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Big Data Engineer – Python/Scala, Spark, Hadoop

Tanisha Systems, Inc.Arlington, VA🇺🇸United StatesPosted 20 Aug 2026

Why This Role Stands Out

This Big Data Engineer role offers significant growth opportunities by allowing you to build robust, end-to-end data pipelines using cutting-edge technologies like Python, Scala, Spark, and Hadoop. You'll thrive here if you possess strong technical skills and enjoy bridging the gap between business needs and technical solutions, contributing to impactful data-driven applications. Apply now to join a dynamic team and advance your career in big data!

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Arlington, VA, United States
Posted
3 weeks ago
SQLScalaAWSMachine LearningAirflowDatabricksHadoopHiveJavaPython

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

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