Job Description

Hagerty Consulting (www.hagertyconsulting.com) is one of the nation’s leading emergency management and homeland security consulting firms. Known for its public spirit, innovative thinking, problem-solving, and exceptional people, Hagerty is sought after to work on some of the largest, most complex, crisis and emergency management issues. Our services are focused on creating more resilient/sustainable jurisdictions, developing whole community operational plans, supporting recovery eligibility after disasters, and obtaining billion-dollar federal loans and grants.

The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

RESPONSIBILITIES INCLUDE:

• Create and maintain optimal data pipeline architecture
• 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.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Ability to work in an AWS environment to architect and build automated processes for collecting, prepping, and securely transferring delimited data files into a data hub from a variety of resources and providers
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
• Work with data and analytics experts to strive for greater functionality in our data systems

QUALIFICATIONS:

• AWS SysOps certification or other comparable AWS certification.
• Using NIST Big Data Interoperability Framework as a reference architecture
• Strong analytic skills related to working with unstructured datasets
• 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
• Experience supporting and working with cross-functional teams in a dynamic environment
• We are looking for a candidate with 5+ years of experience in a technical field, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field. They should also have experience using the following software/tools:
  • OpenLattice: cloud-hosted, PostgreSQL cluster with RESTful API access and management layer.
  • API architecture and coding
  • SQL
  • Familiar with relational and Datawarehouse concepts
  • Security practices handling confidential data ( PII and PHI) (secure file transfer protocols and secure email transfer)
  • GitHub, Python (Anaconda Community), Ansible, AWS CloudFormation, Talend (FOSS and commercial).
  • Tools and platforms: Snowflake data warehouse, DataBricks (delta lake), PostgreSQL, Mulesoft, SFTP, MS SQL Server
  • DevOps, CI/CD, data analytics

Equal Opportunity Employer Veterans/Disabled