Data Engineering Analyst - Denver, United States - CRG

    CRG
    CRG Denver, United States

    3 weeks ago

    Default job background
    Description

    Data Engineering Analyst

    Location: Denver, CO (hybrid)

    Pay: $35.00+/Hour

    Duration: 3+ month contract

    CRG is seeking a highly skilled and motivated Data Engineering Analyst to join this dynamic team. As a Data Engineering Analyst, you will play a critical role in managing and analyzing the organization's data infrastructure. You will collaborate with cross-functional teams to design, implement, and optimize data pipelines, ensuring the availability, reliability, and efficiency of data systems and deliver a dashboard capturing KPI's for stakeholders. The ideal candidate will possess a strong background in data engineering, analytics, and programming, along with excellent problem-solving abilities and a passion for leveraging data to drive business insights.

    Responsibilities:

    • Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field.
    • Proven experience in data engineering, data analysis, or a related role, preferably in a fast-paced, technology driven environment.
    • Proficiency in programming languages such as Python, SQL, or Java, and experience with data manipulation and transformation frameworks (e.g., Pandas, Spark).
    • Strong understanding of database technologies (e.g., SQL, NoSQL, BigQuery), data warehousing concepts, and cloud platforms (e.g., AWS, Azure, GCP).
    • Experience with data integration tools (e.g., Apache NiFi, Talend, Informatica) and workflow management systems (e.g., Apache Airflow, Luigi).
    • Familiarity with data visualization and BI tools (e.g., Tableau, Power BI) is a plus.
    • Prior experience with Smartsheet, Air Table, Power Query, and Sharepoint for data organization, tracking, and collaboration is highly desirable.
    • Collaborate and communicate with data and scorecard stakeholders and other non-technical teammates to work through technical requirements.
    • Detail-oriented mindset with a focus on data quality, accuracy, and consistency.
    • Manage competing priorities aligned to desired outcomes in a dynamic environment.
    • Respond to ad hoc requests.

    Category Code: JN008