THIS NOTICE IS BEING POSTED AS A RESULT OF THE FILING OF AN APPLICATION FOR PERMANENT ALIEN LABOR CERTIFICATION FOR THIS JOB OPPORTUNITY. ANY PERSON MAY PROVIDE DOCUMENTARY EVIDENCE BEARING ON THE APPLICATION (SUCH AS INFORMATION ON AVAILABLE WORKERS, WAGES, WORKING CONDITIONS, AND ANY OTHER THAT IS FELT TO BE PERTINENT) TO:
Certifying Officer
U.S. Department of Labor
Employment and Training Administration
Office of Foreign Labor Certification
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Room N-5311
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Certifying Office E-mail: HYPERLINK "mailto:[email protected]" [email protected]
Company: Rapid7 LLC
Location: Boston, MA
Position Title: Senior Data Engineer. Req# 008
Job Description:
Build and maintain the pipelines and applications that ingest, analyze and store Rapid7's enterprise data. Lead the software lifecycle including development, code reviews, testing, deployment, and documentation for batch ETL's. Productionize data and machine learning pipelines with docker containerization and clustering tools (ECS/Kubernetes). Build an environment that enables data scientists to easily develop and productionize Python, R and Spark code on top of a Snowflake data warehouse. Perform data engineering projects within Snowflake such as developing data pipelines, data models and metadata management solutions. Collaborate with stakeholders in product, business, and IT to deliver data products. Work closely with leadership to drive adoption of the latest DevOps and DataOps trends and technologies. Partner with the IT, Infrastructure, and engineering teams on integration efforts between systems that impact data & Analytics. Position is fixed location based in Boston office; however, telecommuting from a home office may also be permitted up to 2 days / week.
Job Requirements:
Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Business Analytics, Statistics, Informatics, Information Systems or a directly related field plus five (5) years of experience as a Business Intelligence Engineer with experience in data engineering or software engineering.
Two (2) years of experience in the following (experience may be gained concurrently):
CI/CD tools, including GitHub Actions and AWS code pipeline.
Docker, EC2, ECS, Terraform
Airflow
Snowflake and SQL
Python or Java
Data architecture, data warehousing, and metadata management
Will accept a Master's degree plus two (2) years of experience as a Business Intelligence Engineer with experience in data engineering or software engineering role in lieu of a Bachelor's degree plus five (5) years of experience.
40 hours/week, 8:00am-5:00pm, Salary: $169,150.00/year.
To apply:Send resumes to [email protected]. Req#008
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or any other status protected by applicable national, federal, state or local law.