Data Engineer

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.

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