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Manager Scala Jobs in Virginia (NOW HIRING)

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Manager Scala information

What jobs use Scala?

Jobs that use Scala include software developers, data engineers, and backend engineers working on big data, distributed systems, or functional programming projects. These roles often require knowledge of tools like Apache Spark, Akka, or Kafka and involve building scalable, high-performance applications. Scala is popular in industries such as finance, technology, and data analytics.

What are the most commonly searched types of Scala jobs in Virginia?

The most popular types of Scala jobs in Virginia are:

What job categories do people searching Manager Scala jobs in Virginia look for?

The top searched job categories for Manager Scala jobs in Virginia are:

What cities in Virginia are hiring for Manager Scala jobs?

Cities in Virginia with the most Manager Scala job openings:

Infographic showing various Manager Scala job openings in Virginia as of August 2026, with employment types broken down into 85% Full Time, 14% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Big Data Engineer - Python/Scala, Spark, Hadoop

Tanisha Systems, Inc.

Arlington, VA • On-site

Other

Posted yesterday

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Job description

Role: Big Data Engineer – Python/Scala, Spark, Hadoop
Location: Arlington, VA (3 Days onsite/week)
Exp Level : 6 to 12 Year
Position : 2
Job Summary:
• Ability to easily move between business, data management, and technical teams; ability to quickly intuit the business use case and identify technical solutions to enable it
• Experience building robust and efficient data pipelines end-to-end with a strong focus on data quality
• High proficiency in using Python or Scala, Spark, Hadoop platforms & tools (Hive, Airflow, NiFi, Scoop), SQL to build Big Data products & platforms
• Experience in building and deploying production-level data-driven applications and data processing workflows/pipelines and/or
• Implementing machine learning systems at scale in Java, Scala, or Python and deliver analytics involving all phases like data ingestion, feature engineering, modeling, tuning, evaluating, monitoring, and presenting
• Cloud knowledge (Databricks or AWS ecosystem) is a plus but not required