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Remote Scala Jobs in Spring, TX (NOW HIRING)

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Arva Intelligence

Data Engineer

Houston, TX · On-site +1

$95K - $130K/yr

Remote Base Salary Range: $95k - $130k General Position Description The Data Engineer is responsible for building and scaling the data and computational backbone that supports Arva's ecosystem ...

Metro National Corporation

Data Engineer

Houston, TX · On-site +1

$109K - $131K/yr

Remote candidates will not be considered. We do not Sponsor Visa's SUMMARY: MetroNational is modernizing its data and analytics capabilities to foster a data-driven culture. We are seeking a skilled ...

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All JobsScala JobsRemote Scala JobsRemote Scala Jobs in Spring, TX

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$16

$52

$69

How much do remote scala jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for remote scala in Spring, TX is $52.50, according to ZipRecruiter salary data. Most workers in this role earn between $45.34 and $58.85 per hour, depending on experience, location, and employer.

What is a remote Scala job?

Remote Scala jobs are positions that allow professionals to work from any location while using the Scala programming language. Scala is a powerful, high-level language that combines object-oriented and functional programming, and is often used in data engineering, backend development, and big data applications. Remote Scala roles can include job titles like Scala Developer, Backend Engineer, or Data Engineer, and typically involve building scalable applications, working with distributed systems, or processing large datasets. These jobs require strong programming skills, familiarity with JVM (Java Virtual Machine) environments, and experience with related tools and frameworks. Working remotely offers flexibility and the ability to collaborate with global teams.

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

To thrive as a Remote Scala Developer, you need strong proficiency in Scala programming, functional programming principles, and experience with JVM-based systems, typically supported by a degree in computer science or related field. Familiarity with tools like sbt, Akka, Play Framework, Git, and cloud platforms such as AWS or Azure is common, and certifications in cloud or Scala development can be advantageous. Outstanding communication skills, self-motivation, and problem-solving ability are essential soft skills in a remote environment. These skills ensure high-quality, efficient code delivery and effective collaboration across distributed teams.

What is the difference between Remote Scala vs Remote Java Developer?

AspectRemote ScalaRemote Java Developer
Required CredentialsBachelor's in CS, Scala certifications (optional)Bachelor's in CS, Java certifications (optional)
Work EnvironmentRemote, collaborative teams, tech companiesRemote, enterprise and tech firms, similar setup
Industry UsageFintech, data engineering, backend developmentEnterprise software, web applications, backend systems
Search & Comparison IntentOften compared for functional programming skillsCommonly compared due to similar backend roles

Remote Scala and Remote Java Developer roles share many similarities, including work environment and industry usage. While Scala emphasizes functional programming and data processing, Java remains a versatile, widely-used language for enterprise applications. Candidates often compare these roles to determine the best fit based on skills and project requirements.

How do remote Scala developers typically collaborate with distributed teams on large-scale projects?

Remote Scala developers often work with cross-functional teams that may include front-end engineers, DevOps specialists, and product managers. Collaboration is facilitated through tools like Git, Jira, and Slack, while code reviews and regular stand-up meetings ensure alignment and maintain code quality. Since Scala is frequently used in backend and data-intensive applications, clear communication and well-documented code are especially important. Adapting to asynchronous workflows and proactively seeking feedback are common strategies for overcoming remote collaboration challenges.

What is a remote Scala job?

Scala is a high-level, general-purpose computer programming language used to develop various types of software. It has been used to develop many popular web-based platforms and has been gaining popularity for the last few years, so opportunities are on the rise. Jobs that use Scala include software engineers, solutions architects, and quality assurance testers. Some roles are remote, while others are on-site, and as a Scala expert, you can work on anything from online shopping sites to platforms that distribute live traffic video. You can also find a wide variety of freelance, temporary, and contract positions on job boards.

More about Remote Scala jobs
What are popular job titles related to Remote Scala jobs in Spring, TX? For Remote Scala jobs in Spring, TX, the most frequently searched job titles are:
What job categories do people searching Remote Scala jobs in Spring, TX look for? The top searched job categories for Remote Scala jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Scala jobs? Cities near Spring, TX with the most Remote Scala job openings:
Remote Scala jobs near you

Senior Data Engineer ID75059

AgileEngine

Houston, TX • On-site, Remote

$101K - $137K/yr

Full-time

Re-posted yesterday

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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