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Data Loading Specialist

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: Cogwheel Analytics LLC
Full Time position
Listed on 2026-10-02
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 55000 - 85000 USD Yearly USD 55000.00 85000.00 YEAR
Job Description & How to Apply Below

Key Responsibilities

  • Log into client portals and export required data files or reports each month.
  • Clean and standardize data using established processes to ensure consistency and readiness for ingestion.
  • Prepare and upload data to the Cogwheel Analytics platform for processing.
  • Perform data quality checks to validate successful loading and identify any discrepancies or missing information.
  • Communicate with internal teams to resolve data issues, clarify requirements, and report on data loading status.
  • Maintain clear documentation of data loading procedures, issues encountered, and resolutions.
  • Support the improvement and automation of data loading and QA processes.
  • Collaborate with the backend and analytics teams to ensure seamless data flow from source to dashboard.
Required Skills & Experience
  • 1–3 years of experience in data loading, ETL, or data operations roles.
  • Experience working with spreadsheets (Excel, Google Sheets) and CSV data formats.
  • Strong attention to detail and a methodical approach to data cleaning and QA.
  • Ability to follow and document processes precisely.
  • Good problem-solving skills and the ability to troubleshoot data issues independently.
  • Willingness to learn and grow technical skills in backend development and data science.
  • Basic familiarity with databases (PostgreSQL or similar) and Git version control is a plus.
Bonus / Nice-to-Have
  • Experience with data loading automation, scripting (Python), or ETL tools.
  • Experience working in the hospitality, travel, or analytics sectors.
  • Familiarity with Docker or containerized workflows.
  • Exposure to FastAPI or other modern backend frameworks.
Our Stack
  • Data Handling: Excel, Google Sheets, CSV
  • Backend/Processing: FastAPI (Python), PostgreSQL
  • Workflow & Version Control: Docker, Git, Git Hub Actions
  • QA & Documentation: Internal documentation tools, Markdown, code comments
  • Growth Areas: Python scripting, machine learning libraries, data science tools
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