Senior Data Engineer

Trumid

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Trumid is a dynamic fintech revolutionizing the landscape of fixed income trading. With intelligent, easy-to-use, electronic solutions, we are rapidly growing and seeking exceptional talent to help redefine the boundaries of technology and finance.

Responsibilities

  • Design and implement scalable data models in BigQuery using dbt that power analytics, reporting, and operational insights
  • Develop systems for delivering data to internal stakeholders and external clients
  • Maintain data governance practices including documentation, lineage, testing, and data quality standards
  • Optimize query performance and cost efficiency for analytics workloads in BigQuery
  • Partner closely with product, sales, analytics, and executive stakeholders to translate business requirements into reliable data models
  • Mentor engineers and analysts on analytics engineering and data modeling best practices
  • Contribute to the broader data platform, collaborating with engineers building real-time data systems and infrastructure

Requirements

  • 5+ years of experience building analytics or data platform infrastructure
  • Strong expertise in SQL and dbt
  • Experience designing data warehouse models in BigQuery or similar cloud data warehouses
  • Strong understanding of data modeling patterns in columnar databases
  • Experience building curated datasets used by analysts and business stakeholders
  • Experience working with modern data stack tools such as Fivetran
  • Strong communication skills and ability to collaborate with non-technical stakeholders

Benefits

  • Highly competitive compensation
  • Fully paid medical, dental and vision coverage
  • Remote work
  • Team-oriented and collaborative company culture

Skills & tools

BigQueryDBTSQLFivetran

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 015+ years experience in analytics or data platform infrastructure
  2. 02Expertise in SQL and dbt
  3. 03Experience with BigQuery or cloud data warehouses
  4. 04Knowledge of columnar database modeling patterns
  5. 05Experience with Fivetran or similar ingestion frameworks
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