1

Freelance Databricks Data Engineer Jobs in Connecticut

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 ...

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 ...

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 ...

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 ...

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 ...

Senior Data Engineer

Hartford, CT · Hybrid

$106K - $145K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Senior Data Engineer

Stamford, CT · Hybrid

$113K - $153K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

Data Architect

Shelton, CT

$64 - $82.25/hr

Partner with Data Engineering teams to implement robust, reusable frameworks and pipeline orchestration; guide adoption of Databricks features Delta Live Tables, Unity Catalog, MLflow, Databricks ...

Data Architect

Shelton, CT · On-site

$120 - $190/hr

Partner with Data Engineering teams to implement robust, reusable frameworks and pipeline orchestration; guide adoption of Databricks features - Delta Live Tables, Unity Catalog, MLflow, Databricks ...

New

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Showing results 41-60

Freelance Databricks Data Engineer information

What is a freelance Databricks data engineer?

Freelance Databricks Data Engineers are independent professionals who specialize in designing, building, and maintaining data pipelines and analytics solutions using the Databricks platform. They work on a contract basis, often helping organizations with data integration, ETL processes, and leveraging Apache Spark for big data analytics. These engineers typically have expertise in cloud platforms, SQL, Python, and other data engineering tools, and they offer flexible support based on project needs.

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

To thrive as a Freelance Databricks Data Engineer, you need strong skills in data engineering, SQL, Python or Scala, and a solid understanding of big data concepts, often supported by a degree in computer science or related fields. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications (like Databricks Certified Data Engineer) is highly valued. Excellent problem-solving, communication, and self-management skills are essential for collaborating remotely with clients and handling diverse projects. These skills enable efficient data pipeline development, scalable analytics, and successful client delivery in dynamic freelance environments.

How do freelance Databricks data engineers typically collaborate with client teams during projects?

Freelance Databricks Data Engineers often work remotely and interact with client teams through regular virtual meetings, project management platforms, and collaboration tools like Slack or Microsoft Teams. Clear communication is crucial, as you'll coordinate closely with data scientists, analysts, and IT stakeholders to understand requirements, deliver solutions, and troubleshoot issues. Establishing a structured workflow and providing frequent progress updates help ensure alignment and project success. Flexibility and proactive problem-solving are especially important in adapting to each client's unique data infrastructure and business goals.

What is the difference between Freelance Databricks Data Engineer vs Freelance Data Engineer?

AspectFreelance Databricks Data Engineer

Required SkillsProficiency in Databricks, Spark, Python, SQL, cloud platforms
Work EnvironmentRemote, project-based, client-specific
CertificationsDatabricks certifications, cloud platform credentials
Industry UsageData analytics, big data projects, AI/ML integrations

Freelance Databricks Data Engineers specialize in building and maintaining data pipelines using Databricks and Spark, often working on big data projects in cloud environments. Freelance Data Engineers may have broader skills across various tools and platforms but might not focus specifically on Databricks. Both roles are remote, project-based, and require similar certifications, but the Databricks-specific expertise makes the Freelance Databricks Data Engineer more specialized in Databricks ecosystems.

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 Freelance Databricks Data Engineer jobs in Connecticut?

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

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

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

What cities in Connecticut are hiring for Freelance Databricks Data Engineer jobs?

Cities in Connecticut with the most Freelance Databricks Data Engineer job openings:

Infographic showing various Freelance Databricks Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution.

Sr. Data Engineer

The Subway

Shelton, CT • On-site

$106K - $144K/yr

Full-time

Medical, Life, Retirement

Re-posted 21 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

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

What Subway employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom