ZipRecruiter

Log In

1

Databricks Engineer Jobs in Portland, ME (NOW HIRING)

Compunnel

Senior Software Engineer

Westbrook, ME · On-site

$124K - $164K/yr

We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations ... Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda ...

IDEXX Laboratories

Data Security Architect

Westbrook, ME · On-site

$64.75 - $83.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Data platform security controls (Snowflake, Databricks) * Application/API data protection patterns ... Data engineering teams * Application development teams * Cloud platform teams * Enable engineering ...

FirstLight

Carrier Voice Engineer

Brunswick, ME · 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 ...

Milliman

Healthcare Data Analyst (MedInsight)

Portland, ME · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Analyze large healthcare datasets using SQL, Databricks, Python, and other analytical tools ... Collaborate with Product, Consulting, Engineering, and Client Success teams to support ...

Td

Data Scientist - FCRM

Portland, ME · On-site

$96K - $155K/yr

Prior experience and expertise with machine learning, Microsoft Azure, Python, SQL, and Databricks ... Uses a wide range of programing languages (e.g. Python) and techniques for extracting and preparing ...

FocusKPI

Marketing Operations Analyst

Biddeford, ME · On-site

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 ...

FocusKPI

Marketing Operations Analyst

Portland, ME · On-site

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 ...

FocusKPI

Marketing Operations Analyst

Auburn, ME · On-site

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 ...

Loyalty360

Manager Advanced Analytics

Scarborough, ME · On-site

$108.88 - $187.80/hr

Work closely with supply chain engineers and product managers to evolve descriptive insights into ... Experience with Microsoft Azure stack, Hadoop, Hive clusters, Apache Spark, Databricks

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer ... Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL ...

Arkatechture

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer ... Deep expertise with relational databases and cloud data platforms (Snowflake, Databricks, SQL ...

All JobsDatabricks Engineer JobsDatabricks Engineer Jobs in Portland, ME

Databricks Engineer information

See Portland, ME salary details

$60.9K

$114.2K

$207.8K

How much do databricks engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for databricks engineer in Portland, ME is $114,246.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,400.00 and $135,600.00 per year, depending on experience, location, and employer.

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 architecture can earn higher compensation, often exceeding $160,000 per year.

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.

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, and their roles are often available across various industries seeking data-driven solutions.
What job categories do people searching Databricks Engineer jobs in Portland, ME look for? The top searched job categories for Databricks Engineer jobs in Portland, ME are:
Databricks Engineer jobs near you
Infographic showing various Databricks Engineer job openings in Portland, ME as of August 2026, with employment types broken down into 82% Full Time, 13% Part Time, and 5% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $114,246 per year, or $54.9 per hour.

Senior Software Engineer

Compunnel

Westbrook, ME • On-site

$124K - $164K/yr

Contractor

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

Job description

We are seeking an experienced Machine Learning Engineer to join the Machine Learning Operations team in Client's R&D AI Center of Excellence. In this role, you will build and operate the infrastructure that turns Data Scientists' models into production systems - from scalable training and inference pipelines to optimized on-device deployment on edge hardware. The Machine Learning Operations team supports all projects in the Center of Excellence, including Client's inVue Dx's computer vision and microscopy-based diagnostics, and you will contribute to high impact problems.
Job Description:
Partner with Data Scientists to productionize machine learning and computer vision models, and implement scalable, efficient training and inference pipelines
Optimize models for performance and scalability, including GPU/CUDA-level tuning and edge/embedded inference optimization (e.g., TensorRT, DLA)
Work with software engineers and Data Scientists to integrate ML models into production systems on the cloud and at the edge
Collaborate with Data Scientists to identify and analyze data requirements
Develop and implement data preprocessing and feature engineering pipelines
Build and maintain infrastructure-as-code for ML platforms and deployments
Stay up to date with the latest developments in machine learning, computer vision, and MLOps
Required Skillsets:
Previous experience in machine learning as evidenced by delivering solutions into production
Excellent software engineering skills including a test-driven mindset
Strong programming skills in Python and Spark
Experience with distributed computing frameworks such as Ray, and ML frameworks such as PyTorch and modern foundation/vision models
Experience with ML tech stacks, including Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda), containerization technologies such as Docker, and infrastructure-as-code tools including Terraform and CloudFormation
Experience optimizing and deploying models for GPU or edge inference (CUDA, TensorRT); familiarity with NVIDIA edge platforms (Jetson Orin/Thor) and tooling (Nsight, DeepStream SDK) a plus
Familiarity with computer vision and/or microscopy/scientific imaging data a plus
Experience creating and deploying applications to AWS Lambda
High level of comfort with Linux
Experience with SQL
Strong problem-solving and analytical skills
Excellent communication and collaboration skills.
Compunnel logo

About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

FacebookTwitter

View All Compunnel Jobs

Apply