Staff Data Engineer — Remote, Lead Data Pipelines & Analytics

Self

Austin (TX)

Hybrid

USD 160,000 - 195,000

Full time

14 days+

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Benefits offered by this job

Company equity in the form of stock options
Performance-based bonuses
Generous employer-paid health, vision and dental insurance
Flexible vacation policy
Educational assistance
Free gym membership
Casual dress code
Team building events
Remote work arrangements
Paid parental leave

Job summary

Self Financial in Austin, Texas is seeking an experienced Staff Data Engineer to lead the data pipeline and provide technical leadership. You will collaborate across teams to ensure high-quality data delivery that supports business intelligence and analytics.

This role requires 8+ years of experience in database development and analytics, proficiency in SQL and Python, and familiarity with Amazon Redshift. The position offers a competitive salary and a range of benefits including health insurance and flexible work arrangements.

Qualifications

  • 8+ years of experience with database development and integration.
  • 8+ years of experience designing complex data models.
  • Strong written and oral communication skills.

Responsibilities

  • Lead the data pipeline and model data schemas.
  • Collaborate with Product Management for actionable projects.
  • Create physical and logical data models with large datasets.

Skills

Database development
Data analytics tools
Data ETL/ELT processes
SQL
Python
Amazon Redshift
Git
JIRA
Confluence
Apache Airflow

Job description

Self Financial in Austin, Texas is seeking an experienced Staff Data Engineer to lead the data pipeline and provide technical leadership. You will collaborate across teams to ensure high-quality data delivery that supports business intelligence and analytics.

This role requires 8+ years of experience in database development and analytics, proficiency in SQL and Python, and familiarity with Amazon Redshift. The position offers a competitive salary and a range of benefits including health insurance and flexible work arrangements.

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