DATA ENGINEER

Overview

On Site
Depends on Experience
Full Time

Skills

Data Engineer
ETL
Airflow
Dagster
python
SQL
Spark
Pandas
API

Job Details

Data Engineer

Location: Onsite in Austin, Texas

Full-time

Note:1. client is willing to look over local consultant from Austin or TX only as relocation would not be considered and no expenses is provided

2.looking from 3-10+ years consultant and salary depends on years of experience.

Description:

We re looking for a Data Engineer to help build and maintain the data pipelines that power our investment, research, and analytics teams. You ll work closely with data scientists, quants, and investors to onboard new datasets, ensure data quality, and maintain the reliability of the data that drives decision-making across the firm. Need solid work history , no job hoopers.

What You ll Do

  • Build, maintain, and troubleshoot ETL pipelines (Airflow, Dagster, or similar).
  • Ingest and deeply understand new datasets their structure, quirks, and business meaning.
  • Maintain high-quality, well-documented datasets used across the organization.
  • Partner with non-engineering stakeholders to understand data needs and guide them to the right sources.
  • Evaluate data vendors and ensure we use the best data for each use case.

What We re Looking For

  • Strong Python and SQL skills.
  • Experience building data pipelines; familiarity with Spark or Pandas a plus.
  • Strong attention to detail and persistence in debugging data issues.
  • Clear communication skills, especially with non-technical audiences.
  • 1 3 years of experience (or strong internships); senior candidates also welcome.

Who Thrives Here

  • Curious, detail-oriented engineers who like diving deep into complex datasets.
  • People who enjoy owning problems end-to-end and defining their own requirements.
  • Engineers who build reliable, maintainable systems and prefer fast, iterative execution.

Why Join

  • High-impact role: the data you manage powers investment decisions across the firm.
  • Broad exposure to many types of financial and alternative data.
  • Opportunity to shape a growing data function and work with teams across the entire company.

Qualifications

  • Strong Python and SQL skills.
  • Experience building data pipelines; familiarity with Spark or Pandas a plus.
  • Strong attention to detail and persistence in debugging data issues.
  • Clear communication skills, especially with non-technical audiences.
  • 1 3 years of experience (or strong internships); senior candidates also welcome

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