Center for Internet Security, Inc.

Senior Data & Analytics Engineer - Remote

Job Locations US
ID
2022-1690
Category
Cybersecurity Operations
Type
Regular Full-Time
Remote?
Yes

Overview

The Senior Data & Analytics Engineer will be a senior technical individual contributor position within CIS’s Operations & Security Services (OSS) Department. The Senior Data & Analytics Engineer will oversee the department's data integration work, including developing a data model, maintaining a data warehouse and analytics environment, and writing scripts for data integration and analysis. Additionally, the Sr. Data & Analytics Engineer must provide expert troubleshooting for a suite of data and analytics tools deployed by OSS to thousands of States, Local, Tribal, and Territorial (SLTT) organizations through the Multi-State Information Sharing & Analysis Center (MS-ISAC) and Elections Infrastructure Information Sharing & Analysis Center (EI-ISAC).

 

The Center for Internet Security (CIS) makes the connected world a safer place for people, businesses, and governments through our core competencies of collaboration and innovation. We are a community-driven nonprofit responsible for industry leading best practices for securing IT systems and data. We lead a global community of IT professionals to continuously evolve these standards and provide products and services to proactively safeguard against emerging threats.

What You'll Do

  • Play an analytical role to develop and manage scalable data processing platforms that OSS uses for exploratory data analysis and real-time analytics.
  • Oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition.
  • Make recommendations to OSS executive leadership on product capabilities, direction, investments, and divestments of technologies, products, and services
  • Serve as the senior technical expert on deployed products including Snowflake, Airflow, and other data tools and analytic platforms
  • Collaborate with stakeholders to construct stories that can be broken down into small merge requests, with the emphasis being on iteration.
  • Create and maintain optimal data pipeline architecture. Provide architecture recommendations and collaboratively plan their implementation
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Work as part of a team that embraces DataOps
  • Build analytics tools that utilize the data pipeline to provide actionable insights into member cyber events, member data, and other key business performance metrics
  • Other tasks and responsibilities as assigned

What You'll Need

  • Bachelor’s degree in information technology, data science, or a related field*
  • 3 – 5 + years’ experience in deploying and managing data and analytic tools in a cloud environment
  • 3 – 5 + years’ experience working in Data Engineering, preferably as a Data Engineer in a fastpaced environment and complex business setting
  • Demonstrated experience building and maintaining reliable and scalable ETL/ELT on big data platforms
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL)
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • A successful history of manipulating, processing, and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience with software engineering best practices, including source control systems (BitBucket, git), CI/CD, automated unit testing
  • Deploy features independently and engage in a code review that ensures conformity to data engineering best practices
  • Experience working in an Agile/Scrum development environment
  • Experience in data modeling and schema design, using tools like Erwin Data Modeler
  • Continuously supporting BI, Analytic, and Data Science teams and their respective toolsets (Domo, SageMaker)
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Snowflake
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Apache Airflow DBT etc.
  • Experience with AWS cloud services: EC2, S3, Datalake, Glue, AppFlow
  • Experience with stream-processing systems: Storm, Spark-Streaming, Apache Kafka, etc.
  • Experience with object-oriented/object function scripting languages: Python, PHP, Java, C++, Scala, etc.
  • Experience with Salesforce as a data source and consuming SaaS data via API’s
  • Solid organizational skills including attention to detail and multi-tasking skills
  • Candidate must be eligible to obtain National Security Clearance
  • The position is open to U.S. citizens and requires a favorably adjudicated DHS Fitness Review for Public Trust Positions**
  • Must be authorized to work in the United States

It's A Plus if You Have: 

  • Advanced degree in Computer Science, Data Science, Business or related field
  • Strong presentation capabilities

*Additional years of relevant experience or a combination of an Associate’s degree or equivalent
and relevant experience may be substituted for the Bachelor’s degree.

 

**Factors that may cause a negative Fitness Review decision include:

  • Criminal Conduct
  • Dishonest Conduct
  • Employment Misconduct
  • Alcohol Abuse
  • Drug Use (illegal drug use or use of a legal drug in a manner that deviates from approved medical direction) Additionally, illegal drug use includes the use of drugs that are illegal for federal purposes despite being legal in select states and countries, such as marijuana.
  • False Statements
  • Financial Issues
  • Have not resided in the US for three (3) of the past five (5) years

At CIS, we are committed to providing an inclusive environment in which the diverse backgrounds, experiences, and views of our employees, members, and customers are valued and respected. It is through this commitment that we are able to work together towards our common mission: to make the connected world a safer place.

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