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