> Markdown version of [/jobs/ext/2229339-scala-developer](https://www.wearedevelopers.com/jobs/ext/2229339-scala-developer). 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). --- # Scala Developer - **Company:** Isite Technologies Inc - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Data Warehousing, Apache Hadoop, Apache HBase, Apache Hive, Software Construction, SQL Databases, Data Streaming, Google Cloud, Snowflake, Apache Spark, Containerization, Data Lakes, Kubernetes, Apache Kafka, Software Version Control, Docker, Databricks - **Published:** August 25, 2026 - **Apply:** https://www.dice.com/job-detail/4cd7f615-1dd1-4c4c-b951-7e21c57d0c44 ## About the Role * Strong proficiency in Scala programming. * Solid hands-on experience with Apache Spark (Batch and/or Streaming). * Familiarity with Hadoop ecosystem, Hive, Kafka, or HBase. * Experience with SQL and data transformation logic. * Understanding of software engineering best practices (version control, CI/CD, testing). * Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus. * Experience with Delta Lake, Databricks, or Snowflake. * Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow). * Experience working in an Agile environment. * Knowledge of data warehousing and ETL tools. ## Related Videos - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [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) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)