ZipRecruiter

Log In

1

Databricks Engineer Jobs in Wallingford, CT (NOW HIRING)

Travelers

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 ...

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

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

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

subway

Sr Data Engineer

Shelton, CT

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

subway

Sr Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Implement Lambda or Kappa architectures using Databricks Structured Streaming / DLT or Snowflake ... Raise engineering maturity by shipping working examples and codifying patterns. * Foster a culture ...

next page

Showing results 1-20

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Wallingford, CT

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 Jul 15, 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 engineer makes $500,000 a year?

Senior Databricks Engineers with extensive experience, specialized skills in big data, cloud platforms, and advanced analytics can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or with significant bonuses and stock options. Such compensation typically requires a combination of technical expertise, leadership roles, and years of industry experience.

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 job market for qualified candidates.

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.

How much does a Databricks engineer make?

A Databricks engineer's salary 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 industry demand and certifications held.

Is Databricks a high paying job?

A Databricks Engineer typically earns a high salary due to the specialized skills required in cloud computing, big data processing, and Spark platform expertise. Compensation varies based on experience, location, and certifications, but it is generally above average for data engineering roles.

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:
Databricks Engineer jobs near you

Azure Databricks Developer

Futran Tech Solutions Pvt. Ltd.

Hartford, CT • On-site

$55.50 - $68.75/hr

Full-time

Posted 15 days ago

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

Apply