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Databricks Jobs in Connecticut (NOW HIRING)

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

The Subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

subway

Sr. Data Engineer

Shelton, CT

$106K - $144K/yr

  • Medical

  • Life

  • Retirement

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 ...

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Showing results 41-60

All JobsDatabricks JobsDatabricks Jobs in Connecticut

Databricks information

See Connecticut salary details

$22.4K

$35.9K

$48.5K

How much do databricks jobs pay per year?

As of Aug 18, 2026, the average yearly pay for databricks in Connecticut is $35,877.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,900.00 and $39,500.00 per year, depending on experience, location, and employer.

What is a Databricks?

A Databricks job is a way to run an automated workload, such as a data pipeline, machine learning model training, or ETL task, on the Databricks platform. Jobs can be scheduled, triggered manually, or run as part of a workflow. They support different task types, including notebooks, Python scripts, JARs, and SQL queries. Databricks jobs also allow for dependency management and orchestration across multiple tasks within a workflow.

What are the typical daily responsibilities of someone working in a Databricks role?

Professionals in Databricks roles typically spend their days developing and maintaining data pipelines, analyzing large datasets, and collaborating with business stakeholders to translate requirements into scalable solutions. They often use tools such as Apache Spark and cloud platforms to design and optimize workflows, while troubleshooting data quality or performance issues that arise. Regular teamwork with data engineers, analysts, and software developers is common, as is participating in sprint planning or code review sessions. Overall, the role combines hands-on technical work with ongoing collaboration to ensure data-driven insights and infrastructure reliability.

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

To thrive in a Databricks role, you need strong programming skills in languages such as Python or Scala, a deep understanding of data engineering or data science principles, and typically a relevant degree in computer science or a related field. Experience with Apache Spark, cloud platforms like Azure or AWS, and Databricks-specific certifications are often highly valued. Exceptional problem-solving, communication, and collaboration skills help professionals excel within multidisciplinary data teams. These capabilities are crucial for successfully designing, developing, and optimizing large-scale data solutions in a fast-evolving analytics environment.

Are Databricks in high demand?

Databricks-related roles, such as data engineers and data scientists, are in high demand due to the platform's widespread adoption for big data analytics and machine learning. Skills in Spark, cloud environments, and data pipeline development increase employability in this field.

Does Databricks hire remote employees?

Databricks offers remote work opportunities for certain roles, especially those related to software engineering, data science, and cloud infrastructure. The availability of remote positions depends on the specific job and team requirements, and candidates should review individual job postings for location details.

Is Databricks a good company to work for?

As a company, Databricks is known for its focus on data analytics and cloud-based platforms, offering roles that involve working with tools like Apache Spark and machine learning. Employee reviews often cite a collaborative environment and opportunities for skill development, though experiences can vary by role and location.

What are jobs in Databricks?

Jobs in Databricks refer to roles that involve developing, managing, and optimizing data workflows using the Databricks platform, which is built on Apache Spark. These positions often require skills in data engineering, data science, or machine learning, and may involve working with cloud environments, SQL, and programming languages like Python or Scala.

What are the most commonly searched types of Databricks jobs in Connecticut?

The most popular types of Databricks jobs in Connecticut are:

What are popular job titles related to Databricks jobs in Connecticut?

For Databricks jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Databricks jobs in Connecticut look for?

The top searched job categories for Databricks jobs in Connecticut are:

What cities in Connecticut are hiring for Databricks jobs?

Cities in Connecticut with the most Databricks job openings:

    Databricks jobs near you
    Infographic showing various Databricks job openings in Connecticut as of August 2026, with employment types broken down into 88% Full Time, 3% Part Time, 2% Temporary, and 7% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $35,877 per year, or $17.2 per hour.

    Sr Data Engineer

    subway

    Shelton, CT • On-site

    $106K - $144K/yr

    Full-time

    Medical, Life, Retirement

    Re-posted 20 days ago

    Subway rating

    4.4

    Company rating: 4.4 out of 10

    Based on 2,054 frontline employees who took The Breakroom Quiz

    98th 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.

    What Subway employees say

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    Benefits

    Hours and flexibility

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