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Hebbia

Data Engineer

Seeking the first Data Engineer to architect ETL pipelines, manage a central data lake, and drive data governance for an AI platform serving top financial institutions. Requires 5+ years of data engineering experience with Python, SQL, and big data tools.

190k – 250kNew York, NYSan Francisco, CAData EngineeringOnsite5+ YOE
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About the role

Responsibilities

  • Architect, build, and maintain ETL pipelines and workflows that ensure high data quality and reliability
  • Design and manage a central data lake to consolidate data from various sources, enabling advanced analytics and reporting
  • Collaborate with cross-functional stakeholders (product, engineering, and business) to identify data gaps and develop effective solutions
  • Implement best practices in data security and governance to ensure compliance and trustworthiness
  • Evaluate and integrate new technologies, tools, and approaches to optimize data processes and architectures
  • Continuously monitor, troubleshoot, and improve data pipelines and infrastructure for performance, scalability, and cost-efficiency

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field
  • 5+ years software development experience at a venture-backed startup or top technology firm, with a focus on data engineering
  • Significant hands-on experience in data engineering (ETL development, data warehousing, data lake management, etc.)
  • Proficient in Python and SQL; comfortable working with cloud-based data stack tools
  • Familiar with big data processing frameworks (e.g., Spark, Hadoop) and data integration technologies (e.g., Airflow, DBT, or similar)
  • Experience implementing data governance, security, and compliance measures
  • Strong collaboration and communication skills, with the ability to translate business requirements into technical solutions

Nice-to-Haves

  • Prior experience in a high-growth or startup environment
  • Adept at identifying and owning data projects end to end, with the ability to work independently and exercise sound judgment

Compensation & Benefits

  • Salary range: $190,000 - $250,000
  • Unlimited PTO
  • Medical, Dental, Vision, 401K + Wellness Benefits
  • Catered lunch daily + DoorDash dinner credit
  • 3 months parental leave for non-birthing parent, 4 months for birthing parent
  • $15k lifetime fertility benefit
  • Competitive equity package

Skills

PythonSQLETLSparkHadoopAirflowdbtData WarehousingData LakesData Governance

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