2

Remote Microsoft Data Engineer Jobs in Maine (NOW HIRING)

$101K - $137K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... We hire the best data engineers, but experience in our stack can't hurt: our data platform is built ...

... Engineers to ensure analyses are grounded in reliable data and effectively operationalized. The ... Current remote and field-based Unum employees may apply and will be considered in accordance with ...

Technical Lead, Data Analytics

Portland, ME · On-site +1

$100K - $140K/yr

Remote Compensation: $100,000 - $140,000 / year Description Technical Lead | SQL | Snowflake ... Collaborate across Engineering, Customer Success, and Product teams to deliver scalable customer ...

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on ...

New

next page

Showing results 1-20

Remote Microsoft Data Engineer information

How does a remote Microsoft data engineer typically collaborate with cross-functional teams to deliver data solutions?

As a Remote Microsoft Data Engineer, you will frequently collaborate with data analysts, software engineers, and business stakeholders to design, implement, and optimize data pipelines and storage solutions using Microsoft Azure and related technologies. Communication often occurs through virtual meetings, project management tools, and code repositories, making clear documentation and proactive updates essential. You may participate in sprint planning, code reviews, and troubleshooting sessions to ensure that data solutions align with business goals and technical requirements. Building strong remote working relationships and maintaining transparency are key to successful collaboration in this role.

What is the difference between Remote Microsoft Data Engineer vs Remote Data Analyst?

AspectRemote Microsoft Data EngineerRemote Data Analyst
Required CredentialsMicrosoft certifications, SQL, cloud platform knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentCloud-based, technical teams, data engineering projectsBusiness teams, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare using Microsoft toolsMarketing, retail, finance analyzing data trends

The Remote Microsoft Data Engineer focuses on building and maintaining data pipelines using Microsoft technologies, while the Remote Data Analyst interprets data to provide business insights. Both roles require SQL skills and often work in cloud environments, but their daily tasks and end goals differ significantly.

What is a remote Microsoft data engineer?

A Remote Microsoft Data Engineer is a professional who designs, builds, and manages data solutions using Microsoft technologies, such as Azure Data Factory, SQL Server, and Power BI, while working from a remote location. Their responsibilities include developing data pipelines, implementing data models, and ensuring data quality and security. They collaborate with other IT professionals and business stakeholders to enable effective data-driven decision making within an organization. Working remotely, they use online tools and platforms to communicate and complete their tasks efficiently.

What are the key skills and qualifications needed to thrive as a remote Microsoft data engineer?

To thrive as a Remote Microsoft Data Engineer, you need expertise in data modeling, ETL processes, and strong proficiency with SQL, along with a degree in computer science or a related field. Familiarity with Microsoft data platforms such as Azure Data Factory, SQL Server, Power BI, and relevant certifications like Microsoft Certified: Azure Data Engineer Associate are highly valued. Excellent problem-solving, communication, and collaboration skills are crucial for remote teamwork and effective project execution. These skills ensure the development of robust data solutions, facilitate seamless collaboration, and support informed decision-making in distributed environments.
What are popular job titles related to Remote Microsoft Data Engineer jobs in Maine? For Remote Microsoft Data Engineer jobs in Maine, the most frequently searched job titles are:
What job categories do people searching Remote Microsoft Data Engineer jobs in Maine look for? The top searched job categories for Remote Microsoft Data Engineer jobs in Maine are:
What cities in Maine are hiring for Remote Microsoft Data Engineer jobs? Cities in Maine with the most Remote Microsoft 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 8 days ago


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.