Senior Data Engineer - Build Scalable Data Infrastructure

Socket.dev

Columbus (OH)

Hybrid

USD 140,000 - 180,000

Full time

4 days ago
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Benefits offered by this job

Medical/dental/vision
Paid holidays and PTO
401K with company match
Home mortgage discount

Job summary

Lower is seeking a Senior Data Engineer to join the Data & Analytics team. You will design and build major data-infrastructure components powering reporting, analytics, and decision-making across the business, using Snowflake, dbt, Looker, and Domo.

This hybrid role requires ownership of end-to-end data initiatives, mentoring engineers, and collaborating with stakeholders across marketing, sales, operations, finance, product, and mortgage operations.

Qualifications

  • 5–8+ years in data engineering, analytics engineering, BI engineering, or a similar data-focused role with demonstrated ownership and impact.
  • Deep SQL expertise and experience with large, complex datasets.
  • Experience with a cloud data warehouse (Snowflake, Redshift, BigQuery, or Databricks).
  • Significant experience with dbt or a similar transformation framework.
  • Strong Python for data processing, automation, and orchestration.
  • Fluency with BI/analytics tools such as Looker, Domo, Tableau, or Power BI.

Responsibilities

  • Design and build major components of the Snowflake warehouse: ingestion, transformation, and core schema domains (including legacy Redshift work).
  • Lead ingestion of complex datasets across multiple sources, connectors, data shares, SFTP, APIs, and native integrations.
  • Define modeling standards with dbt and build curated models, marts, and reusable data assets to support reporting and analytics.
  • Own end-to-end initiatives with minimal oversight and deliver durable, scalable solutions.
  • Handle ambiguous multi-system problems, plan architecture changes, and drive scalable design decisions.
  • Set high code quality standards through reviews, testing, and documentation; ensure consistency across repos.
  • Support and troubleshoot production pipelines and incidents; collaborate with stakeholders across marketing, sales, operations, finance, product, and BI teams.
  • Mentor junior engineers and influence modeling/architecture decisions within the team.

Skills

SQL
Data modeling
Python
Mentoring
Problem-solving
Communication
Stakeholder collaboration
Data pipelines
Performance tuning

Tools

Snowflake
dbt
Looker
Domo
Redshift

Job description

Lower is seeking a Senior Data Engineer to join the Data & Analytics team. You will design and build major data-infrastructure components powering reporting, analytics, and decision-making across the business, using Snowflake, dbt, Looker, and Domo.

This hybrid role requires ownership of end-to-end data initiatives, mentoring engineers, and collaborating with stakeholders across marketing, sales, operations, finance, product, and mortgage operations.

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