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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 ... Solid understanding of data cleaning, preparation, and feature engineering to support downstream ...

$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 ...

$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 ...

Software Engineer

Portland, ME · On-site +1

$90K - $100K/yr

Remote Compensation: $90,000 - $100,000 / year Description Why Work Here? At Arkatechture, we have ... Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company ...

Remote - U.S.-Based | Atlanta, GA | Dallas, TX Job Type : Full-Time Reports To : VP of IT ... Hands-on Microsoft 365 experience and knowledge required. * Demonstrated experience troubleshooting ...

New

$119K - $157K/yr

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 ...

Founded in 2012, Arkatechture has grown into a nationally recognized data and technology company ... A flexible remote work policy with optional access to our Portland, Maine office * A 4-day workweek ...

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Showing results 1-20

Remote Microsoft Data Engineer information

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.

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 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

NinjaOne

On-site, Remote

$101K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 hours ago


Job description

About the Role

At NinjaOne, we’re looking for a skilled Senior Data Engineer to join the Analytics Platform and Data Science team to help enable product analytics and data science across NinjaOne’s expanding product offering. You’ll build the pipelines and data foundations that provide line of sight into product health, adoption, and performance turning raw, messy data into clean, usable datasets that data scientists, analysts, and stakeholders across the Product organization can rely on. This is an exciting opportunity to work at the intersection of business and highly technical products, partner with teams across Product and Engineering, and help shape how we use data to guide product decisions in a fast-paced environment.

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.

What You'll be Doing

  • Product Visibility & Health: Drive line of sight into how our products are used and performing by building the data foundation behind product health, adoption, and usage analytics.
  • Data Pipeline Development: Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load data from multiple sources, making it usable for analysts and data scientists across the org.
  • Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare structured and unstructured data for modeling — including product usage, adoption, and customer behavior work.
  • Data Cleaning & Preparation: Own the transformation of raw, messy data into clean, well-structured datasets, including feature engineering support (e.g., creating dimensions, discretizing variables).
  • Product Telemetry & Streaming Data: Build and maintain pipelines for product telemetry, event, and streaming data sources as the team’s needs grow.
  • Complex Systems Fluency: Get familiar with NinjaOne’s distributed product architecture and the data it generates, and translate that complexity into clean, well-modeled datasets that bridge business questions with highly technical products.
  • Automation & Optimization: Automate and optimize data workflows to reduce manual processes and improve efficiency in data collection, storage, and processing.
  • Data Visualization: Build dashboards and reports in Tableau and Databricks to expose key data points and trends to business stakeholders.
  • Collaboration: Work closely with data science and analytics teammates and with stakeholders and teams across Product and Engineering to gather requirements and ensure clean, usable data flows to the right people.
  • Other duties as needed.

About You

  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or equivalent work experience preferred.
  • 7+ years of experience in software development, with a strong focus on data engineering and data science.
  • Demonstrated business impact and growth in prior roles
  • Expertise in Python and SQL.
  • Experience building ETL pipelines and managing large-scale data systems.
  • Strong experience with Databricks, dbt, and AWS data services; experience with Unity Catalog is a plus.
  • Comfortable working with structured and unstructured data; experience with product telemetry, event, or streaming data is a plus.
  • Solid understanding of data cleaning, preparation, and feature engineering to support downstream modeling.
  • Experience with Tableau or similar BI tools for dashboarding and visualization.
  • Able to work independently with messy data from sourcing through cleaning to handoff for modeling and comfortable operating in a fast-paced environment.
  • Strong communicator able to work directly with technical and non-technical stakeholders and bridge business needs with highly technical work.

Experience that will make you a standout candidate:

  • Previous experience partnering directly with data scientists or analytics teams on model-ready data pipelines.
  • Experience with product analytics usage metrics, adoption and retention analysis, or telemetry/event data at scale.
  • Understanding of Generative AI and Deep Learning frameworks.
  • Experience with streaming frameworks (e.g., Kafka, Kinesis, Spark Structured Streaming).

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.

We hire the best software engineers, but experience in our stack can't hurt: NinjaOne is built on Java, Kotlin, C++, Golang and Postgres; supporting millions of user endpoints and running as a scalable cloud service in AWS. Knowing large-scale datastore bottlenecks, asynchronous application design, and client-server architecture will help you.

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.

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