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    Data Engineer - Alexandria, United States - LightFeather

    LightFeather
    LightFeather Alexandria, United States

    2 weeks ago

    Default job background
    Description


    LightFeather is currently seeking a seasoned Data Engineer to lead our efforts in data modeling, analytics, and AI development, supporting key initiatives.

    The successful candidate will join our forward-thinking team of data science professionals dedicated to leveraging data for actionable insights and strategic decision-making.

    In this role, you will be involved in designing, building, and managing the architecture of complex data systems.

    This Position is Full Time, Remote.


    Responsibilities:


    Develop and refine conceptual, logical, and physical data models to empower data analysis and reporting, ensuring models are performance-optimized and scalable.

    Champion and implement data modeling standards, methodologies, and best practices, ensuring consistent quality and efficiency.

    Advise on the identification and implementation of analytical models and data architectures for user profiling, content personalization, and campaign orchestration across various digital platforms.

    Deliver architectural solutions for analytics data, predictive models, and integrations.

    Establish processes and a repository plan for analytics model development using the provided GitLab environment, focusing on Python or similar technologies.

    Develop a GitHub branching strategy tailored to the organization's product and service structure, facilitating efficient development and release processes.
    Oversee the end-to-end lifecycle of data models, including their maintenance, updates, and thorough documentation.
    Play a pivotal role in data integration, quality, and governance initiatives, ensuring data integrity and accessibility.
    Provide expert guidance and mentorship to junior data modeling staff, nurturing a learning and growth environment.
    Craft and maintain PowerBI dashboards to monitor model performance, supporting strategic decision-making with actionable insights.
    Utilize Airflow for efficient model orchestration, maintaining seamless and robust data workflows.
    Lead the development of a comprehensive GitHub branching strategy, enhancing team collaboration and workflow efficiency.
    Employ Python and similar programming languages to create cutting-edge AI and machine learning models, driving analytics advancement.
    Foster an agile work culture, emphasizing rapid iteration, cross-team collaboration, and continuous improvement in all data science endeavors.
    Spearhead exploratory data analysis projects to identify new insights and opportunities, enhancing data-driven decision-making processes.


    Minimum Requirements:
    US Citizenship.
    Active IRS clearance - Public Trust or higher.
    Bachelor's degree preferred or equivalent experience.
    5+ years of hands-on experience in data modeling, analytics solution delivery, and dashboard development.
    Demonstrated proficiency in PowerBI, Airflow, GitLab, and Python.
    Expertise in data modeling tools like Erwin, and in-depth knowledge of GitHub branching strategies and version control.
    Solid experience in Agile methodologies and fostering an agile data science environment.
    Proven ability in analytics, exploratory data analysis, and delivering scalable data pipelines.
    Exceptional communication, leadership, and team collaboration skills.

    Why Join LightFeather?

    You'll be part of a team dedicated to meaningful impact, working on solutions that address mission-critical needs. Experience variety, fulfillment, and the opportunity to work with some of the best in the industry. We are committed to fostering a diverse and inclusive environment where everyone is valued and respected.

    Commitment to Diversity

    LightFeather is an equal opportunity employer.

    We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status.

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