Data Engineer (Python / Power BI / Cloud)

T

TSG Risk Management

Data Engineer (Python / Power BI / Cloud)

Remote,
Full Time
Paid
  • Responsibilities

    Location Requirement

    This is a hybrid position based in New York City, with an expectation of 4 days per week in the office 1 day remote. Candidates must be local to the NYC area or open to relocation.

    Position Overview

    We are seeking a well-rounded Data Engineer to design, build, and support scalable data pipelines, analytics solutions, and reporting tools. This role sits at the intersection of data engineering, analytics, and stakeholder collaboration , and will play a key role in delivering high-quality, data-driven insights across the organization.

    The ideal candidate is hands-on with Python, SQL, and ETL development , while also being comfortable building Power BI dashboards and partnering with cross-functional teams in an Agile environment.

    Key Responsibilities

    • Design, develop, and maintain secure and scalable data pipelines and ETL processes
    • Build and optimize data models to support analytics and reporting use cases
    • Develop Power BI dashboards and reports to deliver actionable insights
    • Collaborate with cross-functional stakeholders to gather requirements and translate them into technical solutions
    • Participate in Agile ceremonies and project meetings , ensuring alignment on deliverables, timelines, and quality standards
    • Implement data quality controls and ensure accuracy, consistency, and reliability of data outputs
    • Develop and maintain Python scripts for data extraction, transformation, and automation
    • Support metric development and reporting automation initiatives
    • Contribute to infrastructure-related activities , including deployments and environment support
    • Create and maintain technical documentation (e.g., Confluence)
    • Provide regular updates on progress, risks, and dependencies to stakeholders

    Required Qualifications

    • 4–6+ years of experience in data engineering or related field
    • Strong experience with Python and SQL
    • Hands-on experience building and maintaining ETL/data pipelines
    • Experience with data modeling and working with structured datasets
    • Experience with Power BI (dashboard development and reporting)
    • Familiarity with cloud platforms (AWS, Azure, or GCP)
    • Experience working in Agile environments with cross-functional teams
    • Strong problem-solving skills and attention to detail
    • Excellent communication skills with the ability to work with both technical and non-technical stakeholders

    Preferred Qualifications

    • Experience with data automation and metric standardization
    • Exposure to infrastructure deployments or DevOps practices
    • Experience with Confluence or similar documentation tools
    • Prior experience supporting enterprise reporting or analytics initiatives