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Scala Developer Remote Jobs in North Carolina (NOW HIRING)

Sunergi Inc

$110K - $140K/yr

Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL. * Previous experience of dealing with multivariate data at petabyte scale, especially in the ...

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Scala Developer Remote information

See North Carolina salary details

$36.4K

$117.6K

$144K

How much do scala developer remote jobs pay per year?

As of Aug 18, 2026, the average yearly pay for scala developer remote in North Carolina is $117,552.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,300.00 and $142,700.00 per year, depending on experience, location, and employer.

What is a Scala developer remote?

A Scala Developer Remote job involves designing, developing, and maintaining applications using the Scala programming language while working from a remote location. Responsibilities typically include writing functional and scalable code, optimizing performance, and collaborating with teams using tools like Akka, Play Framework, and Spark. These roles often require experience in functional programming, distributed systems, and backend development. Remote Scala developers must also be proficient in communication and collaboration tools to work effectively with teams across different locations.

What are the key skills and qualifications needed to thrive as a Scala developer remote?

To thrive as a Scala Developer Remote, you need expertise in Scala programming, functional programming concepts, and a solid understanding of distributed systems or microservices architecture, often supported by a degree in computer science or a related field. Familiarity with development tools like sbt, Git, continuous integration systems, and experience with frameworks such as Akka, Play, or Spark is commonly required. Excellent problem-solving skills, self-motivation, effective communication, and the ability to collaborate virtually are key soft skills for remote work success. These skills and qualities are crucial for maintaining productivity, delivering high-quality code, and integrating seamlessly within remote development teams.

What are some typical challenges faced by remote Scala developers, and how can they be overcome?

Remote Scala Developers often face challenges related to communication across distributed teams, managing time zones, and staying current with evolving technologies. Building strong rapport with colleagues through regular video calls and active participation in team channels can help bridge communication gaps. Setting clear work routines, using collaborative project management tools, and engaging in continual learning (such as taking online courses or attending virtual meetups) can make remote work more productive and fulfilling. By proactively addressing these challenges, remote Scala Developers can contribute effectively and continue advancing in their careers.

How much do Scala developers make in the US?

Scala developers in the US typically earn between $100,000 and $150,000 annually, depending on experience, location, and skill level. Senior developers with expertise in distributed systems and functional programming can earn higher salaries, especially in tech hubs or companies requiring advanced knowledge of tools like Akka or Spark.

What are the most commonly searched types of Scala Developer jobs in North Carolina?

The most popular types of Scala Developer jobs in North Carolina are:

What are popular job titles related to Scala Developer Remote jobs in North Carolina?

For Scala Developer Remote jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Scala Developer Remote jobs in North Carolina look for?

The top searched job categories for Scala Developer Remote jobs in North Carolina are:

What cities in North Carolina are hiring for Scala Developer Remote jobs?

Cities in North Carolina with the most Scala Developer Remote job openings:

Scala Developer Remote jobs near you
Infographic showing various Scala Developer Remote job openings in North Carolina as of June 2026, with employment types broken down into 2% Internship, 2% As Needed, 39% Full Time, 4% Part Time, 51% Contract, and 2% Nights. Highlights an 38% Physical, 3% Hybrid, and 59% Remote job distribution, with an average salary of $117,552 per year, or $56.5 per hour.

Machine Learning Engineer (Remote)

Sunergi Inc

Remote

$110K - $140K/yr

Full-time

Re-posted 20 days ago

Job description

Sunergi Inc.Machine Learning EngineerFull-time


We are expanding rapidly and are seeking new, experienced and hands-on team members who think outside of the box (and are not afraid to share their thoughts), will deliver unique ideas and like to work in a fast-paced environment on cutting edge projects.


Our missionWe aim to map the best plots for solar panels in the United States.



The Machine Learning Engineer role is all about building, recruiting, management, internal communication and delivery - getting the product out the door, while ensuring the team is hitting their mark. Furthermore, the role will help to grow the engineering team, establish the engineering culture and remove impediments to help team members be able to provide their best.
Key Qualifications
  • You are a core contributor on ML projects with a focus on data ingestion, transformation and presentation for ML apps and reporting.
  • Passionate and dedicated track record of designing and implementing scalable, performant data pipelines, data services, and data products.
  • This is a hands-on position, expect to write more code.
  • Proficiency in at least one programming language (Java, Python or Scala) and a tried understanding of SQL.
  • Previous experience of dealing with multivariate data at petabyte scale, especially in the time-series domain.
  • Be able to communicate collaboratively with Data Scientists and ML Software developers to understand requirements we have and deliver best in class data platform.
  • Previous experience with statistical modeling and deep learning frameworks / libraries we use is required.
  • Strong aptitude for learning new technologies related to Data Management and Data Science.
  • Proven record to create and perform independently and within a fast-paced, team-oriented environment.
  • Work with structured and unstructured data. Perform data cleansing, scraping unstructured data and converting into structured data.
  • Evaluate, benchmark and improve the scalability, robustness, efficiency and performance of big data platform and applications.
  • Experience with Kubernetes, Docker is a plus
Description

In this role, handle implementing data pipelines focused on Machine Learning applications. 


  • You will develop data sets for POCs to demonstrate new insights. 
  • Several of these may lead to fully operational ML models and deploy and own the life-cycle on in-house and third party cloud environments. 
  • You will partner with various cross functional teams to define, develop and implement data technology solutions, with an emphasis on providing superior foundational data for ML applications. 
  • A strong understanding of distributed data systems and experience in using open source frameworks to build applications is required. 
  • A solid understanding of Deep learning platforms such as Keras, Tensor-flow and/or PyTorch is highly desirable, as is an ability to deploy solutions based on these platforms. 
  • Leveraging GPU & CPU resources as appropriate / understanding capacity requirements for ML Workloads, and working with partner teams to ensure scalability, business continuity and appropriate turnaround time is a key part of the operationalization effort. 
  • As a member of the team, you will be expected to take ownership of individual platform components and help set the vision and architecture for those. 
  • In the process, you will identify the requirements of new features, and propose design and drive the solution. 
  • A strong understanding of data governance and data privacy is expected for this role in keeping with Apple's strong commitment to the same.
Education & Experience

B.S or M.S in Computer Science, Mathematics, Statistics, Operational Research, Data Science / equivalent experience.

Additional Requirements
  • 3+ years of proven experience with Kubernetes, Docker is a plus

Compensation

  • 0.25% company equity, with vesting options up to 2%.
  • A strong, competitive salary upon reaching a seed round of funding. In the range of $110k-$140k/ year.



Employment Type: FULL_TIME

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