Capital Technology Alliance

Data Modeler

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with a contract length of "unknown" and a pay rate of "unknown." It requires 3–10 years of experience in data engineering, proficiency in Python and SQL, and familiarity with Alteryx Designer and environmental science.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 31, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Tallahassee, FL
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🧠 - Skills detailed
#Datasets #Storage #Logical Data Model #Data Lakehouse #Data Quality #BI (Business Intelligence) #Data Engineering #Scala #Alteryx #Python #Data Modeling #Security #Data Lake #Alteryx Designer #Programming #Data Pipeline #Leadership #Data Cleansing #Database Design #Data Processing #Qlik #Data Science #Compliance #Data Privacy #Data Warehouse #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Oracle #Indexing
Role description
This is a remote position; however, local candidates are strongly preferred. The selected candidate must be available to attend in-person meetings and workshops as required. Travel expenses will not be reimbursed; the candidate must cover them. Primary Responsibilities: • Design, implement, and maintain robust data pipelines and architectures in Alteryx Designer. • Create and maintain logical data models in Oracle SQL Developer Data Modeler. • Read, write, and update data. • Create and maintain ETL code repository. • Perform ad hoc data cleansing of data sets as needed. • Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of environmental data. • Define data quality standards and metrics. • Execute procedures to monitor data quality. • Identify data issues and propose remediation plans. • Optimize data processing workflows and algorithms for efficiency, scalability, and reliability. • Ensure compliance with data privacy regulations and security best practices in data handling, storage, and transmission. • Stay current with emerging technologies, tools, and methodologies in data engineering and environmental science. • Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance. • Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance. • Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques. • Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making. • Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices. Minimum Qualifications: • 3–5 years’ experience in data engineering, including designing and implementing data pipelines and ETL processes • Proficiency in programming languages such as Python and SQL • Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights • Knowledge of relational database design and data modeling • Experience with implementing data warehouses, data lakes, or data lakehouses. • Ability to establish and maintain effective working relationships with others. • Ability to work independently. • Ability to determine work priorities and ensure proper completion of work assignments. • Ability to communicate effectively, both verbally and in writing. Preferred Qualifications: • 5–10 years’ experience with Alteryx Designer • Familiarity with environmental science, water quality, or related fields • Experience with business intelligence tools such as Qlik Sense Educational Requirements: • Bachelor’s degree in Data Science, Information Systems, Business Administration, or related studies, or equivalent work experience.