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AWS DevOps Engineer
Stefanini Group
San Francisco, CA
Stefanini is looking for an AWS DevOps Engineer -Remote
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AI Ops Engineer
OPEN OPENLANE US Inc
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Automations Engineer
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This privately-owned company is rapidly growing and seeking an Automations Controls Engineer to design clear, complete and accurately working products and systems using CAD, rough or…
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IT Applications Engineer
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In this fast-paced, high-energy environment, the IT Applications Engineer is essential to keeping our critical information technology systems up, up-to-date and running smoothly. Working…
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Manufacturing Electrical Equipment Engineer
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CNC Machine Operator
Hubbell Incorporated
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Moves controls to position tool and work piece in relation to each other, and to set specified feeds, speeds and depth of cut.
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CNC Machine Operator
Hubbell Incorporated
Fenton, MO
Moves controls to position tool and work piece in relation to each other, and to set specified feeds, speeds and depth of cut.
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Machine Operator
Hubbell Incorporated
Fenton, MO
Moves controls to position tool and work piece in relation to each other, and to set specified feeds, speeds and depth of cut.
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CNC Machine Operator
Hubbell Incorporated
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Moves controls to position tool and work piece in relation to each other, and to set specified feeds, speeds and depth of cut.
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Maintenance Engineer
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The Maintenance Engineer position is responsible for providing technical and maintenance services throughout the hotel to keep the hotel’s general equipment and systems in excellent…
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Project Engineer
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This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
Added 5 mins ago
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Project Engineer
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- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
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Project Engineer
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- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
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Project Engineer
GPAC
Overland Park, KS
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
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Project Engineer
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Olathe, KS
- $90,000 to $130,000 USD / year
This organization provides full lifecycle mechanical solutions including HVAC, plumbing, controls/building automation, engineering services, and prefabrication support. Projects include…
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Project Executive- Director of Project Excellence
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Strong understanding of electrical power distribution systems, medium-voltage installations, controls, instrumentation, and industrial automation.
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The Principal Supplier Quality Engineer will lead quality activities for supplier transfers, providing Quality Assurance Engineering expertise across design transfer, manufacturing…
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Senior Supplier Quality Engineer
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The Senior Supplier Quality Engineer will support the Global Supplier Quality Supplier Change Implementation function, with a focus on supplier transfers, component qualification, supplier…
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Senior Quality Systems Engineer
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CEL is seeking an experienced Senior Quality Systems Engineer to lead, maintain, and continuously improve the company's Quality Management System across its manufacturing, calibration,…

Virtasant

Lead & Senior Data Engineer

Remote, United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

Lead & Senior Data Engineers Location: Remote United States (US work authorization required) Job Type: Multi-month engagement, likely to extend Openings: 4 positions, 2 Lead and 2 Senior Start Date: Around December 1, 2026 About Virtasant Virtasant is a global technology services company with a network of over 4,000 technology professionals across 130+ countries. We specialize in cloud architecture, infrastructure, migration, and optimization, helping enterprises scale efficiently while maintaining cost control. Our clients range from Fortune 500 companies to fast-growing startups, relying on us to build high-performance infrastructure, optimize cloud environments, and enable continuous delivery at scale. About the Role We are building a team for a large enterprise program in healthcare operations and workforce decisioning. The platform pulls data from the many systems a hospital runs on, maps it into a shared ontology and knowledge graph, and uses it to help executives make operational decisions, act on them and measure the results. The hardest recurring problem is getting messy enterprise data in, clean and trusted, for every new customer. You will build that: connectors and pipelines from HR, scheduling, EHR and external benchmark sources into Snowflake on Azure, mapped to the ontology and published to a Neo4j graph. You will make it repeatable, so the next customer’s data goes live in days, not months. You will work with real, sensitive client data, and you will use AI-assisted development as a normal part of how you build.

Lead vs Senior Both levels are hands-on and write production code every week. Lead: Owns the technical direction of a pod: its design, its standards and the order in which work gets done. Works directly with the client’s architects and data owners to agree source extracts, data contracts and acceptance criteria. Reviews other engineers’ code and designs, and is accountable for what the pod ships. You have led a small team of engineers, set technical direction and worked directly with client architects and stakeholders. Senior: Owns significant pieces end to end, such as a source connector, a set of mappings or the reconciliation for a domain, inside the direction the Lead sets. Works independently, raises problems early and needs no day-to-day supervision. What We're Looking For

You have integrated messy enterprise source systems in production, not just clean APIs. You can talk through two or three: what the source really looked like, how you handled late files, schema drift, duplicates and conflicting records, and what you would do differently.
Strong SQL and Python, and hands-on Snowflake. You have built and run layered pipelines (raw, cleaned, modelled) with dbt or equivalent, with mappings and rules kept as versioned code.
Data contracts and versioned schemas. You define what a source must send, validate it on arrival, quarantine what fails and evolve schemas without breaking what sits downstream.
Data quality, lineage and reconciliation as part of the build. You can prove that totals match the source, trace any number back to the record it came from, and rerun a load without duplicating data.
Regulated or sensitive data. You have worked under PHI/PII controls such as HIPAA: masking and tokenisation, least-privilege access, audit trails and keeping sensitive fields out of places they should not be.
Multi-tenant data platforms with strict per-customer isolation. You have built onboarding that is repeatable: a new customer is configuration and mapping, not a new code base.
Azure experience: storage, identity and infrastructure as code (Terraform or Bicep).
AI-assisted development. You use coding assistants daily and check what they produce.
You must be based in the United States and authorized to work in the US. Occasional domestic travel may be required.
Available around December 1, 2026.

Strong Plus

Healthcare data: HR and workforce systems such as Workday or UKG, scheduling and timekeeping, or EHRs such as Epic, Cerner or MEDITECH.
Graph databases, ideally Neo4j: loading a graph from a warehouse and modelling for it.
Mapping data into an ontology or a common data model shared across many customers.
Entity resolution: matching people and records across systems without a shared identifier.
External benchmark or reference data feeds, by data share or flat file.
Batch pipelines built to be event-ready, with idempotent loads and incremental refresh.
Open lineage and metadata standards such as OpenLineage.
Monitoring data feeds in production: freshness, volume and failure alerts.

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Skills

Scheduling
EHR
Snowflake
Microsoft Azure
Neo4j
SQL
Python
dbt
Onboarding
Infrastructure as code
IBM Terraform
Workday
UKG
EPIC
Cerner
MEDITECH
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