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Databricks Engineer Jobs in Connecticut (NOW HIRING)

The Subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or ... Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.

Teamware Solutions

DATA Engineer

East Hartford, CT · On-site

$113K - $136K/yr

Design and develop end-to-end data pipelines using Apache Spark and Databricks , following ... Mentor junior engineers and conduct code reviews to uphold engineering best practices * Partner ...

Deloitte

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ...

Deloitte

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... Mentor junior and mid-level engineers through code reviews and pair programming * Evaluate new ...

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All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Connecticut

Databricks Engineer information

See Connecticut salary details

$56.6K

$106.2K

$193.1K

How much do databricks engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for databricks engineer in Connecticut is $106,194.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,600.00 and $126,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.
What are popular job titles related to Databricks Engineer jobs in Connecticut? For Databricks Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Connecticut look for? The top searched job categories for Databricks Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Databricks Engineer jobs? Cities in Connecticut with the most Databricks Engineer job openings:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Connecticut as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $106,194 per year, or $51.1 per hour.

Sr. Data Engineer

The Subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 9 days ago

Subway rating

4.4

Company rating: 4.4 out of 10

Based on 2,048 frontline employees who took The Breakroom Quiz

98th of 106 rated fast food restaurants

Job description

We are Subway Headquarters! A dedicated team of professionals supporting thousands of franchisees around the globe.
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 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 will be responsible for the design and development of data pipelines to support System Integrations as well as data pipelines that power our Analytical Platforms. In collaboration with Product Owners and other technical teams, the Sr. Data Engineer will lead significant enterprise-wide work as part of larger cross-functional teams supporting multiple major project initiatives. A candidate will deliver scalable, flexible, and high-quality solutions that conform to Subway's data design and governance strategies, leveraging our cloud data platform built on Snowflake or Databricks along with other modern cloud-based technologies.
Responsibilities include but not limited to:
  • Design and develop data pipelines and integrations that are performant, scalable and flexible.
  • Work with project teams to deliver system integration pipelines, ensuring a high degree of reliability and resiliency.
  • Work with business users and project teams to provide SME guidance, finalize pipeline requirements and develop level of effort estimates.
  • Develop automated testing and deployment scripts to support integrations and pipelines.
  • Provide database support by coding utilities, responding to user questions, and resolving problems.
  • Create and maintain documentation of data pipelines including data flow and data lineage documentation.
  • Responsible for tier 3 support and assisting our Operations Team as required to provide a great customer experience for our users.
  • Responsible for overall data quality as it relates to our Enterprise Data Warehouse and associated Data Marts. Provide data analysis as required to troubleshoot data issues.
  • Assist with integration related code reviews and mentorship of junior developers.
  • Implement data governance and master data management principles as part of data pipeline development and delivery.

Qualifications (some examples listed below):
  • Lakehouse Architecture: Hands-on experience building lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog).
  • Medallion Architecture: Proven ability to design Bronze/Silver/Gold layers for curated, analytics-ready data.
  • Streaming or Batch Processing: Experience implementing Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake Dynamic Tables / Snowpipe Streaming.
  • Semantic Layer: Experience building and managing semantic models using Databricks AI/BI Genie or Unity Catalog Metrics or Snowflake Semantic Views / Cortex Analyst to enable consistent, governed metrics for BI and AI consumption.
  • ETL/ELT Orchestration: Building pipelines with Airflow, Databricks Lakeflow, or Snowflake Openflow; familiarity with dbt is a plus.
  • Programming: Strong PySpark or advanced SQL skills; Python for data engineering or automation.
  • Data Modeling: Dimensional modeling, Data Vault, or schema design for analytical workloads.
  • Performance Tuning: Cluster/warehouse sizing, partitioning, clustering keys, Z-ordering, or query optimization.
  • Governance & Security: Working knowledge of Unity Catalog (Databricks) or Horizon Catalog (Snowflake) for lineage, access control, or data quality.
  • CI/CD & DevOps: Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or deployment pipelines.
  • Cloud Ecosystem: AWS (S3, Glue, Kinesis), Azure, or GCP services supporting modern data platforms.
  • AI/ML Enablement: Familiarity with Databricks Mosaic AI or Snowflake Cortex for GenAI or ML use cases.
  • Collaboration: Strong communication skills to partner with Product Owners, Analysts, or cross-functional engineering teams.
  • Education: Bachelor's degree in Computer or Information Science or related field, or equivalent combination of education and experience.
  • Experience: 5-8 years creating quality data pipelines and system integrations with at least 3 years of experience in a cloud environment.

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 $119,200 - 149,000 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

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