JOB TITLE: Data Engineer II
LOCATION: Onsite in Herndon, VA
DURATION: 5 months with possible extension/conversion
PAY RANGE: $58-68/hour
TOP 3 SKILLS: - SQL skills
- AWS experience
- Programming experience in Python, Java, Scala, or NodeJS
Job Description:
Collaborate with Business Intelligence Engineering team members, engineering stakeholders, partner technical teams, and business stakeholders, to gather business and functional requirements, and translate these requirements into a robust, scalable, and operable data infrastructure that works well within the overall AWS data architecture, and leads to improved engineering decisions.
Responsibilities:
- Develop a deep understanding and awareness of operational data from the AWS fleet, and build mechanisms for retrieving and aggregating such data for use by downstream business intelligence solutions.
- Develop a deep understanding of our vast data sources, and provide continuous recommendations for use to solve specific business problems.
- Take ownership of data reliability by, among other things, performing deep-dives to find root causes of potential data anomalies, and taking subsequent action to address these anomalies.
- Continuously optimize the performance of data queries, and address extract, transform, load (ETL) procedures.
- Insist on the highest standards by recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
Required Skills:
- SQL experience
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Years of Experience: 3-5 years
Degree or Certification:
- Bachelors' degree in computer science, data engineering or data analytics
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