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Weekend Amazon Data Engineer Jobs in Iowa (NOW HIRING)

Neshent Technologies

Data Modeler

Norwalk, IA

$51.25 - $66.50/hr

Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune. * Experience ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Neshent Technologies

Data Modeler

Des Moines, IA

$53.50 - $69.25/hr

Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune. * Experience ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Neshent Technologies

Data Modeler

Polk City, IA

$50.25 - $65.25/hr

Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune. * Experience ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Neshent Technologies

Data Modeler

Clive, IA · On-site

$53.75 - $69.50/hr

Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune. * Experience ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

Neshent Technologies

Data Modeler

Grimes, IA · On-site

$54 - $70/hr

Hands-on experience with graph databases including Neo4j, Stardog, or Amazon Neptune. * Experience ... Collaborate with business stakeholders, data architects, and engineering teams to translate ...

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All JobsAmazon Data Engineer JobsWeekend Amazon Data Engineer JobsWeekend Amazon Data Engineer Jobs in Iowa

Weekend Amazon Data Engineer information

What is a Weekend Amazon Data Engineer?

Weekend Amazon Data Engineers are professionals who work with Amazon's data infrastructure, usually on a part-time or flexible basis during weekends. They are responsible for building, maintaining, and optimizing data pipelines and systems that support data analysis and business decision-making. Their work often involves using Amazon Web Services (AWS) tools, programming languages such as Python or SQL, and collaborating with data scientists or analysts. Weekend roles are ideal for those seeking supplementary income, work-life balance, or an opportunity to gain experience in cloud-based data engineering.

What does a typical weekend look like for a Weekend Amazon Data Engineer, and how does the work schedule differ from weekday roles?

As a Weekend Amazon Data Engineer, you can expect to focus on monitoring data pipelines, addressing urgent data-related issues, and supporting critical deployments that often occur during lower-traffic periods on weekends. This role may involve collaborating with on-call engineers, data analysts, and product teams to ensure data infrastructure stability and resolve incidents quickly. The weekend schedule typically allows for more independent work, but you will still participate in virtual stand-ups or handoff meetings with weekday teams to maintain continuity. Flexibility and strong communication are important, as you'll often be the primary point of contact for data engineering concerns during your shift.

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

To thrive as a Weekend Amazon Data Engineer, you need strong proficiency in data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with AWS services (like Redshift, S3, and Glue), ETL tools, and data warehousing certifications is highly valuable. Excellent problem-solving skills, attention to detail, and effective collaboration are standout soft skills for this role. These competencies ensure the reliable and efficient processing of large datasets, supporting business needs even during off-peak times.

What is the difference between Weekend Amazon Data Engineer vs Weekend Amazon Data Analyst?

AspectWeekend Amazon Data EngineerWeekend Amazon Data Analyst
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentData pipelines, cloud platforms, ETL processesData interpretation, reporting, visualization tools
Employer & Industry UsageAmazon, e-commerce, cloud servicesAmazon, retail, marketing teams

Weekend Amazon Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data and generate reports. Both roles often work in the same environment but serve different functions within Amazon's data ecosystem.

What are the most commonly searched types of Amazon Data Engineer jobs in Iowa?

The most popular types of Amazon Data Engineer jobs in Iowa are:

What cities in Iowa are hiring for Weekend Amazon Data Engineer jobs?

Cities in Iowa with the most Weekend Amazon Data Engineer job openings:

Weekend Amazon Data Engineer jobs near you

Data Modeler

Norwalk, IA

Neshent Technologies
See more jobs at Neshent Technologiesexternal

$51.25 - $66.50/hr

Full-time

Posted 11 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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