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Databricks Jobs in Connecticut (NOW HIRING)

The Azure Databricks Admin role involves contributing to the requirements elicitation process, facilitating software application design discussions, coding, conducting code reviews, and implementing ...

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 ...

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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 Aug 17, 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.

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 often require skills in Spark, Python, and cloud services. Employee reviews highlight a collaborative environment and opportunities for growth, but experiences can vary depending on the role and team. Job seekers should consider researching specific positions and company culture to determine fit.

What are jobs in Databricks?

Jobs in Databricks refer to employment positions that involve working with the Databricks platform, which is used for big data analytics and machine learning. These roles often require skills in data engineering, data science, or software development, and may involve working with tools like Apache Spark and cloud environments. Job responsibilities can include developing data pipelines, analyzing large datasets, and optimizing performance within the Databricks environment.

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:

    Infographic showing various Databricks job openings in Connecticut as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, and 7% Contract. Highlights an 77% Physical, 6% Hybrid, and 17% Remote job distribution, with an average salary of $35,877 per year, or $17.2 per hour.

    Azure Databricks Admin

    Infosys

    Hartford, CT • On-site

    Full-time

    Re-posted 7 days ago


    Infosys rating

    7.0

    Company rating: 7.0 out of 10

    Based on 62 frontline employees who took The Breakroom Quiz

    152nd of 224 rated it services


    Job description

    Job Summary:
    Infosys is a global leader in next-generation digital services and consulting, specializing in transforming data into actionable insights. The Azure Databricks Admin role involves contributing to the requirements elicitation process, facilitating software application design discussions, coding, conducting code reviews, and implementing test strategies to maintain software quality standards.
    Responsibilities:
    • Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
    • Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
    • Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
    • Conduct code reviews, do changes to the codebase and maintain code repositories
    • Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
    • Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
    • Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
    • Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects
    Qualifications:
    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 platforms like Azure, AWS, or GCP.
    • Skillset of integrating guidelines to configure and integrate Databricks with other existing security tools relevant to data access control.
    • Bachelor’s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
    • This position may require relocation and/or travel to work/project location.
    • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future.
    Preferred:
    • Experience in Azure/AWS big data & analytics technologies, including Databricks, real time data ingestion, data warehouses, serverless ETL, No SQL databases, DevOps, Kubernetes, virtual machines, web/function apps, monitoring and security tools.
    Company:
    Infosys is a technology company that offers consulting, outsourcing, cloud infrastructure, program management, and software services. Founded in 1981, the company is headquartered in Bangalore, IND, with a team of 10001+ employees. The company is currently Late Stage.

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