Lead Data Engineer
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Job Location:
Englewood, CO - USA
Monthly Salary:
Not Disclosed
Posted on:
6 hours ago
Vacancies:
1 Vacancy
Job Summary
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 NoSQL databases.
- 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.
- 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 NoSQL databases.
- 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.
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
