1

Databricks Engineer Jobs in New Hampshire (NOW HIRING)

Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks * Experience ... Understanding of data engineering considerations for AI and machine learning workloads, including ...

New

Senior Staff Software Engineer

Nashua, NH · On-site

$124K - $163K/yr

What You Will Do As a Senior Staff Engineer, you will be a technical leader responsible for shaping ... Familiarity with warehouse-native architectures (Snowflake, BigQuery, Redshift, Databricks) and ...

Sr Data Engineer

Merrimack, NH · On-site

$97K - $125K/yr

... Databricks. • Strong working knowledge of Source Control Applications such as GIT or Bitbucket. • Strong working knowledge of multiple data integration tools such as SQL Server Integration ...

Sr Data Engineer

Merrimack, NH

$108K - $147K/yr

Working under general supervision of the Manager, Data Engineering, relying on experience and ... Databricks. * Strong working knowledge of Source Control Applications, such as GIT or Bitbucket.

Sr Data Engineer

Merrimack, NH

$108K - $147K/yr

Working under general supervision of the Manager, Data Engineering, relying on experience and ... Databricks. * Strong working knowledge of Source Control Applications, such as GIT or Bitbucket.

Sr Data Engineer

Merrimack, NH · On-site

$97K - $125K/yr

Working under general supervision of the Manager, Data Engineering, relying on experience and ... Databricks. Strong working knowledge of Source Control Applications such as GIT or Bitbucket.

Working under general supervision of the Manager, Data Engineering, relying on experience and ... Databricks. Strong working knowledge of Source Control Applications such as GIT or Bitbucket.

Sr Data Engineer

Merrimack, NH · On-site

$97K - $125K/yr

... Databricks. • Strong working knowledge of Source Control Applications such as GIT or Bitbucket. • Strong working knowledge of multiple data integration tools such as SQL Server Integration ...

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

Data Engineer Location: Nashua NH The Data Engineer will support the Information Systems Lead by ... Databricks, Snowflake, or comparable platforms. * Familiarity with lakehouse architecture ...

Data Engineer

Nashua, NH · On-site

$115K - $138K/yr

Data Engineer Location: Nashua NH The Data Engineer will support the Information Systems Lead by ... Databricks, Snowflake, or comparable platforms. * Familiarity with lakehouse architecture ...

The Role: AutoStore is seeking a highly skilled engineer with strong analytical capabilities to ... Experience with Databricks preferred * Core Competencies * Analytical mindset with strong problem ...

The Role: AutoStore is seeking a highly skilled engineer with strong analytical capabilities to ... Experience with Databricks preferred * Core Competencies * Analytical mindset with strong problem ...

The Role: AutoStore is seeking a highly skilled engineer with strong analytical capabilities to ... Experience with Databricks preferred * Core Competencies * Analytical mindset with strong problem ...

Carrier Voice Engineer

Portsmouth, NH · On-site

$75K - $95K/yr

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade ... MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch. * Familiarity with OSS/BSS ...

Carrier Voice Engineer

Manchester, NH · On-site

$75K - $95K/yr

We are seeking an experienced Carrier Voice Engineer to secure, support, and optimize carrier-grade ... MySQL, Snowflake, Databricks, Elasticsearch, or OpenSearch. * Familiarity with OSS/BSS ...

next page

Showing results 1-20

Databricks Engineer information

See New Hampshire salary details

$57.9K

$108.6K

$197.4K

How much do databricks engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for databricks engineer in New Hampshire is $108,563.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $128,900.00 per year, depending on experience, location, and employer.

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?

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 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 $90,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, and data engineering can earn higher compensation, often including bonuses and benefits.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments like AWS or Azure, making them valuable in data-driven organizations across various industries.

What are popular job titles related to Databricks Engineer jobs in New Hampshire?

For Databricks Engineer jobs in New Hampshire, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in New Hampshire look for?

The top searched job categories for Databricks Engineer jobs in New Hampshire are:

What cities in New Hampshire are hiring for Databricks Engineer jobs?

Cities in New Hampshire with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in New Hampshire as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $108,563 per year, or $52.2 per hour.

Software Engineer - Data Engineering

Moody

Manchester, NH • On-site

$110 - $165/hr

Other

Posted 2 days ago

New


Job description

Requisition ID14209-Posted07/22/2026-Manchester - 55 Princess Street

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

Skills and Competencies
  • 1+ years of experience within a data engineering or software development team
  • Hands-on experience designing and developing data integration/ETL pipelines from diverse data sources and formats
  • Hands-on experience with Apache Airflow, dbt, and Python
  • Strong database skills with Postgres SQL, DynamoDB, Snowflake, and Databricks
  • Experience collaborating with Agile teams, product owners, and cross-functional stakeholders, with strong communication skills for both technical and non-technical audiences
  • Awareness of AI-assisted development tools (e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency
  • Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements
Education
  • Bachelor’s degree or equivalet experience; Master’s degree is a plus
Responsibilities

In this role, you will design, build, and support highly scalable data engineering solutions that power Moody’s next‑generation digital content platform.

  • Design, develop, and maintain scalable data pipelines using DataBricks, Snowflake, Apache Airflow, dbt (SQL), and Python within AWS
  • Support platform optimization, infrastructure improvements, process control enhancements, and system upgrades
  • Collaborate with Moody’s technical teams and business partners throughout design and implementation phases
  • Engage cross-functional teams to understand data requirements and deliver scalable solutions
  • Educate and mentor others through code reviews, documentation, and workshops
About the Team

The Digital Content & Innovations Data Engineering team is a collaborative, AI-focused, forward‑thinking group focused on building highly available, cloud‑native data solutions that power Moody’s digital content ecosystem. The team partners closely with multiple engineering and product teams to drive modernization, implement scalable architectures, and deliver innovative solutions that enable reliable, high‑quality content experiences for users across Moody's

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

#J-18808-Ljbffr