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Data Analytics & Engineering - Data Engineer III (Remote) - DAEDESS #003

NavitasPartners

Houston, TX(remote)

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JOB DETAILS
SKILLS
Algorithms, Analysis Skills, Best Practices, Business Intelligence, Business Operations, Business Process Management, Business Support, Capability Maturity Model Integration (CMMI), Communication Skills, Computer Engineering, Computer Science, Cross-Functional, Data Analysis, Data Management, Data Modeling, Data Processing, Database Extract Transform and Load (ETL), Documentation, ISO (International Organization for Standardization), ITIL (IT Infrastructure Library), Identify Issues, Industry Standards, Operational Audit, Operational Strategy, Operational Support, Performance Analysis, Predictive Modeling, Presentation/Verbal Skills, Problem Solving Skills, Process Improvement, Proof of Concept, Prototyping, Six Sigma Certification, System Architecture, Systems Scalability, Team Player, Technical Delivery, Test Plan/Schedule, Writing Skills
LOCATION
Houston, TX
POSTED
1 day ago

Job Title: Data Analytics & Engineering - Data Engineer III
Location: Remote
Duration: Approximately 26 Weeks

Position Overview:

We are seeking a skilled Data Engineer III to support enterprise-level data engineering and analytics initiatives. This role will focus on developing, maintaining, and optimizing scalable data architectures and ETL solutions that support business operations and analytics strategies. The ideal candidate will possess strong technical expertise, excellent collaboration skills, and experience working within large-scale data environments.

Responsibilities:

  • Design, develop, test, and maintain scalable data management systems and architectures
  • Build and support enterprise-level ETL processes and data pipelines
  • Ensure systems align with business requirements, technical standards, and industry best practices
  • Develop high-performance algorithms, predictive models, prototypes, and proof-of-concept solutions
  • Automate and optimize large-scale data workflows and integration processes
  • Collaborate with data architects, modelers, analysts, and IT teams on project deliverables and technical solutions
  • Monitor system performance and troubleshoot data-related issues as needed
  • Support data governance, quality, security, and integrity initiatives
  • Maintain documentation related to data systems, workflows, and technical processes
  • Participate in process improvement initiatives and operational efficiency efforts

Qualifications:

  • Bachelor’s Degree in Computer Science, Computer Engineering, or a related technical field required
  • Strong experience with enterprise data engineering and ETL development required
  • Ability to work independently and collaboratively within cross-functional teams
  • Excellent written, verbal, and presentation communication skills
  • Strong analytical and problem-solving abilities
  • Proficiency with Microsoft SharePoint and standard PC applications required

Preferred Qualifications:

  • Experience with large-scale enterprise data platforms and architectures preferred
  • Knowledge of predictive modeling and advanced data processing techniques preferred
  • Process certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI preferred
  • Experience supporting analytics and business intelligence initiatives preferred

For more details reach at shubham.sharma@navitassols.com

About the Company

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NavitasPartners

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