125.6K

$174K

How much do senior amazon data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for senior amazon data engineer in Hamden, CT is $125,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,400.00 and $143,200.00 per year, depending on experience, location, and employer.

What does a senior Amazon data engineer do?

A Senior Amazon Data Engineer is responsible for designing, building, and maintaining large-scale data processing systems on Amazon Web Services (AWS) infrastructure. They work with big data technologies, such as Amazon Redshift, AWS Glue, and Amazon S3, to ensure data is efficiently collected, stored, and made accessible for analytics and business intelligence. Additionally, they often lead data engineering teams, optimize data pipelines for performance, and ensure data quality and security standards are met.

What are some common challenges faced by senior Amazon data engineers when working with large-scale datasets?

Senior Amazon Data Engineers often encounter challenges related to optimizing the performance of data pipelines and ensuring data quality at scale. Managing and transforming massive volumes of data requires expertise in distributed systems, efficient data modeling, and automating data validation processes. Additionally, collaborating with cross-functional teams—such as data scientists, analysts, and software engineers—means balancing differing requirements and priorities while maintaining robust, scalable solutions. Staying current with evolving AWS services and best practices is also essential to address these challenges effectively.

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

To thrive as a Senior Amazon Data Engineer, you need advanced proficiency in data modeling, ETL development, SQL, and experience with large-scale data architectures, typically supported by a computer science degree or equivalent. Expertise in AWS services (such as Redshift, S3, Glue), programming languages like Python or Java, and relevant certifications (e.g., AWS Certified Data Analytics) are commonly required. Strong problem-solving abilities, effective communication, and leadership skills distinguish top performers in this role. These skills ensure the efficient design, implementation, and optimization of complex data solutions that drive business insights and support organizational goals.

What is the difference between Senior Amazon Data Engineer vs Amazon Data Engineer?

AspectSenior Amazon Data EngineerAmazon Data Engineer
Required CredentialsTypically requires 5+ years experience, advanced SQL, AWS certificationsEntry to mid-level, foundational SQL, AWS certifications beneficial
Work EnvironmentDesigning complex data pipelines, mentoring, strategic projectsBuilding and maintaining data pipelines, data analysis
Employer & Industry UsageUsed in large-scale data teams within Amazon and similar tech companiesCommon in tech companies, e-commerce, and cloud service providers

The main difference between a Senior Amazon Data Engineer and an Amazon Data Engineer lies in experience, responsibilities, and project complexity. Senior roles involve strategic planning, mentoring, and handling complex data systems, while entry-level roles focus on building and maintaining data pipelines. Both roles require AWS knowledge and data engineering skills, but senior positions demand more experience and leadership capabilities.

What are popular job titles related to Senior Amazon Data Engineer jobs in Hamden, CT?

For Senior Amazon Data Engineer jobs in Hamden, CT, the most frequently searched job titles are:

What job categories do people searching Senior Amazon Data Engineer jobs in Hamden, CT look for?

The top searched job categories for Senior Amazon Data Engineer jobs in Hamden, CT are:

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 25 days ago


Subway rating

4.5

Company rating: 4.5 out of 10

Based on 2,058 frontline employees who took The Breakroom Quiz

93rd 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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