Data Engineer II

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