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Manager Data Analytics Engineer Jobs in Ames, IA

Neshent Technologies

Data Modeler

Polk City, IA

$50.25 - $65.25/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Neshent Technologies

Data Modeler

Granger, IA

$52 - $67.50/hr

Familiarity with data governance and metadata management platforms such as Collibra, Alation, or ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

SSR Mining Inc.

Reliability Engineer

Nevada, IA · On-site

$80 - $100/hr

Undertake analysis of machine performance data including MTTFFAPW (Mean Time To First Failure After ... Maintain accurate data management and record keeping of maintenance history* Support and grow a ...

Vermeer

Data Scientist - R&D (AI/ML)

Ames, IA · On-site

$90 - $120/hr

The equipment we make manages natural resources, connects people and feeds and fuels communities ... Develop and combine data models and apply machine learning algorithms to analyze large data sets to ...

Varsity Tutors

Data Science Tutor

Ames, IA · Remote

$18 - $40/hr

... data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

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All JobsData Analytics Engineer JobsManager Data Analytics Engineer JobsManager Data Analytics Engineer Jobs in Ames, IA

Manager Data Analytics Engineer information

See Ames, IA salary details

$43.5K

$126.9K

$173.6K

How much do manager data analytics engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for manager data analytics engineer in Ames, IA is $126,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,000.00 and $134,500.00 per year, depending on experience, location, and employer.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

What are popular job titles related to Manager Data Analytics Engineer jobs in Ames, IA?

For Manager Data Analytics Engineer jobs in Ames, IA, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Ames, IA look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Ames, IA are:

What cities near Ames, IA are hiring for Manager Data Analytics Engineer jobs?

Cities near Ames, IA with the most Manager Data Analytics Engineer job openings:

Manager Data Analytics Engineer jobs near you

Data Modeler

Neshent Technologies

Polk City, IA

$50.25 - $65.25/hr

Full-time

Posted 7 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)

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