Data Analytics Engineer

Sidram Technologies

  • Santa Clara, CA
  • 5 days ago

    Highlights

    Build scalable analytics, monitoring, and correlation solutions across CAE, Mission Control, and other SPT platforms to turn large engineering and operational datasets into actionable insights. Build analytics for Mission Control covering yield, power, thermal, NVLink, diagnostics, inventory, and other engineering signals.

    Numbers & Facts

    LocationSanta Clara, CA

    Description

    URGENT HIRING DATA ANALYTICS ENGINEER


    Job Title: Senior Data Analytics Engineer
    Location: Santa Clara, California
    Experience Required: 12+ Years Overall IT Experience
    Employment Type: W2 Only
    Work Authorization: US Citizens / H4 EAD Only

    Job Overview

    Build scalable analytics, monitoring, and correlation solutions across CAE, Mission Control, and other SPT platforms to turn large engineering and operational datasets into actionable insights.

    Core Skills
    Advanced SQL
    Python
    Data analysis and transformation
    Large-scale data processing
    Data modeling
    Dashboard and visualization development
    Statistical analysis and anomaly detection
    ETL / ELT pipelines
    Working with time-series and manufacturing/test data
    API-based data integration

    Strongly Preferred
    Databricks
    AWS
    Splunk
    Power BI
    Microsoft Fabric
    Pandas / PySpark
    Machine learning or pattern-detection experience
    Manufacturing, test, telemetry, or semiconductor datasets
    Experience correlating multiple enterprise data sources
    AI/LLM-assisted analytics or agentic workflows

    Expected Responsibilities
    Analyze CAE, manufacturing, test, telemetry, and operational datasets.
    Build analytics for Mission Control covering yield, power, thermal, NVLink, diagnostics, inventory, and other engineering signals.
    Develop automated detection of anomalies, outliers, drift, clusters, and trends.
    Correlate data across sources such as SFC, TestLogs, BOM, diagnostics, shipping, and issue-tracking systems.
    Create dashboards, reports, alerts, and drill-down analytics.
    Develop reusable datasets and data models for engineering teams.
    Partner with subject-matter experts to define meaningful metrics and detection criteria.
    Support AI/agent-based analytics while keeping engineering decisions under human review.
    Improve data quality, performance, and accessibility for downstream applications

    Rachael

    IT Services | Development | Staffing
    Email:

    rachael@sidramtech.com

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