Data Engineer

Posted 13hrs ago

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Job Description

Data Engineer building scalable pipelines and analytics warehouses for Troveo’s licensed AI training data platform. Supporting data modeling, quality, reporting, and reliable delivery to AI teams.

Responsibilities:

  • Design, build, and maintain batch and streaming ELT/ETL data pipelines
  • Optimize pipelines for performance, reliability, scalability, and cost
  • Design and implement conceptual, logical, and physical data models, including dimensional, star, and snowflake schemas
  • Build and maintain transformation layers using modern tools such as dbt
  • Apply data modeling best practices, versioning, testing, and documentation
  • Write SQL queries for data exploration, ad-hoc analysis, and troubleshooting
  • Support reports, dashboards, and self-service analytics assets
  • Translate business questions into data requirements and deliver actionable insights or datasets
  • Monitor data pipelines and delivery processes to meet timeliness, freshness, and accuracy SLAs
  • Identify, troubleshoot, and resolve data issues affecting downstream consumers and business operations
  • Manage data availability and quality incidents and participate in on-call rotations as needed
  • Implement data quality checks, observability, and alerting
  • Automate operational tasks and improve data delivery processes
  • Collaborate with analysts, data scientists, engineers, and business stakeholders
  • Document data pipelines, models, lineage, and processes
  • Contribute to data governance, security, and data platform best practices

Requirements:

  • 5+ years of professional experience in data engineering or a closely related role
  • Strong proficiency in SQL and Python
  • Hands-on experience building and maintaining data pipelines
  • Experience with cloud data platforms/warehouses such as Snowflake, BigQuery, Redshift, or Databricks
  • Experience with data orchestration tools such as Apache Airflow, Dagster, Prefect, or similar
  • Solid understanding of data modeling techniques and dimensional modeling
  • Experience performing data analysis and working with BI/visualization tools such as Looker, Tableau, or Power BI
  • Proven ability to troubleshoot data issues and support operational reliability/SLAs
  • Strong communication skills and ability to collaborate with technical and non-technical stakeholders
  • Experience with dbt for data transformation and modeling
  • Knowledge of data observability/monitoring tools
  • Experience with real-time/streaming data technologies such as Kafka or Flink
  • Familiarity with CI/CD practices for data pipelines
  • Experience in data quality frameworks and governance
  • Bachelor’s degree in Computer Science, Engineering, or a related quantitative field, or equivalent practical experience
  • Ability to work from anywhere in the US
  • Legal authorization to work in the United States
  • Willingness to undergo a background check in accordance with local law/regulations

Benefits:

  • Medical, dental, and vision coverage (100% employer-paid for employees)
  • Unlimited PTO
  • Paid holidays
  • Remote-first work policy
  • Annual learning stipend
  • Access to top conferences
  • Direct mentorship from experienced founders
  • Competitive equity package
  • Budget for equipment and software
  • High-trust, low-ego environment focused on impact, transparency, and work-life balance
  • Occasional team offsites