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

NavitasPartners
Houston, US
RemoteCareer-pivot friendly

Why this role

Pace
Steady
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor
Career Pivot Friendly
Welcomes transferable skills

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designs, develops, tests, and maintains scalable data management systems and architectures
  • Builds and supports enterprise-level ETL processes and data pipelines
  • Ensures systems align with business requirements, technical standards, and industry best practices
Typical background
Bachelor’s Degree in Computer Science, Computer Engineering, or a related technical fieldStrong experience with enterprise data engineering and ETL development

Transferable backgrounds

  • Coming from Data Architect
  • Coming from ETL Developer

Skills & requirements

Required

ETL DevelopmentData Management SystemsData ArchitecturesPredictive ModelsProcess Certifications

Preferred

Large-scale Enterprise Data Platforms And ArchitecturesPredictive Modeling And Advanced Data Processing Techniques

Stack & domain

Data Management SystemsEtl ProcessesData PipelinesPredictive ModelsData GovernanceData QualityData SecurityData IntegrityMicrosoft SharepointStandard Pc ApplicationsCollaborationCommunicationAnalyticalProblem-solvingSix SigmaCbppBpmIso 20000ItilCmmiData EngineeringEtl Development

About the role

Original posting from NavitasPartners

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

Source: NavitasPartners careers

Similar roles