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DriveWealth

New

Data Engineer II

Posted Updated
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Summary

Data Engineer II building and maintaining data pipelines (batch, streaming) and semantic data layers using Python, SQL, Spark, Airflow, DBT, Databricks on AWS; collaborates cross-functionally to deliver trusted data solutions for fintech platform.

Compensation: $145k – $165k

About The Team

We are looking for a Data Engineer who thrives on solving data problems, and enjoys working cross-functionally with product, engineering and analytics teams to deliver trusted, high-impact data solutions. The ideal candidate is excited to take ownership of well-defined data challenges and support the evolution of our data platform.

The Data & Analytics organization at DriveWealth powers the company’s data ecosystem end-to-end. Within it, the Data Platform Engineering team owns two critical pillars:

  • Data Ingestion - building reliable pipelines that bring data from diverse internal and external sources
  • Semantic Data Layer - creating curated, consistent and reliable datasets that enable analytics, reporting and decision making

What You’ll Do

  • Contribute to the design, build and maintenance of robust data pipelines (batch, streaming and replication) that power analytics, reporting and compliance use-cases
  • Translate business needs into data solutions in collaboration with product managers, engineering teams and business stakeholders
  • Proactively monitor and address challenges and opportunities, helping to anticipate scaling, performance and quality needs before they become blockers.
  • Adhere to and promote best practices, including documentation, code reviews and standards for data modelling, orchestration and tooling
  • Actively participate in code reviews and knowledge sharing, raising the bar for data engineering craft and helping grow team capabilities
  • Support the contribution to self-service data products, enabling data consumers with curated datasets, semantic layers and tools that accelerate insight generation

You Bring

  • 2-3 years of professional experience in data engineering or related fields, with a track record of building and contributing to data pipelines and platforms.
  • Technical Skills:
    • Proficiency in Python and SQL
    • Familiarity with Spark (PySpark and SparkSQL) and distributed data processing
    • Familiarity with orchestration and transformation tools (e.g. Airflow, DBT)
    • Familiarity with Databricks and cloud platforms (AWS preferred)
    • Familiarity with infrastructure as code (e.g.Terraform or equivalent)
    • Working knowledge in shell scripting and command line tooling (e.g. Databricks CLI)
    • Proven ability to work independently and cross-functionally with product, engineering and business teams
    • Experience working in teams with CI/CD pipelines, Git-based workflows and Agile methodologies
    • Curiosity, accountability and a drive to improve data quality, scalability and usability across the company
    • BS in Computer Science or equivalent

Special Knowledge (Nice to Have, But Not Required)

  • Fintech or capital market experience
  • Familiarity with regulatory and compliance-driven reporting (e.g. FINRA, GDPR)
  • Experience supporting or mentoring junior team members.

Location

This role is open to candidates in the following locations:
New York, NY - Hybrid

  • This role is expected to come into the office 2-3 days/week on a cadence set by the Hiring Manager/Team.
  • If you're not based in one of the locations listed above, this role is not a fit, and we cannot accommodate remote work outside these locations.
  • Applicants must be authorized to work for any employer in the U.S. DriveWealth does not sponsor or take over sponsorship of an employment visa at this time.

Pay Range: $145,000 USD – $165,000 USD

Skills

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