Senior Data Engineer

MA Boston

Rapid7

Level up SecOps with the only endpoint to cloud, unified cybersecurity platform. Confidently act to prevent breaches with a leading MDR partner. Request demo!

View company page

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

200 Constitution Avenue, NW

Room N-5311

Washington, DC 20210

Certifying Office E-mail:  HYPERLINK "mailto:plc.atlanta@dol.gov" plc.atlanta@dol.gov

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  careers@rapid7.com. 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.

Apply now Apply later
  • Share this job via
  • or

Tags: Airflow Architecture AWS Business Analytics Business Intelligence CI/CD Clustering Computer Science DataOps Data pipelines Data warehouse Data Warehousing DevOps Docker EC2 ECS Engineering ETL GitHub Java Kubernetes Machine Learning Pipelines Python R Snowflake Spark SQL Statistics Terraform Testing

Region: North America
Country: United States
Job stats:  2  0  0
Category: Engineering Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.