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Data Modeler Contract Jobs in Colorado (NOW HIRING)

Contract Length: 9 months Our client in the Centennial, Colorado area is looking for 2 Data ... Required Skills: 1) Data Analysis / Modeling. 2) Data mining. 3) Segmentation techniques ...

Our business model combines consulting, technology integration, and access to the best data on the market. As a Contract Administrator, you will be at the heart of contract management that supports ...

This contract position is embedded within operations and focuses on transforming complex data into ... Strong understanding of relational databases and data modeling concepts. * Advanced Excel skills ...

Tired of promised adventures during the hiring phase, then dropped off on a remote contract and ... data modeling, etc. * Need someone who understands very large networks, telcos, and can use DS ...

Data Scientist

Aurora, CO ยท On-site

$50K - $120K/yr

Tired of promised adventures during the hiring phase, then dropped off on a remote contract and ... data modeling, etc. * Need someone who understands very large networks, telcos, and can use DS ...

GCP Data Engineer

Lone Tree, CO ยท On-site

$60/hr

Lone Tree, Co (remote until Covid is resolved) Duration : 12 Months Contract Max Rate $60 on C2C ... Build compatible target data state to include compatible schema design, catalog, data modeling ...

... contracts give 2 years experience credit for a Master's Degree. We will work with you to find the right fit. POSITION RESPONSIBILITIES * Analyze and interpret complex data * Develop predictive models

Head of Data Platform

Englewood, CO ยท On-site +1

$63 - $81/hr

Per-dealer + global model training pipelines running. Lead Routing data contracts defined and in shadow mode. * Months 10-12: Second optimization function (Lead Routing or Inventory Mix) in ...

In this role, you will use advanced analytics, machine learning models, and statistical methods to ... Most contracts allow additional experience (4-5 years) in lieu of a Bachelor's Degree. Some ...

Job#: 3040621 We are seeking a Senior Data Analyst to join our Rockies region team on a contract ... Strong understanding of relational database concepts and data modeling. Proficiency in Excel for ...

W2 Contract (C2C is not available) Duration: 6 months, potential extension Benefits: Dental, Health ... Strong understanding of relational databases and data modeling concepts. * Advanced Microsoft Excel ...

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Data Modeler Contract information

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 a Data Modeler Contract position?

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 on a contract basis, and why are they important?

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 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 Colorado? The most popular types of Data Modeler jobs in Colorado are:
What are popular job titles related to Data Modeler Contract jobs in Colorado? For Data Modeler Contract jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Modeler Contract jobs in Colorado look for? The top searched job categories for Data Modeler Contract jobs in Colorado are:
What cities in Colorado are hiring for Data Modeler Contract jobs? Cities in Colorado with the most Data Modeler Contract job openings:
Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Data Scientist - multiple levels - CLEARANCE and POLYGRAPH REQUIRED

Constellation Technologies, Inc

Aurora, CO โ€ข On-site

$120K - $220K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

Big Data, dataflows, Artificial Intelligence / Machine Learning (AI/ML) familiarity, Analytics in GME, Jupyter notebooks, and Spark.
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Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for the position.
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Required:
  • Must be a US Citizen
  • Must have TS/SCI clearance w/ active polygraph
  • This position is open to multiple levels of years of experience; two (02) years within the last five (05) years must be directly related to the job you are applying for:
  • Level 04 requires a minimum seventeen (17) years of experience w/ Degree
  • Level 03 requires a minimum twelve (12) years of experience w/ Degree
  • Level 02 requires a minimum five (05) years of experience w/ Degree
  • Degree in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g., physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e., behavioral, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses intended to meet a basic college level requirement, or upper-level math courses designated as elementary or basic do not count.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g., Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity.
  • Employ some combination (2 or more) of the following areas: Foundations (Mathematical, Computational, Statistical); Data Processing (Data management and curation, data description and visualization, workflow, and reproducibility); Modeling, Inference, and Prediction (Data modeling and assessment, domain-specific considerations).
  • Devise strategies for extracting meaning and value from large datasets.
  • Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge.
  • Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent to Agency data holdings.
  • Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data.
  • Effectively communicate complex technical information to non-technical audiences.
  • Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly shifting Agency collection, processing, storage and analytic capabilities and limitations.
These Qualifications Would be Nice to Have:
  • Fully Cleared polygraph is preferred
  • Knowledge of working with Big Data, dataflows, Machine Learning/Artificial Intelligence familiarity.
  • Analytics in GME, Jupyter notebooks, and Spark.
$120,000 - $220,000 a year
The pay range for this job, with multi-levels, is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
The benefits package:
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Affordable healthcare options with 80% employer paid premium PLUS a company-funded HSA
Dental insurance with 100% employer paid premium
Vision with 80% employer paid premium
Employer paid Life insurance 100%
Employer paid Short-term and Long-term disability 100%
Annual training, continued education, and professional memberships reimbursement
Unlimited access to Red Hat Enterprise Linux, AWS, and NetApp training and accreditation
Annual reimbursement for technology i.e. phones, computers, printers, etc...
401(k) with company match up to 5% with 100% immediate vesting (after 90 days of employment)
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The environment and perks:
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Professional development investment and paid time off for training
Contract and work locations in Maryland, Virginia, Colorado, Texas, Utah, California, Florida and Hawaii.
Team building events throughout the year such as Destination Family Events, Holiday Party, Monthly Get-Togethers
Leadership Team engagement and mentorship
Performance Recognition Program
Complimentary branded apparel
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Don't see a job opening that's the perfect fit?ย Apply to our General Positionย to join our talent pool for consideration for future opportunities.
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Know someone else who may be a good fit? Refer them through the CTI External Referral Program and you could receive a one-time referral bonus ofย up to $10,000! Emailย [emailย protected]ย for more information.
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Constellation Technologies is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, or medical conditions related to pregnancy, childbirth, or breastfeeding), age, medical condition, marital or domestic partner status, sexual orientation, gender, gender identity, gender expression and transgender status, mental disability or physical disability, genetic information, military or veteran status, citizenship, low-income status or any other status or characteristic protected by applicable law. Job applicants can submit questions about CTI's equal employment opportunity policy to [emailย protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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