Senior Data Engineer

As a Senior Data Engineer, you will be responsible for designing, building and maintaining extract, transform, and load (ETL) pipelines to enable comprehensive data operations, from ingest to query. You will use your in-depth understanding of data architecture, database management, and data processing workflows, ensuring efficient and secure handling of our data resources. 10 plus years of hands-on data engineering experience Extensive experience in designing, building and managing ETL pipelines Experienced in building ETL pipelines for comprehensive data operations, meeting and exceeding business value requirements, potentially demonstrated through significant experiences or one exceptionally impactful event Experience with Cloud-based systems and/or AI/Machine Learning Development You're an expert with SQL and at least one other programming language such as Scala, Python or Java Demonstrated experience with technologies like Spark, Kafka, Kubernetes, Ansible, Docker, GIT, Linux, Suricata, Zeke, Kibana, Logstash, Elastic Search, Neo4J, Terraform, Artifactory, GitLab, network engineering, AWS Cloud, Airflow, Postgres Experience with React, Angular, Python, JavaScript, CSS, HTML, & Material UI Experience with Agile software development, agile methodologies, agile project management, Software project management, defensive cyber military operations, software development life cycle management, program/project management, systems engineering, strategic planning, cross-functional team. Bachelor's degree in Computer Science, Engineering, Physics, Mathematics or a related field

Clearance Requirements:

Ability to obtain and maintain a Top-Secret clearance. Bachelor's degree in Statistics, Computer Science, Data Science, or a related field

Certifications:

SAFe for Teams Certification, & AWS certifications (Associate Solutions Architect, & AWS Specialty Security within a year of start date) or be able to demonstrate AWS competence using the CLI and Boto. Demonstrated ability to lead technical teams through ambiguous requirements to deliver value to the customer Understanding of data security practices and policies, with the ability to design and implement security measures Exceptional problem-solving abilities and strong analytical skills  Excellent interpersonal and communication skills, able to effectively collaborate with team members and stakeholders Ability to adapt to changing business requirements and learn modern technologies quickly Advanced certification related to data management or data engineering would be a plus

Pay:

$120,000.00 - $160,000.00 per year

Benefits:

401(k) Dental insurance Health insurance Life insurance Paid time off Vision insurance

Work Location:

In person