> Markdown version of [/jobs/ext/2249398-big-data-engineer](https://www.wearedevelopers.com/jobs/ext/2249398-big-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Big Data Engineer - **Company:** PRIMUS Global Services, Inc - **Location:** Arlington, VA, United States - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Big Data, Database Applications, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, Operational Databases, Performance Tuning, Scala (Programming Language), SQL Databases, Sqoop, Feature Engineering, Data Ingestion, Apache Spark, Apache Nifi, Data Pipelines, Databricks - **Published:** August 26, 2026 - **Apply:** https://www.dice.com/job-detail/c397f720-bb4a-4796-9f6a-93c043fa5557 ## About the Role We have an immediate need for an experienced Big Data Engineer with strong expertise in Python/Scala, Apache Spark, Hadoop, SQL, and large-scale data engineering to design, develop, and support robust data pipelines and data-driven applications. This is a hybrid position based in Arlington, VA with 3 days onsite per week for a candidate with deep experience in Python or Scala, Apache Spark, Hadoop, Hive, Apache Airflow, Apache NiFi, Sqoop, SQL, Data Pipelines, Data Ingestion, Data Processing Workflows, Data Quality, Feature Engineering, Machine Learning, Model Development, Tuning, Evaluation, Monitoring, and Production Data Applications. Experience with Databricks or AWS Cloud is a plus. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers)