Top 6808 Data Engineer Jobs

Sr Data Engineer
Subway —Shelton, CT
- $102,700 - $128,400 a year
- Azure
- Computer Science
- DevOps
- 401(k)
- Tuition reimbursement
Quick Apply
10d
Lead Data Engineer
Agility Partners —Dublin, OH
- $145,000 - $150,000 a year
- Full-time
- Office
- SQL
- AWS
- Health insurance
- Dental insurance
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Data Center Engineer
Mimecast —Waltham, MA
- $40 - $45 an hour
- Contract
- Microsoft Word
- Background check
- Microsoft Excel
- Health insurance
Quick Apply
Data Engineer
Cleveland Steel Container Corporation —Hudson, OH
- Computer science
- Computer Science
- Mid-level
- Profit sharing
- Paid holidays
Quick Apply
Information Technology Engineer- Cloud Data (Architect, SQL Server Administration, Data Gateway)
LiveOnNY —Long Island City, NY
- $110,000 - $145,000 a year
- Full-time
- Hybrid work
- 7 years
- Azure
- Computer Science
- Disability insurance
- Health insurance
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Data Engineer
Changeis —Remote
- Contract
- Remote
- Mid-level
- Java
- AWS
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Data Engineer II
Inland Empire Health Plan —Rancho Cucamonga, CA
- $104,041.60 - $137,841.60 a year
- Full-time
- Hybrid work
- DevOps
- Mid-level
- Office
- Disability insurance
- Health insurance
Data Platform Engineer, Senior Associate
The Housing Partnership Network —Boston, MA
- $111,200 - $125,100 a year
- Hybrid work
- Computer Science
- Salesforce
- Mid-level
- Health savings account
- Paid holidays
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Data Engineer-Kaiserslautern, Germany
JANSON —Fairfax, VA
- $135,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Quick Apply
Full-Stack Azure Data Engineer
Telecommunications Development Corp. —Laurel, MD
- Full-time
- System design
- SQL
- In-person
Quick Apply
Mid-Level Data Engineer (Kaiserslautern, Germany)
JANSON —Fairfax, VA
- 8 hour shift
- Azure
- Computer Science
- Mid-level
- Health insurance
- Dental insurance
Quick Apply
Senior Data Engineer - Data Integration & Analytics Platforms
Healthcare Claims Management —Indianapolis, IN
- Full-time
- Hybrid work
- Office
- SQL
- Bachelor's degree
- Paid holidays
- Health insurance
Quick Apply
Data Engineer
DCI Solutions —New York, NY
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Software troubleshooting
- Bachelor of Science
- Health savings account
- Relocation assistance
Quick Apply
14d
Senior Data Engineer
Advantage Technical —Chicago, IL
- $55 - $64 an hour
- Temporary
- 6 years
- Computer Science
- Office
- Health savings account
- AD&D insurance
Quick Apply
Senior Data Engineer
CACI —Reston, VA
- $105,100 - $231,100 a year
- Full-time
- Computer Science
- SQL
- Analysis skills
- Health insurance
Data Engineer
AMEGO INC —Attleboro, MA
- $100,000 - $110,000 a year
- Full-time
- HIPAA
- Residential
- SQL
Quick Apply
Senior Data Engineer - Databricks/AI (US Citizen/Hybrid work Required)
IvoryCloud —Rockville, MD
- $155,000 - $200,000 a year
- Full-time
- Hybrid work
- 5 years
- Bachelor of Science
- Office
- Health insurance
- 401(k)
Quick Apply
14d
Data Engineer
Proteam Solutions —Dublin, OH
- Remote
- 7 years
- Azure
- SQL
Quick Apply
7d
Data Engineer
Sun River Health —Remote
- $100,940.07 - $126,175.08 a year
- Full-time
- Remote
- Azure
- HIPAA
- SQL
- Commuter assistance
- Health savings account
Quick Apply
Data Engineer
DCI Solutions —Washington, DC
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- 3 years
- Health savings account
- Relocation assistance
Quick Apply
14d

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Sr Data Engineer

Subway -
Shelton, CT

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Job Details

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

Benefits

401(k)
Tuition reimbursement

Qualifications

Stakeholder management

Full Job Description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.

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.

The Company is only considering applicants who are currently authorized to work in the country the position is based. AA/EOE/D/V

Quick Apply

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