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Foundry Engineer Jobs in Tennessee (NOW HIRING)

IT America Inc

Palantir Foundry Engineer

Nashville, TN · On-site

Palantir Foundry Engineer Location: Nashville, TN Duration: 6 Months Role Summary: Hands-on Foundry specialist who can design ontology-first data products, engineer high-reliability pipelines, and ...

DPR Construction

MLOps Engineer

Nashville, TN · On-site

MLOps Engineer DPR is a leading construction company committed to delivering high-quality ... Experience in Azure, particularly AKS,ACR, ARM,App Service, Azure Machine Learning and AI Foundry ...

Husch Blackwell Llp

Software Developer

Nashville, TN · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Azure AI Foundry * Azure OpenAI (chat models, embeddings, vector search) * Retrieval-Augmented ...

Deloitte

Azure CMS Engineer

Hermitage, TN · On-site

$48.25 - $59.75/hr

... Foundry) and how they integrate with core Azure infrastructure (VNets, Private Endpoints, Key Vault ... Engineering, or related IT discipline; or equivalent experience • 3+ years of experience working ...

Husch Blackwell Llp

Software Developer

Chattanooga, TN · On-site +1

The Software Developer designs, develops, and deploys modern, AI-driven solutions that enhance ... Azure AI Foundry * Azure OpenAI (chat models, embeddings, vector search) * Retrieval-Augmented ...

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Foundry Engineer information

See Tennessee salary details

$54.5K

$73K

$101.2K

How much do foundry engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for foundry engineer in Tennessee is $72,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,000.00 and $77,100.00 per year, depending on experience, location, and employer.

How much does a foundry engineer make?

A foundry engineer's average salary varies by experience and location but typically ranges from $60,000 to $100,000 annually. Entry-level positions may start lower, while experienced engineers with specialized skills or certifications can earn higher wages, especially in industrial or manufacturing environments with advanced casting processes.

What are Foundry Engineers?

Foundry Engineers are professionals who design, develop, and oversee the processes involved in casting metals into shapes for manufacturing. They work with various materials, such as steel, iron, and aluminum, and are responsible for ensuring quality, efficiency, and safety in foundry operations. Their duties often include process optimization, troubleshooting defects, selecting appropriate materials, and implementing new technologies. Foundry Engineers play a crucial role in industries such as automotive, aerospace, and heavy machinery, where precise metal components are essential.

What engineers make $200,000 a year?

Foundry engineers, especially those with extensive experience, specialized skills, and working in high-demand industries or locations, can earn $200,000 or more annually. Senior roles often require advanced knowledge of metallurgy, process control, and equipment management, along with certifications and leadership responsibilities.

What does a foundry engineer do?

A foundry engineer designs, develops, and oversees the manufacturing of metal castings in foundries. They analyze mold designs, select appropriate materials, and ensure quality control while using tools like CAD software and adhering to safety standards. Their work involves optimizing casting processes and troubleshooting production issues to improve efficiency and product quality.

What are the key skills and qualifications needed to thrive as a Foundry Engineer, and why are they important?

To excel as a Foundry Engineer, a thorough understanding of metallurgy, casting processes, and materials science is essential, usually backed by a degree in engineering or a related field. Familiarity with computer-aided design (CAD) software, simulation tools, and quality control systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help in troubleshooting and collaborating with production teams. These competencies are vital for ensuring efficient, high-quality casting production and for maintaining safety and cost-effectiveness in foundry operations.

What engineers make $500,000 a year?

Highly experienced engineers in specialized fields such as petroleum engineering, aerospace engineering, or certain senior roles in software engineering can earn $500,000 or more annually, often including bonuses and stock options. These positions typically require advanced skills, extensive experience, and often involve leadership or executive responsibilities.

What are some common challenges Foundry Engineers face when working with new alloys or casting techniques?

Foundry Engineers often encounter challenges such as unpredictable material behavior, difficulty in achieving desired mechanical properties, and managing defects like porosity or cracking when working with new alloys or casting processes. Addressing these requires close collaboration with metallurgists, quality assurance teams, and production staff to fine-tune process parameters and conduct thorough testing. Staying updated on industry advancements and utilizing simulation software can also help mitigate these challenges and ensure optimal casting outcomes.

What is the difference between Foundry Engineer vs Metallurgist?

AspectFoundry EngineerMetallurgist
CredentialsBachelor's in Mechanical, Materials, or Metallurgical EngineeringBachelor's or Master's in Metallurgy, Materials Science, or related fields
Work EnvironmentManufacturing plants, foundries, casting facilitiesResearch labs, metallurgical labs, industrial settings
Industry UsageDesigning and improving casting processes, overseeing productionAnalyzing metal properties, developing alloys, quality control

Foundry Engineers focus on designing, managing, and optimizing casting processes in manufacturing environments. Metallurgists analyze metal properties and develop new alloys. While both roles require knowledge of metals, Foundry Engineers are more involved in production processes, whereas Metallurgists focus on material analysis and research.

What Is a Foundry Engineer?

