1

Databricks Engineer Jobs in Wallingford, CT (NOW HIRING)

Senior Data Engineer (AWS, Databricks)

Hartford, CT · On-site

$105K - $144K/yr

Responsibilities : • Design and build production data pipelines across AWS, Snowflake, Databricks supporting both batch and near real-time analytics workloads. • Establish reusable engineering ...

Databricks Architect/Admin

Hartford, CT · Hybrid

$65.25 - $85.75/hr

Databricks Architect/Admin Job ID: 26-02481 Location: Hartford, CT (Hybrid) Type: Full-Time Seeking ... Collaborate with Data Engineering, Analytics, Infrastructure, and Security teams * Implement ...

These solutions are powered by engineering for business advantage, transforming mission-critical ... Experience with Databricks MLOps or infrastructure setup * Experience coordinating delivery teams ...

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 ...

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 ...

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

next page

Showing results 1-20

Databricks Engineer information

See Wallingford, CT salary details

$59.7K

$111.9K

$203.6K

How much do databricks engineer jobs pay per year?

As of Jun 18, 2026, the average yearly pay for databricks engineer in Wallingford, CT is $111,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,700.00 and $132,900.00 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 Wallingford, CT? For Databricks Engineer jobs in Wallingford, CT, the most frequently searched job titles are:
What job categories do people searching Databricks Engineer jobs in Wallingford, CT look for? The top searched job categories for Databricks Engineer jobs in Wallingford, CT are:
What cities near Wallingford, CT are hiring for Databricks Engineer jobs? Cities near Wallingford, CT with the most Databricks Engineer job openings:

Azure Databricks Developer

Futran Tech Solutions Pvt. Ltd.

Hartford, CT • On-site

$55.50 - $68.75/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Role Senior Developer Azure Databricks
Experience 7-9 Years
Location USA Eastern Time Zone
Technical Skills Primary
Primary Technologies Azure Databricks spark python
Database Technologies SQL MS SQL Server Relational Databases
Adherence to Testing Best Practices Methodologies Unit EndToEnd Etc
Adherence to Application Development Documentation Best Practices
Experience in conducting Design Code Reviews
Strong experience on ETL concepts
Technical Skills Secondary Nice to have NOT MANDATORY
Understanding on ADF platform and framework
Experience on working with XML JSON file
Familiar with Agile software development methodologies preferable JIRA
Soft Skills
As this is an onsite role must have strong written and oral communication skills
Insurance Domain Knowledge
Strong ability to work with client stakeholders
Requirement Review and Work Effort Estimation
Ability to manage offshore team work and code review