Design, build, and maintain scalable Scala-based Big Data applications and pipelines using Spark and Kafka. Participate in technical design, implement ETL/data modeling and performance tuning, write tests, troubleshoot production issues, and advise stakeholders on best practices to integrate enterprise data into an analytical warehouse.
#Hiringnow We are actively hiring (Scala Software Engineers with Spark)
We are currently seeking several Scala Software Developers who are fluent in Scala & Spark to serve as technical resources for developing clean, maintainable code and integrating enterprise data into a cohesive analytical data warehouse. In addition to contributing code and tangible deliverables, the role is expected to serve as an adviser, helping identify, educate, and foster best-in-class solutions. Creating these relationships requires strong communication skills.
About Railroad19, Inc
- At Railroad19, Inc, we develop customized software solutions and provide software development services. We’re a specialized team of developers and architects. As such, we only bring an “A” team to the table, through hard work and a desire to lead the industry — this is our company culture — this is what sets Railroad19 apart.
- As a Railroad19 employee, you will be part of a company that values your work and gives you the tools you need to succeed. Our headquarters is in Saratoga Springs, New York, but this position is 100% remote. Railroad19 provides competitive compensation and excellent benefits~ including Medical/Dental/Vision/Pet Insurance, Paid Time Off, and 401 (k).
- NO 1099, C2C, Corp-to-Corp, only full-time employment.
- NO Agencies.
Core Responsibilities:
- Understand our client's fast-moving business requirements
- Negotiate appropriate solutions with multiple stakeholders
- Write and maintain scalable enterprise-quality software
- Develop new applications and production application support
- Participate in detailed technical design, development, implementation, and support of Big Data applications using existing and emerging technology platforms.
- Work with large streams of data with tools like Spark and Kafka.
- Manage the complete software development life cycle
- Writing functional and unit tests in order to maintain code quality
- Develop understanding of client business processes, objectives, and solution requirements.
- Participate in project work groups with subject matter experts and stakeholders to understand data specific needs
- Collaborate with other teams in order to deliver a highly performance application that contains little or no defects
- Identify new opportunities, tools, and services to enhance the custom software platform
- Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions
Skills & Experience:
- Advanced Scala development-based software solutions, Scala 2.12/2.13
- Strong experience with Spark and Kafka, working with large streams of data, and experience building data pipelines
- Enterprise experience with NoSQL implementation, including stream processing
- Experience with database design and modeling - logical and physical, ETL development, performance tuning - table partitioning and indexing, process threading, and database storage sizing and maintenance
- Demonstrates willingness to learn new technologies and takes pride in delivering working software
- Excellent oral and written communication skills, analytical, and problem-solving skills
- Bachelor's or master's degree in computer science, computer engineering, or other technical discipline; or equivalent work experience
- This is a non-management position.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
Top Skills
Data Pipelines
ETL
Kafka
NoSQL
Scala 2.12
Scala 2.13
Spark
Stream Processing
Similar Jobs
Biotech
The Senior Software Development Engineer will create scalable services in Scala, work on data warehouse and transformation engines, and collaborate on design and implementation for scientific data analytics.
Top Skills:
AWSDaskDeltalakeElasticsearchFunctional ProgrammingNode.jsRds PostgresScala 2Scala 3SparkVert.X
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Product Manager will define and execute product strategy for Benefits solutions, manage product backlog, collaborate with teams, and drive product activation.
Top Skills:
AgileAPIsConfluenceJIRALooker
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Product Manager will lead product strategy, conduct market research, manage roadmaps, and mentor junior team members, focusing on innovative software solutions.
Top Skills:
APIsConfluenceJIRAPendoReadmeSwagger
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
