Senior Hadoop Engineer - United States - 27417 - Maximus

General information

Job Posting Title

Senior Hadoop Engineer

Date

Friday, January 10, 2025

City

Remote

Country

United States

Working time

Full-time

Description & Requirements

We are looking for an experienced Hadoop Engineer to build a cutting-edge data and analytics platform with Big Data and Analytics capabilities for a Federal critical infrastructure agency. They will implement Hadoop to enable integration of cutting-edge technologies (like Artificial Intelligence and Machine learning models) and facilitate surging data requirements across the program. They will deliver accessible, elastic environmental information for the agency and American public, as well as integrate with adjacent data and analytics platforms to provide an enterprise-wide view of environmental and compliance data.

Maximus TCS (Technology and Consulting Services) Internal Job Profile Code: TCS195, T3, Band 6

Major responsibilities include:

Design, model, or implement Big Data structures and capabilities, like Hadoop.
Integrate big data and analytics capabilities to ingest and sustain surging data requirements
Leverage open standards and best practice data models to minimize complexity and enable data integration with adjacent programs.
Effectively collaborate with business and technical agency staff to develop data vision, features, and release cycles.
Interface with technical team members, adjacent program offices, adjacent contractors, and external stakeholders

Minimum Education requirement:

University degree (BS) in a closely related field (Information Technology, Business Administration)

Years of Required Work-Related Experience:

5+ years demonstrated experience creating and sustaining Big Data and analytics platforms.

Required Certifications:

IBM Hadoop certification, or closely related

Minimum Requirements

TCS195, T3, Band 6

• Experience with EPA Program offices, development methodologies, and product lifecycles

EEO Statement

Active military service members, their spouses, and veteran candidates often embody the core competencies Maximus deems essential, and bring a resiliency and dependability that greatly enhances our workforce. We recognize your unique skills and experiences, and want to provide you with a career path that allows you to continue making a difference for our country. We’re proud of our connections to organizations dedicated to serving veterans and their families. If you are transitioning from military to civilian life, have prior service, are a retired veteran or a member of the National Guard or Reserves, or a spouse of an active military service member, we have challenging and rewarding career opportunities available for you. A committed and diverse workforce is our most important resource. Maximus is an Affirmative Action/Equal Opportunity Employer. Maximus provides equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disabled status.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.