Lead Data Engineer

Job Summary (Lead Data Engineer - Englewood CO)

• Lead the design, development and maintenance of scalable ETL pipelines using Spark to ensure data quality and availability.
• Execute advanced analytics, machine learning and generative AI techniques to enhance network security and operational efficiency.
• Leverage AWS for building and deploying scalable data engineering solutions.
• Implement monitoring, alerting and continuous integration/delivery pipelines for reliable data operations.
• Develop and manage data integration solutions to support analytics/reporting needs.
• Conduct complete analytics lifecycle: data exploration, grooming, modeling, validation and prototyping.
• Analyze diverse data sources (APIs, flat files, databases, distributed file systems) for analytic relevance.
• Interpret and communicate analytic results to drive organizational action and improvements.
• Collaborate with cross-functional teams to integrate analytic solutions into production and educate stakeholders.
• Mentor peers and share expertise in analytic techniques, tools and best practices.
• Required skills:
  
  ETL, ML Ops, AI/ML, Data Warehousing, Spark, Python, Scala/Java, SQL, Big Data tools, statistical analysis.
• Good to have: AWS, Linux, text analysis/mining, No
  
  SQL databases.

• Apache Hive
• S3
• Hadoop
• Redshift
• Spark
• AWS
• Apache Pig
• No
  
  SQL
• Big Data
• Data Warehouse
• Kafka
• Scala

Education/

Experience:

Bachelors (8 years) or Masters (6 years) in computer science or related quantitative field.

Work location:

Onsite in Englewood CO; 12-month contract; visa-independent candidates only.

Employment Type:

Full Time

Vacancy: 1