Data Engineer 3
About The Position
What you'll do: Work with AI team members to operationalize data pipelines and ML tasks. Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. Present results to a diverse audience in presentation or report form. Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.
Requirements
- TO BE CONSIDERED FOR THIS POSITION YOU MUST CURRENTLY HAVE AN ACTIVE TS/SCI WITH POLYGRAPH SECURITY CLEARANCE WITH THE FEDERAL GOVERNMENT. (U.S. CITIZENSHIP REQUIRED).
- Minimum 10 years experience
- Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience
- Active TS/SCI + Poly
- 8+ years of experience in Data/ML engineering
- Expert Experience with ETL, data labeling, and data preparation
- 8+ years experience with at least 2 of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka
- Expert experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+
- Expert experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.
- Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders
- Ability to perform data analytics on program related or system related activities. -This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize.
Responsibilities
- Work with AI team members to operationalize data pipelines and ML tasks.
- Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities.
- Present results to a diverse audience in presentation or report form.
- Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements.
- Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.
- Ability to perform data analytics on program related or system related activities. -This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize.
Benefits
- Health Coverage: Medical, dental, and vision insurance
- Additional Insurance: Basic Life/AD&D, Voluntary Life/AD&D, Short and Long-Term Disability, Accident, Critical Illness, Hospitalization Indemnity, and Pet Insurance
- Retirement Plan: 401(k) plan with company match
- Paid Time Off: Generous PTO, paid holidays, parental leave, and more
- Wellness: Access to wellness programs and mental health support
- Professional Development: Opportunities for growth, including tuition reimbursement
- Additional Perks: Flexible work arrangements, including remote work options
- Flexible Spending Accounts (FSAs)
- Employee referral programs
- Bonus opportunities
- Technology allowance
- A diverse, inclusive, and supportive workplace culture
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
11-50 employees
