Data Engineer IV (6324)

RemoteLeads

Northern (KY)

Hybrid

USD 156,000 - 201,000

Full time

14 days+
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Job summary

RemoteLeads seeks a senior data engineer to lead data projects from design through delivery and to support business initiatives with scalable data systems.

You will design, build, test, and maintain enterprise-scale ETL processes and data solutions, collaborating with data architects and IT to deliver value while working remotely in the PST timezone.

Qualifications

  • 8+ years of professional experience in data engineering or related field.
  • Strong experience with Python, data engineering, and ETL processes.
  • Experience designing, developing, testing, and maintaining scalable data solutions.
  • Bachelor’s degree in Computer Science, Computer Engineering, or related field.
  • Ability to work independently and collaborate with cross-functional teams.
  • Strong written, verbal, and presentation communication skills.
  • Must work remotely in the PST timezone; W2 only; no sponsorship.

Responsibilities

  • Manage data engineering projects through the full development and delivery lifecycle.
  • Identify and support business initiatives from a data engineering perspective.
  • Design, build, test, and maintain scalable data management systems.
  • Develop, implement, automate, and maintain enterprise-scale ETL processes.
  • Build high-performance algorithms, prototypes, predictive models, and proofs-of-concepts.
  • Evaluate and maintain data solutions against business requirements and engineering standards.
  • Collaborate with data architects, data modelers, and IT teams to deliver project goals.
  • Participate in internal practice meetings, thought leadership, case studies, learning materials, networking events, and digital transformation initiatives.]
  • CoT_job_summary_short":"COMPANY NAME: RemoteLeads\nKEY POINTS: Data engineering leadership, end-to-end project management, ETL development, remote PST"
  • job_summary_short":"<p>RemoteLeads seeks a senior data engineer to lead data projects from design through delivery and to support business initiatives with scalable data systems.</p><p>You will design, build, test, and maintain enterprise-scale ETL processes and data solutions, collaborating with data architects and IT to deliver value while working remotely in the PST timezone.</p>
  • contract_type":"fulltime","location_type":"remote","remote_scope":"national","perks":[],"stated_min":null,"stated_max":null,"stated_absolute":null,
  • salary_estimation_cot":"Senior Data Engineer in PST remote: market rate for 3-month contract is about $14k–$18k per month, gross, USD.",
  • estimated_low":14000,
  • estimated_medium":16000,
  • estimated_high":18000,
  • currency":"USD","frequency":"monthly","bonus":null,
  • tax":"gross","application_email":null,
  • job_end_date":"2026-12-31","contact_person":null,
  • hiring_department_name":null} } {

Skills

Python
Data engineering
ETL pipelines
Model evaluation
Communication
SharePoint
Cross-functional collaboration
Operational data

Education

Bachelor's degree in CS/CE

Tools

Microsoft SharePoint

Job description

Description:
  • Manage data engineering projects through the full development and delivery lifecycle.
  • Identify and support business initiatives from a data engineering perspective.
  • Design, build, test, and maintain scalable data management systems.
  • Develop, implement, automate, and maintain enterprise-scale ETL processes.
  • Build high-performance algorithms, prototypes, predictive models, and proof-of-concepts.
  • Evaluate and maintain data solutions against business requirements and engineering standards.
  • Collaborate with data architects, data modelers, and IT teams to deliver project goals.
  • Participate in internal practice meetings, thought leadership, case studies, learning materials, networking events, and digital transformation initiatives.
Requirements:
  • 8+ years of professional experience in data engineering or a related technical field.
  • Strong experience with Python, data engineering, and ETL processes.
  • Experience supporting operational data work and workflows.
  • Experience designing, developing, testing, and maintaining scalable data solutions.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a related technical field.
  • Ability to work independently and collaborate effectively with cross-functional teams.
  • Strong written, verbal, and presentation communication skills.
  • Strong PC skills, including Microsoft SharePoint experience.
  • Experience with model evaluation and model measurement pipelines preferred.
  • Experience at Meta and certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI preferred.
  • Must work remotely in the PST timezone; direct W2 candidates only, with no sponsorship available.
Benefits:
  • Comprehensive medical, dental, vision, and life insurance.
  • 401(k) plan with employer matching.
  • Paid holidays.
  • Networking, career learning, and professional development programs.
  • Three-month contract through December 31, 2026, with potential extension or conversion.
  • Remote work environment.
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