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Contract Databricks Data Engineer Jobs in Maine (NOW HIRING)

$101K - $137K/yr

Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics ... data engineering with a strong focus on data platform and distributed systems. * Hands-on ...

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DevOps Engineer

Portland, ME · On-site

$54.75 - $75/hr

... data-driven solutions. This position requires hands-on experience with Databricks, AWS cloud ... Engineer , you will: • Support the day-to-day administration of enterprise Databricks ...

Data Security Architect

Westbrook, ME · On-site

$64.75 - $83.50/hr

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

Data Security Architect

Westbrook, ME

$64.75 - $83.50/hr

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

Senior Software Engineer

Westbrook, ME · On-site

$124K - $164K/yr

Predicates enforce data contracts: they state what a method must guarantee about the data it ... Experience with our exact stack (Avro, Databricks, Spark, dbt, etc. can be learned on the job)

Software Engineer

Westbrook, ME · On-site

$50 - $60/hr

Predicates enforce data contracts: they state what a method must guarantee about the data it ... Experience with our exact stack (Avro, Databricks, Spark, dbt, etc. can be learned on the job)

Data Architect

Freeport, ME · On-site

$66 - $85/hr

Job Summary (EDP Data Architect): - Senior, hands-on contract role responsible for enterprise data ... engineers, solution architects, and data governance teams. - Central to implementing the ...

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Data Scientist III - FCRM

Portland, ME · On-site

$96K - $155K/yr

Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and ...

Data Scientist III - FCRM

Lewiston, ME · On-site

$96K - $155K/yr

Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience. * Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and ...

Senior Software Engineer

Westbrook, ME · On-site

$124K - $164K/yr

Partner with Data Scientists to productionize machine learning and computer vision models, and ... Databricks (including Databricks Asset Bundles), MLflow, Amazon AWS (EC2, S3, Lambda ...

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Contract Databricks Data Engineer information

What are some common challenges faced by contract Databricks Data Engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

What are Contract Databricks Data Engineers?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What are the key skills and qualifications needed to thrive as a Contract Databricks Data Engineer, and why are they important?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.
What are the most commonly searched types of Databricks Data Engineer jobs in Maine? The most popular types of Databricks Data Engineer jobs in Maine are:
What are popular job titles related to Contract Databricks Data Engineer jobs in Maine? For Contract Databricks Data Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Data Engineer jobs in Maine look for? The top searched job categories for Contract Databricks Data Engineer jobs in Maine are:
What cities in Maine are hiring for Contract Databricks Data Engineer jobs? Cities in Maine with the most Contract Databricks Data Engineer job openings:

Senior Data Engineer | Emerging Products

NinjaOne

On-site, Remote

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

New


Job description

About the Role

At NinjaOne, we're looking for a skilled Senior Data Engineer to join our Emerging Products team and help build the foundation of our modern data platform. You'll play a critical role in designing and scaling lakehouse architectures, building robust streaming and batch pipelines, and ensuring data flows reliably to the analysts and data scientists who depend on it. This is an exciting opportunity to work on greenfield infrastructure using a cutting-edge stack — Kafka, Spark, Iceberg, and Databricks — collaborate with cross-functional teams, and help shape how we harness data to power our next generation of products.

Location — We are flexible on remote working from home, if you are located in the USA and reside in one of the following states: CA, CO, CT, FL, GA, *IL, KS, MA, MD, ME, NJ, NC, NY, OR, TN, TX, VA, and WA. We have physical offices in Austin, TX and Tampa, FL, if you prefer a hybrid option.

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads across hybrid streaming and batch ecosystems. Knowing lakehouse architecture patterns, distributed query engines, and scalable pipeline design will set you up for success.

What You'll Be Doing

  • Lakehouse Architecture: Design and implement Medallion-layer data architectures (Bronze, Silver, Gold), building structured ingestion pipelines and curated data layers that serve downstream analytics and data science workloads.
  • Pipeline Development: Build and maintain scalable streaming and batch data pipelines using Kafka, Spark, and Airflow, supporting reliable and low-latency data movement across the platform.
  • Table Format Management: Own and manage open table formats including Iceberg, Delta, and Hudi — selecting the right format for the workload and maintaining performance and reliability at scale.
  • Query Engine Optimization: Work with Trino/Starburst and Databricks-based environments to optimize large-scale analytics queries and support platform consumers.
  • Platform Reliability: Monitor pipeline health, troubleshoot data quality and performance issues, and continuously improve the reliability and efficiency of the data platform.
  • Collaboration: Partner closely with data scientists, analysts, and product teams to understand data requirements and deliver platform solutions that enable data-driven decision-making.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 10+ years of experience in data engineering with a strong focus on data platform and distributed systems.
  • Hands-on experience building and managing lakehouse architectures, including Medallion (Bronze/Silver/Gold) layering patterns.
  • Deep expertise in Apache Kafka, Apache Spark, and Apache Airflow for both streaming and batch pipeline development.
  • Proficiency in open table formats — Iceberg, Delta Lake, or Hudi — with the ability to evaluate trade-offs and select the right format for the workload.
  • Experience with Databricks for large-scale data processing and analytics workloads.
  • Strong proficiency in Python and SQL.
  • Experience that will make you a standout candidate:
    • Hands-on experience with Trino or Starburst for distributed query execution.
    • Familiarity with hybrid streaming/batch architectures and event-driven data systems.
    • Experience designing Gold-layer datasets optimized for business intelligence and self-serve analytics.

About Us

NinjaOne unifies IT to simplify work for nearly 40,000 customers in 140+ countries. The NinjaOne Unified IT Operations Platform delivers endpoint management, autonomous patching, backup, and remote access in a single console to improve efficiency, increase resilience, and reduce spend. By automating IT and managing all endpoints, organizations give employees a great technology experience at work. NinjaOne is obsessed with customer success and has retained a 98% customer satisfaction score for more than 5 years.

What You'll Love

  • We are a collaborative, kind, and curious community.
  • We honor your flexibility needs with full-time work that is hybrid remote.
  • We have you covered with our comprehensive benefits package, which includes medical, dental, and vision insurance.
  • We help you prepare for your financial future with our 401(k) plan.
  • We prioritize your work-life balance with our unlimited PTO.
  • We reward your work with opportunity for growth and advancement.

Additional Information

This position is NOT eligible for Visa sponsorship. Due to federal government security requirements associated with our FedRAMP-authorized environment, candidates must be U.S. citizens or lawful permanent residents.

*Due to operational policies, NinjaOne is unable to hire for this role within the city limits of Chicago. We will consider all qualified candidates who reside outside of the city proper or are willing to self-relocate.

Starting pay for the successful applicant depends on a variety of job-related factors, including but not limited to location, market demands, experience, job-related knowledge, and skills. The benefits available for this position include medical, dental, vision, 401(k) plan, life insurance coverage and PTO. For roles based in California, Colorado, Maryland, New Jersey, or Washington the base salary hiring range for this position is $110,000 to $200,000 per year.

For roles based in New York, the base salary hiring range for this position is $110,000 to $200,000 per year.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, veteran status, or any other status protected by applicable law. We are committed to providing an inclusive and diverse work environment.