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Databricks Data Engineer Jobs in Connecticut (NOW HIRING)

subway

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 ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

subway

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 ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Chubb

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

We are seeking a skilled and motivated Sr Data Engineer to join our team. The ideal candidate will ... Design, develop, and implement data pipelines and ETL processes using Python and Databricks and/or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

subway

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 ... Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling. * Strong programming skills ...

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All JobsDatabricks Data Engineer JobsDatabricks Data Engineer Jobs in Connecticut

Databricks Data Engineer information

See Connecticut salary details

$42.3K

$123.4K

$168.9K

How much do databricks data engineer jobs pay per year?

As of Jul 2, 2026, the average yearly pay for databricks data engineer in Connecticut is $123,397.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,800.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Connecticut? The most popular types of Databricks Data Engineer jobs in Connecticut are:
What are popular job titles related to Databricks Data Engineer jobs in Connecticut? For Databricks Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Connecticut look for? The top searched job categories for Databricks Data Engineer jobs in Connecticut are:
Databricks Data Engineer jobs near you
Sr Data Engineer

Sr Data Engineer

subway

Shelton, CT • On-site

$106K - $144K/yr

Other

Medical, Life, Retirement

Posted 3 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,016 frontline employees who took The Breakroom Quiz

95th of 104 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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