Piper Companies
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a fully remote 6-month contract, offering $100,000-$120,000/year. Required skills include SQL, Python, and Kibana, with 4 years of experience in data engineering and a focus on forecasting and infrastructure analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
545
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🗓️ - Date
February 21, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Observability #Data Modeling #Scripting #Forecasting #Python #Data Engineering #Data Pipeline #Trend Analysis #SQL (Structured Query Language)
Role description
Piper Companies is seeking a Data Engineer to support a leading organization within the managed services and infrastructure operations sector for a fully remote 6‑month contract. The Data Engineer will focus on data pipelines, forecasting workflows, and visibility solutions that guide hardware lifecycle and resource planning.
Responsibilities of the Data Engineer include:
• Design and maintain SQL- and Python‑driven data pipelines supporting forecasting and capacity projections.
• Create data models that underpin long‑term infrastructure planning and utilization insights.
• Build dashboards and observability tools in Kibana for enhanced operational transparency.
• Integrate multiple data sources to improve accuracy in system trend analysis and projections.
• Partner with developers and operational teams to improve data reliability and workflow efficiency.
Qualifications for the Data Engineer include:
• Approximately 4 years of experience in data engineering or a related technical role.
• Strong proficiency with SQL and Python as core toolsets.
• Prior exposure to Kibana for analytics, dashboards, or log exploration.
• Background supporting forecasting, capacity insights, or infrastructure‑driven workloads.
• Ability to contribute to remote, collaborative engineering environments.
Compensation for the Data Engineer:
Salary Range: $100,000-$120,000/year (USD)
Comprehensive Benefits: Medical, Dental, Vision, sick leave if required by law, and 401K.
This job opens for applications on 02/20/26. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords: data engineering, forecasting models, SQL pipelines, Python scripting, Kibana dashboards, infrastructure analytics, resource planning, lifecycle data, operational data modeling, trend analysis.
Piper Companies is seeking a Data Engineer to support a leading organization within the managed services and infrastructure operations sector for a fully remote 6‑month contract. The Data Engineer will focus on data pipelines, forecasting workflows, and visibility solutions that guide hardware lifecycle and resource planning.
Responsibilities of the Data Engineer include:
• Design and maintain SQL- and Python‑driven data pipelines supporting forecasting and capacity projections.
• Create data models that underpin long‑term infrastructure planning and utilization insights.
• Build dashboards and observability tools in Kibana for enhanced operational transparency.
• Integrate multiple data sources to improve accuracy in system trend analysis and projections.
• Partner with developers and operational teams to improve data reliability and workflow efficiency.
Qualifications for the Data Engineer include:
• Approximately 4 years of experience in data engineering or a related technical role.
• Strong proficiency with SQL and Python as core toolsets.
• Prior exposure to Kibana for analytics, dashboards, or log exploration.
• Background supporting forecasting, capacity insights, or infrastructure‑driven workloads.
• Ability to contribute to remote, collaborative engineering environments.
Compensation for the Data Engineer:
Salary Range: $100,000-$120,000/year (USD)
Comprehensive Benefits: Medical, Dental, Vision, sick leave if required by law, and 401K.
This job opens for applications on 02/20/26. Applications for this job will be accepted for at least 30 days from the posting date.
Keywords: data engineering, forecasting models, SQL pipelines, Python scripting, Kibana dashboards, infrastructure analytics, resource planning, lifecycle data, operational data modeling, trend analysis.
