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Databricks Engineer Jobs in Connecticut (NOW HIRING)

Deloitte

Databricks Manager

Stamford, CT

Bachelor's degree 6+ years of experience delivering data engineering, analytics, or cloud data platform solutions 3+ years of experience with Databricks and Apache Spark 3+ years of experience with ...

Infosys Limited Digital

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

... Engineering|Databricks AI Engineering Services Overview The Infosys Data and Analytics (DNA) unit is at the forefront of transforming data into actionable insights, driving business growth and ...

Infosys

Azure Databricks Admin

Hartford, CT · On-site

$55.50 - $68.75/hr

Preferred : • Experience in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes ...

Infosys

Azure Databricks Admin

Hartford, CT · On-site

Preferred : • Experience in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes ...

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 ...

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 ...

Milliman

Data Engineer (MedInsight)

Windsor, CT · On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks, Spark, and cloud technologies, who is eager to take ownership of complex data engineering initiatives ...

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 ...

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$56.6K

$106.2K

$193.1K

How much do databricks engineer jobs pay per year?

As of Jun 18, 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 engineers make $500,000?

Senior engineers in high-demand fields such as software engineering, data engineering, and specialized roles like Databricks Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. Compensation often includes base salary, bonuses, and stock options, particularly in large tech companies or startups with significant funding.

Is it hard to get hired at Databricks?

Getting hired as a Databricks Engineer can be competitive, as the role requires strong skills in big data technologies, cloud platforms, and programming languages like Python or Scala. Candidates often need relevant experience, certifications, and a solid understanding of data engineering concepts to succeed in the hiring process.

What is the salary of engineer in Databricks?

The salary of a Databricks Engineer 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 engineering may earn higher compensation. Salaries can also vary based on company size and industry demand.

Is Databricks Data Engineer in demand?

Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and cloud environments. Companies seek professionals skilled in data pipeline development, ETL processes, and cloud tools like AWS or Azure, making this a strong career choice with good job prospects.

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.

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, and why are they important?

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.
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
Databricks Manager

Databricks Manager

Deloitte

Stamford, CT

Other

Posted 26 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

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 business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

Leading the design and delivery of Databricks-based data and analytics solutions for client engagements

Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment

Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities

Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms

Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management

The Team

This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.

Qualifications Required:

Bachelor's degree

6+ years of experience delivering data engineering, analytics, or cloud data platform solutions

3+ years of experience with Databricks and Apache Spark

3+ years of experience with Python and Structured Query Language (SQL)

2+ years of experience leading project teams or workstreams

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Master's degree

Experience with Delta Lake, Unity Catalog, or MLflow

Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience designing batch and streaming data pipelines

Experience with data governance, data quality, or platform security controls

Experience supporting client presentations, proposals, or solution demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Qualifications:

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 business needs into scalable data platform capabilities using Databricks and cloud-based technologies. The ideal candidate brings strong experience leading delivery teams, advising stakeholders, and driving solution execution across complex environments.

Recruiting for this role ends on 07/03/2026.

Work you'll do

Leading the design and delivery of Databricks-based data and analytics solutions for client engagements

Managing project teams and workstreams across requirements gathering, solution design, development, testing, and deployment

Translating business and technical requirements into scalable data pipelines, data models, and platform capabilities

Advising client stakeholders on architecture, implementation approaches, and operating model considerations for modern data platforms

Overseeing solution quality, issue resolution, and delivery progress while supporting project economics and timeline management

The Team

This team supports clients as they modernize their data environments and build scalable platforms for analytics, reporting, and decision-making. Professionals in this area work across strategy, architecture, implementation, and deployment to help organizations improve how they manage and use data. The team often collaborates with business and technology stakeholders to deliver cloud-enabled, enterprise-scale solutions.

Qualifications Required:

Bachelor's degree

6+ years of experience delivering data engineering, analytics, or cloud data platform solutions

3+ years of experience with Databricks and Apache Spark

3+ years of experience with Python and Structured Query Language (SQL)

2+ years of experience leading project teams or workstreams

Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.

Limited immigration sponsorship may be available.

Preferred:

Master's degree

Experience with Delta Lake, Unity Catalog, or MLflow

Experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)

Experience designing batch and streaming data pipelines

Experience with data governance, data quality, or platform security controls

Experience supporting client presentations, proposals, or solution demonstrations

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $134,500 to $265,100.

Information for applicants with a need for accommodation:

https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...


Education:Bachelor's DegreeEmployment Type:

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