Lead Data Engineer - remote

Jobgether · Florida

Company

Jobgether

Location

Florida

Type

Full Time

Job Description

Team: General

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer - REMOTE. In this role, you will be instrumental in developing and enhancing data engineering capabilities that drive strategic product development. Your expertise will facilitate real-time decision-making and analytics through curated datasets, unlocking potential growth opportunities. You'll collaborate with subject matter experts to resolve business challenges through effective data solutions, whilst mentoring junior engineers to foster their professional development within the team. This opportunity will have a significant impact on our partner's data-driven initiatives and overall success.

Accountabilities

  • Build high-performing cloud data solutions for analytical and BI reporting needs.
  • Design and operate secure, scalable cloud data pipelines.
  • Integrate new data sources into a central data warehouse.
  • Identify and implement internal process improvements for efficiency.
  • Manage and enhance a shared data lake for decision-making support.
  • Implement data governance best practices across pipelines.
  • Partner with teams to understand needs and develop solutions.
  • Coach and mentor junior data engineers.
  • Manage and visualize data for collaborative analytics.
  • Participate in support roles during business hours.
  • Requirements

  • 5+ years of experience in Python and SQL, cloud experience preferred (Azure or AWS).
  • Hands-on knowledge of data security and compliance methodologies.
  • Experience in creating data-intensive distributed solutions.
  • Familiarity with relational and non-relational databases.
  • Experience in data analytics architectures in cloud environments.
  • Knowledge of data governance best practices.
  • Hands-on experience with LLMs and generative AI workflows.
  • Experience in Event Streaming Platforms and data pipeline orchestration tools.
  • Familiarity with tools like Databricks, Snowflake, BigQuery, and Spark.
  • Experience in containerized environments like Docker or Kubernetes.
  • Benefits

  • Comprehensive benefits package including medical, dental, and vision.
  • 401(k) plan with employer match.
  • Paid time off and sick leave policies.
  • Employee stock purchase plan.
  • Opportunities for professional development and training.
  • Inclusive workplace culture celebrating diversity and individuality.
  • Flexible work environment promoting work-life balance.
  • Apply Now

    Date Posted

    04/20/2026

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