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Contract Pi Historian Jobs (NOW HIRING)

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

Collaboration & Documentation · Partner with Reporting & BI on semantic model contracts, RLS, and ... OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, ISA-95/99 basics. · ...

PLC Controls Engineer

Hickory, NC · On-site

$69K - $89K/yr

Hickory, NC Duration: 6 Months Initial 6-month contract, but there is a strong possibility of early ... with the OSI PI (historian) interface. • iFix 5.9 or higher experience • Beckhoff PLC ...

Big Data Engineer

Chester, VA · On-site

$104K - $156K/yr

Collaboration & Documentation • Partner with Reporting & BI on semantic model contracts, RLS, and ... OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, ISA-95/99 basics. • ...

Senior Manufacturing Engineer

Alameda, CA · On-site

$103K - $141K/yr

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

Senior Automation Engineer

Greer, SC · On-site

$100K - $131K/yr

MES, historian (PI, Ignition), and analytics platform experience preferred * Industry 4.0, digital ... VDS engagement benefits include competitive contract rates commensurate with experience and ...

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

Senior Manufacturing Engineer

Alameda, CA

$103K - $141K/yr

This position is offered as a contract engagement with eligibility for conversion to full-time ... Establish a process data historian (e.g., AVEVA PI, InfluxDB) to capture and store time-series ...

Electrical & Controls Systems Engineer

Green Bay, WI · On-site

$77K - $104K/yr

Award contracts, supervise work and commissioning, and track progress and budgets. Qualifications ... Familiarity with PI System / PI Vision or comparable historians. * Experience interpreting P&ID ...

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Contract Pi Historian information

See salary details

$30.5K

$86.3K

$137.5K

How much do contract pi historian jobs pay per year?

As of Jul 13, 2026, the average yearly pay for contract pi historian in the United States is $86,335.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $105,000.00 per year, depending on experience, location, and employer.
What cities are hiring for Contract Pi Historian jobs? Cities with the most Contract Pi Historian job openings:
What are the most commonly searched types of Pi Historian jobs? The most popular types of Pi Historian jobs are:
What states have the most Contract Pi Historian jobs? States with the most job openings for Contract Pi Historian jobs include:
Infographic showing various Contract Pi Historian job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $86,335 per year, or $41.5 per hour.
Big Data Engineer

Big Data Engineer

advansix

Chester, VA • On-site

$104K - $156K/yr

Other

Posted 9 days ago


AdvanSix rating

7.1

Company rating: 7.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

68th of 92 rated chemical manufacturers


Job description

Job Responsibilities:

AdvanSix is seeking a Big Data Engineer to build and operate our enterprise Unified Data Layer (UDL) - spanning IT and OT - to deliver trustworthy, performant data products that power Finance, Operations, Supply Chain & Logistics, HSE, Commercial, and corporate analytics. You’ll engineer batch/CDC/streaming pipelines, model curated/semantic layers, and harden run-state with testing, CI/CD, security, and observability. You’ll partner closely with the data team and larger IT organization.

Mission

Design and deliver scalable, secure data pipelines and data models that safely connect operational systems to analytics, ensure trusted and wellgoverned data, and enable repeatable delivery of BI, ML, AI, and automation solutions.

Data Engineering & Modeling

· Build ingestion pipelines (batch, CDC, streaming) from S/4HANA/DataSphere, PHD/historian, LIMS, TMS, HSE, and other sources into landing → curated → semantic layers.

· Implement data contracts, schema/versioning, SCD handling, partitioning, and performance tuning (file formats, clustering, caching).

· Develop dimensional/semantic models that back certified Power BI datasets and APIs for apps/agents.

OT/IT Integration & Safety

· Integrate OT data via OPC UA/MQTT, broker/DMZ patterns, read-only historian feeds, and event/batch frames—no control-net reads.

· Collaborate with plant controls on change control, signal quality, and downtime windows.

Quality, Security & Observability

· Embed data quality rules, unit/integration tests, and validation checks (freshness, completeness, drift/PSI).

· Instrument lineage and end-to-end monitoring; build alerting and on-call runbooks to minimize MTTR.

· Enforce RBAC, secrets management, PII/HSE classifications, and retention aligned to Governance/MDM policies.

CI/CD, Cost & Reliability

· Automate build/test/deploy with Git-based CI/CD (environments, approvals, blue/green).

· Track and optimize cost/performance (cluster sizing, autoscaling, cache strategy); contribute to FinOps reviews.

Collaboration & Documentation

· Partner with Reporting & BI on semantic model contracts, RLS, and performance SLAs; avoid direct system scraping.

· Produce “readme” docs, data dictionaries, runbooks, and post-incident reviews; support knowledge transfer with vendors.

Basic Qualifications:

· Minimum 5 years' in data engineering building production pipelines at scale (batch/CDC/streaming).

· Hands-on with Azure data stack: Databricks or Fabric/Synapse, ADF/Pipelines, ADLS/OneLake, Azure SQL/SQL MI, Key Vault.

· Strong SQL and Python/PySpark; comfort with Spark Structured Streaming and performance tuning.

· Experience implementing tests/observability (freshness, schema, expectations), and Git-based CI/CD.

· Familiarity with SAP S/4HANA structures and SAP DataSphere semantic modeling.

· OT concepts: historians (PHD/PI), OPC UA/MQTT, event/batch frames, ISA-95/99 basics.

· Understanding of Power BI consumption (semantic models, RLS) and APIs for downstream AI/ML apps/agents.

Preferred Qualifications:

· Time-series/data-quality tooling (e.g., Great Expectations or equivalent patterns), feature/metric stores.

· MDM concepts (keys, survivorship), lineage/catalog tooling.

· TMS/WMS, LIMS, Historian, HSE domain exposure; Lean/Six Sigma mindset; FinOps awareness.

The base salary range for this position is $104,600 to $156,800 annually.


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