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Engineering Support Analyst

RedSail Technologies

RedSail Technologies

IT, Customer Service
United States · South Carolina, USA · Spartanburg, SC, USA
Posted on Oct 31, 2025

Engineering Support Analyst

Job Summary

The Engineering Support Analyst will serve as a technical support and operations specialist assisting RedSail Technologies’ data engineering initiatives. This role provides critical support in managing data workflows, integrating third-party tools such as Datavant for data tokenization, and executing workflows within AWS and Apache Airflow under the direction of senior Data Engineers. The Analyst will help ensure smooth daily operations of data programs, maintain accurate documentation, and contribute to the technical success of ongoing data infrastructure and engineering support initiatives.

Key Duties

  • Supports the engineering team in executing and monitoring data workflows using Apache Airflow.
  • Performs directed tasks in AWS, such as managing S3 buckets, interacting with Lambda functions, and basic IAM configuration under guidance.
  • Daily Operational Oversight
    Monitor Airflow DAG runs for all tokenization and monetization pipelines.
    • Verify every Snowflake job completes successfully (especially claim‑token transformations and data exports).
    • Check Airflow logs for any issues and resolve or re‑run failed pipelines.
    • Notify partners or internal teams when something impacts delivery timing.
    Data Delivery Management
    • Manage scheduled deliveries for all monetization partners.
    • Confirm completed runs and validate delivery record counts.
    • Re‑run deliveries when schema updates, token refreshes, or client corrections are needed.
    • Maintain a lightweight delivery tracker (date, partner, success/failure notes).
    Datavant Portal Management
    • Oversee all daily uploads and validations in the Datavant portal.
    • Troubleshoot any file, schema, or portal issues that come up.
    • Keep internal documentation current and reach out to Datavant support when needed.
  • Assists in the integration and operation of third-party tools like Datavant to support secure data tokenization processes.
  • Maintains accurate documentation of data pipelines, configurations, and operational procedures.
  • Serves as a liaison between engineering, operations, and product teams to ensure smooth data operations.
  • Ensures high quality by following engineering best practices and conducting routine QA checks.
  • Recommends and facilitates improvements to data workflow processes based on observed performance issues or user feedback.
  • Runs scheduled reports and health checks of data workflows.
  • Develops lightweight scripts or SQL queries as directed to support data extraction or troubleshooting.
  • Participates in project planning meetings and team stand-ups to report on support tasks and findings.
  • Performs other duties as assigned by RedSail Technologies’ engineering or data leadership.

Education/Training

  • Associate’s or Bachelor's degree in Computer Science, Information Systems, or a related field OR the equivalent of 2+ years of technical work experience in a data, engineering, or IT support role.

Required Work Experience/Skills

  • 1–2 years of experience supporting data or engineering teams in a technical or operational capacity.
  • Hands-on experience working with AWS (especially S3, Lambda, and IAM).
  • Familiarity with Apache Airflow for workflow monitoring or execution.
  • Working knowledge of data privacy or tokenization tools, preferably Datavant.
  • Proficiency with data handling tools such as Excel, SQL, or scripting languages like Python or Bash.
  • Experience writing or maintaining technical documentation

Preferred Work Experience/Skills

  • Understanding of data governance and HIPAA-compliant data handling practices.
  • Experience working with ETL pipelines or supporting data ingestion workflows.
  • Familiarity with VersionOn or similar ticketing/project management systems.
  • Advanced understanding of cloud-based data ecosystems (AWS, GCP, or Azure).

Discretionary Judgment

  • Uses independent judgment and discretion within the bounds of training and assigned tasks.
  • Exercises strong judgment in escalating issues to senior engineers or team leads when needed.
  • Demonstrates ethical work values and adherence to data privacy standards

Physical Demands, Working Conditions, and General Employment Guidelines

  • Moderate levels of stress may be experienced in meeting project deadlines or resolving technical issues.
  • Position is performed in a general office, home office, or approved remote workspace with physical activity including sitting, standing, typing, and occasional lifting of up to 25 lbs.

Equipment

  • Daily use of Microsoft Teams (voice/video), computer, printer, and other standard office tools.
  • Must have consistent internet access for remote or hybrid work environments.

Safety to Self and Others

  • Minimal safety risks; standard office setting. No exposure to hazardous materials.

Working Conditions/Hazards

  • Work is primarily remote or in an open-minded office setting, with flexible conditions based on business needs.

Work Location

  • Remote or at a designated RedSail Technologies Office, based on hiring and team structure