Spark is one of the most in-demand skills in the tech industry today. Companies across startups, scale-ups, and enterprises are actively hiring Spark developers to build cutting-edge products and services. We have multiple Spark positions available on LeetHire, with competitive salaries. On LeetHire, you can search for Spark jobs anonymously—your current employer won't know you're looking. All listings show transparent salary ranges upfront, so you never waste time on positions that don't meet your expectations. Connect directly with hiring teams without dealing with third-party recruiters, and block specific companies from seeing your profile if needed. The best Spark jobs rarely come through recruiters. LeetHire gives you direct access to companies actively hiring for your skills—remote, hybrid, or on-site—while keeping your search invisible to anyone you don't want knowing.
See salary ranges, averages, and trends for Spark positions.
View Spark Salary Guide →Apache Spark is a unified analytics engine for large-scale data processing, providing APIs for SQL, streaming, machine learning, and graph processing. Its in-memory computing capabilities make it the standard for big data workloads. Companies hire Spark developers for data engineering, ETL pipelines, machine learning at scale, and real-time analytics on massive datasets. Spark developers work with PySpark or Scala, Spark SQL, Streaming, MLlib, and integration with cloud platforms and data lakes. Understanding distributed computing concepts and optimization techniques is crucial. Spark developer salaries range from $100k to $180k+ with data engineering roles commanding premium compensation. The ecosystem includes Databricks, Delta Lake, and tight integration with cloud data platforms. LeetHire connects Spark developers with companies building data platforms through practical technical assessments.
Learn PySpark first—it's more popular and easier if you know Python. Scala offers better performance and is preferred at some companies. Both are valuable; many teams use PySpark for most work.
Yes, Spark remains the dominant big data processing engine. Databricks (Spark-based) is growing rapidly. Cloud-managed Spark services and Delta Lake keep Spark at the center of data engineering.
Spark developers earn $100k to $180k+ annually. Senior data engineers with Spark expertise typically earn $140k-$180k+, while mid-level positions range from $110k to $150k.
SQL proficiency, Python/Scala, cloud platforms (AWS EMR, Databricks, GCP Dataproc), data warehousing concepts, Delta Lake, Airflow for orchestration, and understanding distributed systems.