A foundry is a factory or other facility that creates metal castings of products. A foundry engineer designs or upgrades these facilities. They determine the size and strength of the building required based on the client’s needs, ensuring the facility can withstand the high levels of heat needed to make metal molds, utilizes top-of-the-line technologies, and that its construction provides maximum efficiency. Foundry engineers may also redesign or make improvements to older factories to make them more productive. To pursue a career in foundry engineering, you need at least a bachelor’s degree in engineering or a related field. Other qualifications may include experience with metalworks or in the construction industry.

More about Foundry Engineer jobs
What are the most commonly searched types of Foundry Engineer jobs in Tennessee? The most popular types of Foundry Engineer jobs in Tennessee are:
What are popular job titles related to Foundry Engineer jobs in Tennessee? For Foundry Engineer jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Foundry Engineer jobs in Tennessee look for? The top searched job categories for Foundry Engineer jobs in Tennessee are:
What are popular job titles related to Foundry Engineer jobs in TN? For Foundry Engineer jobs in TN, the most frequently searched job titles are:
Foundry Engineer jobs near you
Infographic showing various Foundry Engineer job openings in Tennessee as of July 2026, with employment types broken down into 92% Full Time, 5% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $72,987 per year, or $35.1 per hour.
Palantir Foundry Engineer

Palantir Foundry Engineer

IT America Inc

Nashville, TN • On-site

Contractor

Posted 18 days ago

Job description

Position: Palantir Foundry Engineer

Location: Nashville, TN

Duration: 6 Months

Role Summary:

Hands-on Foundry specialist who can design ontology-first data products, engineer high-reliability pipelines, and operationalize them into secure, observable, and reusable building blocks used by multiple applications (Workshop/Slate, AIP/Actions). You’ll own the full lifecycle: from raw sources to governed, versioned, materialized datasets wired into operational apps and AIP agents.

Core Responsibilities:

  • Ontology & Data Product Design: Model Object Types, relationships, and semantics; enforce schema evolution strategies; define authoritative datasets with lineage and provenance.
  • Pipelines & Materializations: Build Code Workbook transforms (SQL, PySpark/Scala), orchestrate multi-stage DAGs, tune cluster/runtime parameters, and implement incremental + snapshot patterns with backfills and recovery.
  • Operationalization: Configure schedules, SLAs/SLOs, alerts/health checks, and data quality tests (constraints, anomaly/volume checks); implement idempotency, checkpointing, and graceful retries.
  • Governance & Security: Apply RBAC, object-level permissions, policy tags/PII handling, and least-privilege patterns; integrate with enterprise identity; document data contracts.
  • Performance Engineering: Optimize joins/partitions, caching/materialization strategies, file layout (e.g., Parquet/Delta), and shuffle minimization; instrument with runtime metrics and cost controls.
  • Dev Productivity & SDLC: Use Git-backed code repos, branching/versioning, code reviews, unit/integration tests for transforms; templatize patterns for reuse across domains.
  • Applications & Interfaces: Expose ontology-backed data to Workshop/Slate apps wire Actions and AIP agents to governed datasets; publish clean APIs/feeds for downstream systems.
  • Reliability & Incident Response: Own on-call for data products, run RCAs, create runbooks, and drive preventive engineering.
  • Documentation & Enablement: Produce playbooks, data product specs, and runbooks; mentor engineers and analysts on Foundry best practices.

Required Qualifications:

  • 7+ years in data engineering/analytics engineering with 4+ years hands-on Palantir Foundry at scale.
  • Deep expertise in Foundry Ontology, Code Workbooks, Pipelines, Materializations, Lineage/Provenance, and object permissions.
  • Strong SQL and PySpark/Scala in Foundry; comfort with UDFs, window functions, and partitioning/bucketing strategies.
  • Proven operational excellence: SLAs/SLOs, alerting, data quality frameworks, backfills, rollbacks, blue/green or canary data releases.
  • Fluency with Git, CI/CD for Foundry code repos, test automation for transforms, and environment promotion.
  • Hands-on with cloud storage & compute (AWS/Azure/GCP), file formats (Parquet/Delta), and cost/perf tuning.
  • Strong grasp of data governance (PII, masking, policy tags) and security models within Foundry.

Nice to Have:

  • Building Workshop/Slate UX tied to ontology objects; authoring Actions and integrating AIP use cases.
  • Streaming/event ingestion patterns (e.g., Kafka/Kinesis) materialized into curated datasets.
  • Observability stacks (e.g., Datadog/CloudWatch/Prometheus) for pipeline telemetry; FinOps/cost governance.
  • Experience establishing platform standards: templates, code style, testing frameworks, domain data product catalogs.

Success Metrics (90–180 Days):

  • ≥99.5% pipeline success rate, with documented SLOs and active alerting.
  • <20% runtime/cost reduction via optimization and materialization strategy.
  • Zero P1 data incidents and ≤4h MTTR with playbooks and automated remediation.
  • 3+ reusable templates (ingestion, CDC, enrichment) adopted by partner teams.
  • Ontology coverage for priority domains with versioned contracts and lineage.

Example Work You’ll Own:

  • Stand up incremental CDC pipelines with watermarking & late-arrivals handling; backfill historical data safely.
  • Define business-ready ontology for a domain and wire it to Workshop apps and AIP agents that trigger Actions.
  • Implement DQ gates (null/dup checks, distribution drift) that fail fast and auto-open incidents with context.
  • Build promotion workflows (dev → staging → prod) with automated tests on transforms and compatibility checks for ontology changes.