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Databricks Jobs in Connecticut (NOW HIRING)

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Deloitte is seeking a Manager - Databricks to support the design, build, and delivery of modern data and analytics solutions for clients across industries. In this role, you will help teams translate ...

As an experienced Databricks Manager you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity ...

Sr Databricks Data Engineer

Stamford, CT · On-site

$122K - $146K/yr

As a Sr Consultant - Databricks Data Engineer, you will design, build, and optimize scalable data engineering solutions using Databricks across various cloud environments. Responsibilities : • Lead ...

Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

Required : • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Experience of supporting migration of legacy systems to Databricks on cloud ...

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

Required Skill and Experience • Expertise in Databricks platform, security features, Unity Catalog, and data access control mechanisms. Experience of supporting migration of legacy systems to ...

Sr Databricks Data Engineer

Stamford, CT

$122K - $146K/yr

As a Senior Consultant - Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will ...

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Databricks information

See Connecticut salary details

$22.4K

$35.9K

$48.5K

How much do databricks jobs pay per year?

As of Jun 22, 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 job?

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 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.

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 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 Architect/Admin

Databricks Architect/Admin

Sunrise Systems, Inc.

Hartford, CT • Hybrid

$65.25 - $85.75/hr

Other

Posted 25 days ago


Job description

Title: Databricks Architect/Admin Job ID: 26-02481 Location: Hartford, CT (Hybrid) Type: Full-Time
Seeking a senior Databricks Architect/Admin with strong expertise in Databricks platform administration, automation, pipelines, and cost optimization. This role is more consultative and will support an established Databricks team with platform architecture, forecasting, automation, and operational improvements.
Key Responsibilities:
  • Architect and manage Databricks environments, Unity Catalog, and Delta Lake
  • Design and optimize data pipelines, workflows, and automation frameworks
  • Monitor DBU usage, forecasting, and cost optimization strategies
  • Support Unix/Linux administration, shell scripting, and platform operations
  • Collaborate with Data Engineering, Analytics, Infrastructure, and Security teams
  • Implement governance, monitoring, HA/DR, and compliance best practices

Required Skills:
  • 7+ years in Data Engineering/Data Platforms with 4+ years of Databricks experience
  • Expertise in Databricks, PySpark, Python, Delta Lake, DLT, and SQL Warehouses
  • Strong Unix/Linux administration and Bash scripting experience
  • Experience with AWS/Azure/Google Cloud Platform cloud platforms
  • Knowledge of MLflow, AutoML, AI/ML concepts, and automation frameworks
  • Experience with Oracle, Git, Jira, ServiceNow, and ETL tools like Fivetran/Ab Initio

Preferred:
  • Experience with Generative AI/LLM workflows
  • Terraform/Ansible and enterprise orchestration tools
  • Insurance or financial domain experience.