Data Engineer

Robots and Pencils

About The Position

We are seeking a Data Engineer to support the design, development, and deployment of data pipelines and infrastructure within a Databricks Lakehouse environment. This role will be instrumental in building scalable ingestion and transformation pipelines, enabling trusted financial reporting, and establishing a strong foundation for future analytics.

Requirements

  • 3–4+ years of experience in data engineering
  • Strong SQL and Python/Scala skills
  • Experience with ETL/ELT frameworks
  • Experience with cloud data platforms
  • Knowledge of distributed systems (Spark, Kafka)
  • Experience with data warehousing solutions
  • Understanding of data modeling techniques
  • Knowledge of DevOps practices for data systems
  • Strong problem-solving and analytical thinking
  • Ability to work in ambiguous, fast-moving environments
  • Excellent communication and stakeholder collaboration skills
  • Detail-oriented with a focus on data quality and accuracy
  • Ability to document work clearly and support knowledge transfer
  • Team-oriented mindset with the ability to work cross-functionally

Nice To Haves

  • Experience with DBT
  • Experience with streaming platforms
  • Experience with real-time data processing
  • Knowledge of data security and compliance
  • Exposure to MLOps
  • BI tool integration (Power BI, Tableau, Looker)

Responsibilities

  • Design and implement scalable data pipelines
  • Build and manage data warehouses and data lakes
  • Optimize data processing workflows
  • Ensure data quality, reliability, and availability
  • Implement data modeling and schema design
  • Integrate data from multiple systems
  • Implement data validation and monitoring
  • Collaborate with analytics, AI, and product teams
  • Support data governance and compliance efforts

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

11-50 employees

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