Lead Data Engineer
Chandler, AZ: Locals Only!
12 Months

Onsite Day 1: Hybrid Model: 3 Days Onsite Per Week!

We are currently looking for a Lead Data Engineer who can:
Lead complex/large data delivery initiatives with broad cybersecurity domain impacts and act as key participant in large scale application planning and implementation for high-value/cyber domain use cases.
Review and analyze complex application enhancement initiatives for domains, including operational or technical improvements that require in depth evaluation of multiple data, functional and non-functional factors including non-functional intangibles or unprecedented factors.
Design and develop feature enhancements or expedite maintenance / fixes on the Data Pipeline framework.
Drive the implementation and adoption of quality engineering practices and automated quality assurance solutions across the data engineering community.
Ensure key risk areas related to data management such as data classification, attribute level data access, data completeness/accuracy, and data use are addressed in the design phase.

Technical Skills:
BigData management practices, MS SQL Server / SSIS development, pySpark, Scala Spark, Google Cloud (BigQuery, Cloud Storage, Flow, Proc, Looker), Jenkins, DevOps, Ansible
Possesses T-shaped engineering skills to address questions/clarifications directly with domain SMEs, quality engineering coverage, and L3/DevOps coverage
Design, develop, and deploy complex data flows, define new data management solutions and standards, create and maintain domain data product designs, and everything else involved in supplying high quality analytical data for cyber security use cases (threat analytics, governed metrics, cybersecurity data science) as well as report issues to engineering teams and product leadership appropriately.
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
Provide code peer review oversight and governance.
Ensure optimal distributed data processing coding practices are defined in the engineering handbook.
Proactively collaborate and consult with internal product teams to resolve highly complex and risky data engineering challenges.
Make decisions in complex and multi-faceted data engineering situations requiring understanding of software package options and programming language and compliance requirements that influence and lead Technology to meet deliverables and drive organizational change
Provide code peer review oversight and governance.
Ensure optimal distributed data processing coding practices are defined in the engineering handbook.
Proactively collaborate and consult with internal product teams to resolve highly complex and risky data engineering challenges

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.