Senior Data Engineer

Hi Professionals,

we have a position for Senior Data Engineer/AI-ML Engineer at Denver,CO.

Title: Senior Data Engineer
Loc: Denver,CO
Duration: Long Term contract

We are looking for a strong Spark, SQL Data Engineer candidate who has at least 10 plus years’ experience.

Job Overview:
We are seeking a skilled professional with strong expertise in Python, Spark, and leading AI/ML frameworks to 
design and build scalable, intelligent data solutions. The ideal candidate will have hands-on experience with 
big data platforms and distributed data processing.
Design, develop, and maintain scalable ETL/ELT data pipelines using Apache Spark and SQL
Build and optimize batch and near real-time data processing workflows across large-scale datasets
Develop data ingestion, transformation, and data quality frameworks for enterprise data platforms
Work with Delta Lake, data lakes, and cloud-based big data environments to ensure reliable data processing
Perform data modeling, query tuning, and performance optimization for large datasets
Integrate data from multiple source systems, databases, and external platforms
Implement data validation, monitoring, and troubleshooting processes to ensure data integrity
Collaborate with business analysts, architects, and cross-functional teams to deliver data-driven solutions
Support data governance, security, and compliance requirements across the data ecosystem

Required Skills
Strong proficiency in Apache Spark (PySpark) and SQL
Extnsive experience developing and optimizing ETL/ELT pipelines
Strong understanding of distributed data processing concepts and Spark architecture
Experience working with relational and non-relational databases
Proficiency in data modeling, performance tuning, and query optimization
Experience with workflow orchestration and scheduling tools (e.g., Airflow, Control-M, Azure Data Factory, or similar)
Familiarity with cloud data platforms such as Azure, AWS, or Google Cloud
Strong problem-solving, analytical, and troubleshooting skills