Top 21 Azure data engineer Jobs in Shelton, Ct

Sr Data Engineer
Subway —Shelton, CT
- $102,700 - $128,400 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
Quick Apply
5d
Sr. Data Engineer
Subway —Shelton, CT
- $119,200 - $149,000 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
Quick Apply
5d
Senior Data Engineer, Growth, Insights & Analytics
Edgewell Personal Care Brands —Shelton, CT
- $112,000 - $168,000 a year
- Hybrid work
- Azure
- 6 years
- ERP systems
- Disability insurance
- Health insurance
Dummy - DevoPS
Nesco Resource, LLC —New Haven, CT
- $120 - $200 a day
- On call
- Computer Science
- Mid-level
- 3 years
- Health insurance
- Dental insurance
Quick Apply
Senior Cloud Engineer
ASML —Wilton, CT
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
- Work from home
5d
IT, Systems Engineer 3 - Storage & Virtualization
Yale University —New Haven, CT
- $93,800 - $140,675 a year
- Full-time
- Hybrid work
- Background check
- Azure
- Research
Full Stack Engineer
Yale University —New Haven, CT
- $68,000 - $120,500 a year
- Full-time
- Hybrid work
- Background check
- Azure
- Computer Science
Sr. Software Engineer
Subway —Shelton, CT
- Computer science
- Computer Science
- 5 years
- 401(k)
- Tuition reimbursement
Quick Apply
3d
DevOps Lead, Embedded Firmware
ASSA ABLOY —New Haven, CT
- Azure
- AWS
- Senior level
- Paid holidays
- Tuition reimbursement
Senior Cloud Engineer (Remote)
Vector Airport Systems —United States
- $140,000 - $160,000 a year
- Full-time
- Remote
- Background check
- 6 years
- System design
- Health insurance
- Dental insurance
3d
Senior Backend .NET Developer - Remote
Planetary Talent —United States
- $120,000 - $140,000 a year
- Full-time
- Remote
- Background check
- 8 years
- SQL
- Health insurance
- Dental insurance
Quick Apply
5d

Other jobs to consider

Find your next job by exploring related positions.

Sr Data Engineer
Subway —Shelton, CT
Communicate technical trade-offs, risks, and decisions clearly to technical and non-technical stakeholders. Mentor Senior and Staff Data Engineers through pair-…
$102,700 - $128,400 a year
Quick Apply
5d
Sr. Data Engineer
Subway —Shelton, CT
Education: Bachelor’s degree in Computer or Information Science or related field, or equivalent combination of education and experience.
$119,200 - $149,000 a year
Quick Apply
5d

Show more related jobs

Explore jobs in cities nearby

Check out jobs in cities near your current location, Columbus

Data Engineer
Proteam Solutions —Dublin, OH
We are seeking an experienced Senior Data Engineer with deep expertise in Databricks to design, develop, and optimize enterprise-scale data pipelines.
Quick Apply
3d
Data Engineer (Job #33237)
InnoSource —Dublin, OH
Sitting at a desk, typing, looking at multiple computer screens, responding to inbound/outbound phone calls, emails, and instant messages throughout the day.
Quick Apply

Show more jobs in cities nearby

I want to receive the latest job alert for azure data engineer in shelton, ct

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

azure data engineer jobs near shelton, ct

Sr Data Engineer

Subway -
Shelton, CT

Quick Apply

Job Details

$102,700 - $128,400 a year
5 days ago

Benefits

401(k)
Tuition reimbursement

Qualifications

Stakeholder management

Full 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.

Quick Apply

Refine Your Search

azure data engineer jobs in shelton, ct

Sr Data Engineer

Sr. Data Engineer

Senior Data Engineer, Growth, Insights & Analytics

Dummy - DevoPS

Senior Cloud Engineer

IT, Systems Engineer 3 - Storage & Virtualization

Full Stack Engineer

Sr. Software Engineer

DevOps Lead, Embedded Firmware

Senior Cloud Engineer (Remote)

Senior Backend .NET Developer - Remote

Other jobs to consider

Explore jobs in cities nearby

I want to receive the latest job alert for azure data engineer in shelton, ct

Explore jobs in more locations

Job Seeker Tools

Employer Tools

Browse

Stay Connected