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Senior Databricks Data Engineer Jobs in Connecticut

Databricks Data Engineer

Hartford, CT · On-site

$95 - $150/hr

The ability to work with cross‑functional teams and perform software integration Required Skill and Experience Experience in Azure Databricks, ADF, Snowflake, PySpark and PySQL Preferred Skill and ...

Sr Data Engineer

Shelton, CT · On-site

$114K - $137K/yr

The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Sr Data Engineer - Shelton, CT Ready to build what's next with one of the world's most iconic ... Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data ...

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Showing results 1-20

Senior Databricks Data Engineer information

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

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

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.

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 Senior Databricks Data Engineer jobs in Connecticut?

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

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

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

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

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

Infographic showing various Senior Databricks Data Engineer job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Databricks Data Engineer

Infosys Limited

Hartford, CT • On-site

$95 - $150/hr

Other

Medical, Retirement

Posted 8 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 225 rated it services


Job description

Locations: Arizona, Connecticut, North Carolina, Texas, USA

Overview

The Infosys Insurance unit is dedicated to transforming the insurance industry through innovative digital solutions powered by advanced AI technologies. We blend our industry-leading expertise in consulting and technology to help clients solve complex business problems and unveil hidden value. By integrating AI-driven insights, we enhance our ability to link strategy to execution, leverage cross-industry experience, and accelerate speed to market, ensuring we stay ahead of technological advancements and deliver the best to our clients. Join us to be part of a dynamic team that drives innovation, operational efficiency, and sustainable growth in the insurance sector. You'll have the opportunity to work with cutting‑edge AI technologies, collaborate with industry experts, and contribute to transformative projects that shape the future of insurance. If you're passionate about AI and eager to make a significant impact, the Infosys Insurance unit is the perfect place for you to grow and excel.

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, focusing on maintaining system stability
  • Conduct code reviews, make changes to the codebase and maintain code repositories
  • Implement test strategies, analyse results, and coordinate bug fixes to uphold 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
Your contribution to the team
  • A collaborative spirit and excellent communication skills
  • The ability to handle end‑to‑end SDLC phases from requirement gathering to implementation
  • A knack for translating complex requirements into actionable development tasks
  • A passion for design and hands‑on coding experience
  • A proactive approach to testing, troubleshooting, and refining our applications
  • The ability to work with cross‑functional teams and perform software integration
Required Skill and Experience

Experience in Azure Databricks, ADF, Snowflake, PySpark and PySQL

Preferred Skill and Experience
  • Ability to work in teams in a diverse, multi‑stakeholder environment comprising of Business and Technology teams
  • Experience and desire to work in a global delivery environment
Additional Required Qualifications
  • Bachelor’s degree or foreign equivalent required from an accredited institution. Three years of progressive experience in the specialty may be considered in lieu of one 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
Benefits
  • Long‑term/Short‑term Disability
  • Health and Dependent Care Reimbursement Accounts
  • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
  • 401(k) plan and contributions dependent on salary level
About Us

Infosys is a global leader in next‑generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation. With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI‑powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always‑on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

EEO

Infosys provides equal employment opportunities to applicants and employees without regard to race, color, sex, gender identity, sexual orientation, religious practices and observances, national origin, pregnancy, childbirth, or related medical conditions, status as a protected veteran or spouse/family member of a protected veteran, or disability.

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