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Overnight Meter Data Analyst Jobs (NOW HIRING)

Commissions, troubleshoots and maintains Automated Meter Reading Substation Communication Equipment ... This work entails the recording of data and then providing technical input for data analysis and ...

Data Architect (SI Level)

Berlin, CT ยท On-site

$63.25 - $81.25/hr

RBAC, encryption, network isolation, audit logging Domain Experience (Preferred): โ€ข Utility meter data schemas โ€ข Event and interval data analytics โ€ข Customer and asset data modeling โ€ข Outage ...

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Overnight Meter Data Analyst information

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$34K

$82.6K

$136K

How much do overnight meter data analyst jobs pay per year?

As of Jun 9, 2026, the average yearly pay for overnight meter data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
What are the most commonly searched types of Meter Data Analyst jobs? The most popular types of Meter Data Analyst jobs are:

Azure Data Architect

Prophecy Technologies

Berlin, CT โ€ข On-site

$63.25 - $81.25/hr

Full-time

Posted 6 days ago


Job description

Role Overview:
Data Architect (SI Level) responsible for designing enterprise data platforms and advanced analytics systems.
Key Responsibilities:
  • Defines enterprise-level data architecture blueprint and standards.
  • Designs ingestion pipelines for AMI, CIS, OMS, GIS, SCADA, Billing.
  • Defines canonical data models for enterprise data sharing.
  • Validates scalability, performance, redundancy, DR architectures.
  • Works with cybersecurity, infrastructure, and platform engineering teams.

Technical Skills:
  • Cloud: Azure (ADF, Synapse, Databricks), AWS, GCP.
  • Architecture patterns: Data Lakehouse, Event Streaming, Lambda/Kappa architectures.
  • Integration: APIs, ESB, Kafka, MQTT, REST, SOAP.
  • Data governance: DQ rules, lineage, metadata, MDM strategies.
  • Security: RBAC, network isolation, encryption, audit logging.

Domain:
  • Utility meter data schemas.
  • Event and interval data analytics.
  • Customer and asset data modelling.
  • Outage & reliability (SAIDI, SAIFI).