Senior Data Engineer ID75059
Orlando, FL · On-site +1
$99K - $134K/yr
... Terraform; - Scala. PERKS AND BENEFITS - Professional growth : Mentorship, TechTalks, and ... Flexible schedule with remote and office options.
Senior Data Engineer ID75059
Orlando, FL · On-site +1
$99K - $134K/yr
... Terraform; - Scala. PERKS AND BENEFITS - Professional growth : Mentorship, TechTalks, and ... Flexible schedule with remote and office options.
Scala Developer Remote information
See Deltona, FL salary details
$34.5K - $43.7K
1% of jobs
$43.7K - $53K
4% of jobs
$53K - $62.3K
2% of jobs
$62.3K - $71.6K
4% of jobs
$71.6K - $80.9K
5% of jobs
$89.6K is the 25th percentile. Wages below this are outliers.
$80.9K - $90.2K
9% of jobs
$90.2K - $99.4K
9% of jobs
$99.4K - $108.7K
10% of jobs
The median wage is $115.7K / yr.
$108.7K - $118K
9% of jobs
$118K - $127.3K
6% of jobs
$131K is the 75th percentile. Wages above this are outliers.
$127.3K - $136.6K
41% of jobs
$34.5K
$111.4K
$136.6K
How much do scala developer remote jobs pay per year?
As of Aug 15, 2026, the average yearly pay for scala developer remote in Deltona, FL is $111,447.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,300.00 and $135,300.00 per year, depending on experience, location, and employer.
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 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.
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 may earn higher salaries, especially in tech hubs or companies requiring advanced knowledge of tools like Akka or Spark.
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.
Are Scala developers in demand?
Scala developers are in high demand due to the language's use in big data, distributed systems, and backend development, especially with frameworks like Apache Spark. Companies seek professionals skilled in functional programming, JVM environments, and related tools, leading to strong job growth in this field.
What are popular job titles related to Scala Developer Remote jobs in Deltona, FL?
For Scala Developer Remote jobs in Deltona, FL, the most frequently searched job titles are:
What job categories do people searching Scala Developer Remote jobs in Deltona, FL look for?
The top searched job categories for Scala Developer Remote jobs in Deltona, FL are:
What cities near Deltona, FL are hiring for Scala Developer Remote jobs?
Cities near Deltona, FL with the most Scala Developer Remote job openings:
$99K - $134K/yr
Full-time
This job post has expired 1 day ago. Applications are no longer accepted.
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.
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.
About AgileEngine
Sourced by ZipRecruiter
Industry
Software development
Company size
201 - 500 Employees
Headquarters location
McLean, VA, US
Year founded
2000