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Databricks Engineer Jobs in New Hampshire (NOW HIRING)

(Senior) Data Architect (w/m/d)

Berlin, NH · On-site

$102.76 - $137.02/hr

Die Capgemini Engineering Service GmbH ist Teil von Capgemini Engineering, dem weltweit führenden ... Databricks (Lakehouse Platform, Spark), Snowflake (AI Data Cloud) sowie Modern Data Stack (dbt ...

New

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Collaborate with cross-functional teams such as IT and engineering to integrate data from various ... Experience working within data platforms like Databricks/Snowflake, and analytics modeling ...

Showing results 21-37

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.

IT Specialist (Data Ingestion & Transformation Engineer)

US Department of the Treasury

Manchester, NH • On-site

$106K/yr

Full-time

Posted 3 days ago

New


U.S. Department Of The Treasury rating

8.2

Company rating: 8.2 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

308th of 848 rated public administrative organizations


Job description

WHAT IS Information Technology - Data & Platform Engineering?
A description of the business units can be found at: https://www.jobs.irs.gov/about/who/business-divisions
  • Position(s) are to be filled in following area(s):
    • IT - Data and Platform Engineering -
    • Consider each location carefully when applying. You will be limited to 1 location choice. If you are selected for a location, that location will be your official post of duty.
Qualifications:

Federal experience is not required. Experience may have been gained in the public sector, private sector or through Volunteer Service. One year of experience refers to full-time work; part-timework is considered on a prorated basis. To ensure full credit for your work experience, please indicate dates of employment by month/day/year, and indicate number of hours worked per week, on your resume.
You must meet the following requirements by the closing date of this announcement.
QUALIFICATION REQUIRMENTS: To qualify for this position, you must meet the qualification requirements outlined below: MINIMUM REQUIREMENTS FOR GRADE 12 LEVEL UP (GS or Equivalent) Applicants must have Information Technology related experience demonstrating each of the following nine competencies: 1) Attention to Detail, 2) Customer Service, 3) Decision Making, 4) Information Management, 5) Interpersonal Skills, 6) Oral Communication, 7) Problem Solving, 8) Teamwork and 9) Technical Competence.SPECIALIZED EXPERIENCE GS-13 LEVEL: You must have one year of specialized experience at a level of difficulty and responsibility equivalent to the GS-12 grade level in the Federal service. Specialized experience for this position includes:

  • Independently applying IT principles, concepts, methods, and practices to plan, analyze, implement, maintain, troubleshoot, or enhance IT systems, services, hardware, software, applications, interfaces, scripts, or related technology environments.
  • Performing computer projects, operational, or application-related assignments involving IT requirements and techniques, including resolving technical issues, validating system, application, or code testing and configuration.
  • Preparing technical documentation and applying federal cybersecurity, privacy, or regulatory requirements.
  • Working directly with customers, stakeholders, users, and technical teams to define business or technical requirements, advising on feasible IT approaches, and implementing secure, reliable, scalable IT solutions, including application enhancements where applicable.
  • Assessing system, service, or application performance, availability, reliability, usability, and operational effectiveness.
  • Identifying risks, recurring issues, or defects; and recommending or implementing corrective actions consistent with established policies and procedures.
  • Analyzing multiple technical alternatives and advising management or IT specialists on the selection, configuration, implementation, or improvement of IT solutions, including application components where applicable, to support mission and operational requirements.
  • Operating Python, Spark, Databricks, and AWS data services. Applying data normalization, ingestion automation, and schema mapping. Utilizing Structured Query Language (SQL) for searching, manipulating, and validating large datasets, and scripting languages like Python for automation and testing.
  • Experience with data quality dimensions (e.g., accuracy, completeness, consistency). Utilizing Extract, Transform, Load (ETL) processes and data pipelines and cloud platforms like Amazon Web Services (AWS), Azure, or (Google Cloud Platform) GCP.
  • Experience Applying DevOps and automation best practices by utilizing CI/CD repositories and pipelines and deployment automation (e.g. GitHub, GitHub Actions workflows) to ensure secure, reliable, repeatable, and scalable delivery of data engineering solutions and platform enhancements.

AND
You must also meet the following requirement(s):

  • PERFORMANCE RATING: Current federal employees must have at least a fully successful or equivalent performance rating to receive consideration.
  • TIME AFTER COMPETITIVE APPOINTMENT (TACA): By the closing date (or if this is an open continuous announcement, by the cut-off date) specified in this job announcement, current civilian employees must have completed at least 90 days of federal civilian service since their latest non-temporary appointment from a competitive referral certificate, known as time after competitive appointment. For this requirement, a competitive appointment is one where you applied to and were appointed from an announcement open to "All US Citizens"
  • TIME IN GRADE (TIG): Federal employees must meet time-in-grade requirements. For positions above the GS-05,applicants must meet applicable time-in-grade requirements to be considered eligible. One year (52 weeks) at the next lower grade level is required to meet the time-in-grade requirements for the grade you are applying for. For positions at the GS-05, you cannot advance to the GS-05 if you have held a GS-02 in the past 52 weeks. There is no TIG restriction for GS-02, 03, or 04 positions.
  • MINIMUM AGE REQUIREMENT: Minimum age for federal employment is 18 years old, or at least 16 years old and have:
    • Graduated from high school or been awarded a certificate equivalent to graduating from high school; or
    • Completed a formal vocational training program; or
    • Received a statement from school authorities agreeing with your preference for employment rather than continuing your education.

For more information on qualifications please refer to OPM's Qualifications Standards.

Education:A college or university degree generally must be from an accredited (or pre-accredited) college or university recognized by the U.S. Department of Education. For a list of schools which meet these criteria, please refer to Department of Education Accreditation page.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Click here (Section 3, Explanation of Terms) or here for Foreign Education Credentialing instructions.
We recommend choosing an evaluator from a member organization of one of the following national associations of credential evaluation services: National Association of Credential Evaluation Services (NACES) or Association of International Credentials Evaluators (AICE).Employment Type: OTHER

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