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Data Modeler Contract Jobs in California (NOW HIRING)

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Collaborates with business teams to improve data models that feed business intelligence tools ...

Benchling

Marketing Data Analyst - Contractor

San Francisco, CA · On-site

$101K - $126K/yr

ROLE OVERVIEW This is a 6 month contract in-office role with a required hybrid schedule - a minimum ... The models, dashboards, and pipelines powering our funnel reporting, campaign attribution, and SDR ...

Lorven technologies

Business Data Analyst

San Diego, CA · On-site

$60 - $65/hr

Senior Contract: 12 Months About the Role: We are looking for a Business Data Analyst who combines ... Use Python (or similar scripting tools) for deeper analysis, automation, and model development.

Numeric

Data Engineer.

Sunnyvale, CA · On-site

$136K - $163K/yr

Duration: Long Term Contract. Direct Client: Req. Key Qualifications * 6+ years of hands-on data modeling and data engineering experience. * Strong expertise in dimensional modeling and data ...

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

W2 Contract Contract Length: 9 months with possible extension Experience Level: Senior/Lead Main ... Strong experience with data modeling, design patterns, and building scalable BI solutions

WinWire

AWS Data Architect

Alameda, CA · On-site

$72.25 - $93/hr

Alameda, CA 94502 Job Type : Full-Time / Contract We are seeking a highly skilled AWS Data ... Define and implement enterprise data models (conceptual, logical, physical), including dimensional ...

Releady

Data Engineer, Principal (Hybrid)

San Francisco, CA · Hybrid

$180K - $210K/yr

Contract-to-Hire (six-month contract term) Location: Hybrid -- 2x/week onsite; San Diego, Long ... Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented ...

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Data Modeler Contract information

What is a data modeler contract?

A Data Modeler Contract position involves working on a temporary or project-based basis to design, implement, and maintain data models that organize and structure data for efficient storage, retrieval, and analysis. Data modelers work closely with stakeholders to understand business requirements and translate them into logical and physical data models, often using tools like ERwin or IBM InfoSphere. As contractors, they may be hired for specific projects and are expected to deliver high-quality data modeling solutions within set timelines.

What are the key skills and qualifications needed to thrive as a data modeler contract?

To thrive as a Data Modeler on a contract basis, you need expertise in database design, data analysis, and data modeling concepts, often supported by a degree in computer science or a related field. Proficiency with tools such as ERwin, IBM InfoSphere Data Architect, or SQL-based systems, as well as familiarity with data warehousing and ETL processes, is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret business requirements and collaborate with stakeholders. These skills ensure the creation of robust, scalable data models that support organizational goals and efficient data management.

What are some typical challenges that contract data modelers might face when joining a new organization?

Contract Data Modelers often encounter the challenge of quickly understanding existing data architectures and business requirements within a limited timeframe. They must adapt to varying documentation standards, legacy systems, and sometimes incomplete data sources. Collaborating effectively with permanent team members such as database administrators, business analysts, and developers is crucial for aligning the data models with organizational goals. Strong communication and rapid learning skills can help overcome these hurdles and ensure successful project delivery.

What is the difference between Data Modeler Contract vs Data Analyst?

AspectData Modeler ContractData Analyst
Required CredentialsBachelor's in Computer Science, Data Management, or related field; certifications like CDMPBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Data Analyst
Work EnvironmentProject-based, contract roles in IT or data teamsOngoing, full-time roles in various industries
Employer & Industry UsageTech companies, consulting firms, finance, healthcareBusiness, marketing, finance, healthcare sectors

While both roles involve working with data, a Data Modeler Contract focuses on designing and creating data structures and models, often on a temporary basis. In contrast, a Data Analyst interprets data to provide insights and support decision-making in a more permanent role. Understanding these differences helps in choosing the right career path or job opportunity.

What are the most commonly searched types of Data Modeler jobs in California?

The most popular types of Data Modeler jobs in California are:

What are popular job titles related to Data Modeler Contract jobs in California?

For Data Modeler Contract jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Modeler Contract jobs in California look for?

The top searched job categories for Data Modeler Contract jobs in California are:

What cities in California are hiring for Data Modeler Contract jobs?

Cities in California with the most Data Modeler Contract job openings:

Data Modeler Contract jobs near you

Data Engineer

Lorven Technologies

Los Angeles, CA • On-site, Remote

$123K - $148K/yr

Contractor

Re-posted 12 days ago

Job description

Job Title: Data Engineer
Location: California - Remote
Duration: 6+ Months Contract
Job Description:
The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions.
Responsibilities:
  • Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features.
  • Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products.
  • Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity.
  • Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD).

Requirements:
  • Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required.
  • Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred.
  • Minimum of eight (8) years of experience as a data engineer with full-stack capabilities
  • Minimum of ten (10) years of Experience in programming
  • Minimum of five (5) years in Cloud technologies like Azure, Aws or Google.
  • Strong SQL Knowledge
  • Experience in ML and ML Pipeline a plus
  • Experience in real-time integration, developing intelligent apps and data products.
  • Proficiency in Python and experience with CI/CD practices
  • Strong background in IAAS platforms and infrastructure
  • Hands-on experience with Databricks, Spark, Fabric, or similar technologies
  • Experience in Agile methodologies
  • Hands-on experience in the design and development of data pipelines and data products
  • Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions.
  • Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
  • Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc.
  • Extensive experience in designing data applications in a cloud environment.
  • Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure.
  • Extensive experience in Data Architecture and data modeling
  • Expert in data analysis and data quality frameworks.
  • Knowledgeable with BI tools such as Power BI and Tableau.
  • May occasionally work evenings and/or weekends.
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About Lorven technologies

Sourced by ZipRecruiter

Lorven Technologies, headquartered in Plainsboro, New Jersey, United States, is a reputable company in the technology industry, specializing in providing effective IT solutions and consulting services. The company's official website, lorventech.com, offers comprehensive insights into its offerings which include but are not limited to software development, IT consulting, project management, and business analysis. Since its inception, Lorven Technologies has been committed to ensuring efficiency and reliability in delivering IT services to its global clientele, establishing itself as a trusted name in the industry.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

2001

Social media

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