Senior Data Engineer — Remote, End-to-End Data Platform Lead

Wealth.com

USA

Remote

USD 120.000 - 180.000

Vollzeit

Vor 2 Tagen
Sei unter den ersten Bewerbenden

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Unlimited PTO
Medical and dental benefits
401k with match and vesting on hire
Equity through Carta
Fully remote with periodic in-person</
Paid parental leave

Zusammenfassung

Wealth.com is seeking a data engineer to own the data platform end to end, including pipelines, Airflow, dbt and a Redshift warehouse. You will ensure data reliability, diagnose issues, and prevent recurrence while bringing data from diverse sources into a clean, usable warehouse.

You will influence data architecture, collaborate with Platform to align upstream model changes, and help design scalable, cost-effective data solutions in a fintech setting.

Qualifikationen

  • 4+ years in data engineering, analytics engineering, or related role.
  • At least 2 years at a company operating at meaningful scale.
  • Strong SQL and Python for data processing and pipeline work.
  • Hands-on with dbt and orchestrating production pipelines (Airflow or similar).
  • Experience moving pipelines onto Airflow.

Aufgaben

  • Own the data platform end to end, including pipelines, Airflow, dbt, and Redshift.
  • Ensure reliability and trust in the data; identify causes of issues and prevent recurrence.
  • Ingest, clean, model, and prepare data for others to use.
  • Contribute to data architecture decisions around warehouse design, scalability and cost.

Kenntnisse

SQL
Python
Data modeling
Data warehousing
Regulatory compliance

Tools

Airflow
dbt
Redshift
AWS

Jobbeschreibung

Wealth.com is seeking a data engineer to own the data platform end to end, including pipelines, Airflow, dbt and a Redshift warehouse. You will ensure data reliability, diagnose issues, and prevent recurrence while bringing data from diverse sources into a clean, usable warehouse.

You will influence data architecture, collaborate with Platform to align upstream model changes, and help design scalable, cost-effective data solutions in a fintech setting.

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