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Director Databricks Data Engineer Jobs in Pella, IA

Data Modeler

Pleasant Hill, IA · On-site

$52.75 - $68.50/hr

Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure. Roles and ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Sr. EHS Engineer

Knoxville, IA · On-site

$64K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Completing internal and external EHS compliance reports and analyze EHS data and report trends and ... Self-directed, detail oriented, good interpersonal, communication, prioritization, and ...

Sr. EHS Engineer

Knoxville, IA · On-site

$64K - $85K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Completing internal and external EHS compliance reports and analyze EHS data and report trends and ... Self-directed, detail oriented, good interpersonal, communication, prioritization, and ...

Senior Finance AI & Automation Developer

Ackworth, IA · On-site +1

$95K - $142K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

No direct reports but will lead projects Qualifications To perform this job successfully, an ... Strong understanding of data structure and APIs required * Experience with Python and/or other code ...

This position will work closely within the Design, Engineering, & Construction (DEC) Business ... Direct communication with Area Cost Lead to ensure collaboration and alignment of project health ...

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Director Databricks Data Engineer information

See Pella, IA salary details

$74.1K

$197.7K

$257.9K

How much do director databricks data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for director databricks data engineer in Pella, IA is $197,711.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,700.00 and $256,900.00 per year, depending on experience, location, and employer.

Data Modeler

Neshent Technologies

Pleasant Hill, IA • On-site

$52.75 - $68.50/hr

Full-time

Posted 6 days ago


Job description

We are seeking an experienced Data Modeler with strong expertise in ontology modeling, semantic data modeling, enterprise knowledge graphs, and insurance data domains. The ideal candidate will have experience designing conceptual, logical, and physical data models, developing enterprise ontologies, and implementing semantic solutions using modern graph database and metadata management platforms.

Required Technical Skills
  • Strong knowledge of ACORD insurance data standards.
  • Experience with ontology and semantic modeling platforms such as Timbr, TopBraid, PoolParty, or Stardog.
  • Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune.
  • Experience with RDF, OWL, SPARQL, and enterprise knowledge graph concepts.
  • Familiarity with data governance and metadata management platforms such as Collibra, Alation, or Microsoft Purview.
  • Experience with AI/GenAI, semantic search, and enterprise knowledge graph initiatives.
  • Knowledge of modern data platforms such as Snowflake, Databricks, AWS, or Azure.
Roles and Responsibilities
  • Develop conceptual, logical, and physical data models for enterprise data platforms.
  • Design and maintain enterprise ontologies, semantic data models, knowledge graphs, taxonomies, and business vocabularies.
  • Define business entities, relationships, hierarchies, and semantic rules across enterprise data domains.
  • Collaborate with business stakeholders, data architects, and engineering teams to translate requirements into scalable semantic and data solutions.
  • Develop data models for insurance domains including Policy, Claims, Underwriting, Customer, Product, Billing, and Producer/Agency.
  • Support data governance, metadata management, data lineage, and data quality initiatives.
  • Ensure data models align with enterprise architecture standards, industry best practices, and governance frameworks.
  • Contribute to AI-driven data initiatives, including semantic search and knowledge graph implementations.
Preferred Skills
  • Enterprise Ontology Design
  • Semantic Data Modeling
  • Knowledge Graph Architecture
  • Insurance Data Architecture
  • ACORD Standards
  • RDF / OWL / SPARQL
  • Graph Databases (Neo4j, Stardog, Amazon Neptune)
  • Data Governance & Metadata Management
  • Snowflake / Databricks
  • Cloud Platforms (AWS / Azure)