$130K - 180K a year
Design and implement scalable data engineering solutions using PySpark, Spark, Python, and AWS cloud services, while managing client expectations and working in Agile environments.
10+ years software/data engineering experience with strong PySpark, Spark, Python, SQL, AWS, Databricks, Airflow, DBT, Kubernetes, GitHub, and CI/CD skills, plus excellent communication and problem-solving abilities.
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Key Business Solutions, Inc., is seeking the following. Apply via Dice today! Senior Data Engineer (PySpark, Spark, Python)//12+ Years exp Location- Irvine,CA Duration: Long term JD- Technical Expertise: • Strong hands-on experience with PySpark, Spark, Python, and SQL. • Proficiency in AWS cloud services for data engineering (e.g., S3, EMR, EKS, Glue, Lambda). • Experience with Databricks for scalable data processing and collaborative analytics. • Familiarity with Airflow for orchestration and DBT for transformation. • Experience with Kubernetes for container orchestration. • Version control using GitHub and CI/CD practices. • Professional Experience: • ~10 years of experience in software/data engineering • Proven track record of delivering data solutions in complex environments. • Experience working in client-facing roles and managing stakeholder expectations. • Experience in Agile/Scrum environments. • Soft Skills: • Excellent communication and interpersonal skills. • Strong problem-solving mindset and ability to work independently. • Calm and composed under pressure, with a solution-oriented approach.
This job posting was last updated on 10/14/2025