Talantix.io
Railroad19•04.03.26
AI SCORE 8.5

Senior Scala Software Engineer (Spark) - Remote

$140K–$180K/year
RemoteBig Data & Software Development
Scala•Spark•AWS•ETL•NoSQL•SQL•Java•Spring Boot•Angular•HTML5•CSS3•Python•Flask

About the Role

We are looking for a Senior Scala Software Engineer (Spark) - Remote to join our dynamic team. In this role, you will leverage your expertise in Scala and Spark to develop scalable data processing solutions that drive our business forward. As a Senior Scala Software Engineer, you will work on exciting projects that involve big data technologies and contribute to innovative solutions that impact our clients and the industry.

What You'll Do

  • Design, develop, and maintain high-performance data processing applications using Scala and Spark.
  • Collaborate with cross-functional teams to define and implement data architecture and ETL processes.
  • Utilize NoSQL databases and SQL for effective data management and retrieval.
  • Implement best practices in software development life cycle (SDLC) and ensure code quality through testing and reviews.
  • Work with cloud technologies, particularly AWS, to deploy and manage applications in a scalable environment.

Requirements

  • 5+ years of experience as a Software Engineer with a focus on Scala and Spark.
  • Strong understanding of big data technologies and frameworks.
  • Experience with database design and ETL processes.
  • Proficiency in Java (Java 8+ and Java 11+) and Spring Boot.
  • Familiarity with front-end technologies such as Angular, HTML5, and CSS3 is a plus.

Nice to Have

  • Experience with Kafka for real-time data streaming.
  • Knowledge of Python and Flask for backend development.
  • Familiarity with Agile methodologies and DevOps practices.

What We Offer

  • Competitive compensation package.
  • Comprehensive medical, dental, and vision insurance.
  • Paid Time Off (PTO) and flexible work arrangements.
  • 401(k) plan with company matching.
  • Opportunities for professional growth and development.
Why This Job8.5 of 10

This Senior Scala Software Engineer (Spark) role offers a unique opportunity to work remotely with cutting-edge big data technologies. Enjoy competitive compensation and benefits while contributing to impactful projects.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficiency in Scala and Spark, with a deep understanding of functional programming concepts and experience in building ETL pipelines for big data processing.

→

Strong familiarity with AWS services such as S3, Lambda, and EMR, demonstrating the ability to architect and deploy scalable solutions in a cloud environment.

→

Experience with NoSQL databases like MongoDB or Cassandra, combined with SQL skills for data manipulation, showcasing a mindset geared towards data-driven decision making and optimization.

Learning Resources

→Scala and Spark for Big Data and Machine Learningcourse
→Apache Spark Documentationguide
→Getting Started with AWS for Developersarticle

Career Path

Senior Scala Software Engineer (Spark)(Now)→Lead Data Engineer(1-2 years)→Engineering Manager(3-5 years)

Market Overview

Market Size 2024
$7.5B
Annual Growth
12.5%
AI Adoption
45%
Investment
+35%
Labour Demand
+20%
Avg Salary
$130K

Skills & Requirements

Required
ScalaSparkAWS
Growing in Demand
KubernetesApache KafkaMachine Learning
Declining
Java EEjQuery

Domain Trends

Increased Adoption of Cloud-Native Solutions
Over 60% of companies are shifting to cloud-native architectures, with Scala and Spark being key technologies in this transition.
Rise of Real-Time Data Processing
The demand for real-time data processing solutions is growing at 30% annually, with Spark being a leading framework in this area.
Integration of AI and Big Data
By 2025, 50% of organizations will integrate AI with big data technologies like Spark, enhancing data analytics capabilities.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.