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Senior Data Engineer

  • Office
  • 6+ years

Salary

$140,000 - 180,000/ year

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Description

We are looking for a Senior Data Engineer to build and scale the foundational data platform that powers analytics, real-time decisioning, and operational intelligence across Alo.

This role is for an experienced builder who has delivered production-grade data systems across event ingestion, transformation, modeling, and serving and knows how to make them reusable, reliable, and scalable.

You will build and extend the batch and real-time systems teams rely on to ingest, process, and act on data, enabling marketing automation, inventory intelligence, and order fulfillment visibility.

Responsibilities

  • Build and operate core components of the data platform, primarily on AWS
  • Implement and scale event-driven pipelines using Kinesis, Kafka, or similar
  • Develop and extend Medallion architecture (Bronze/Silver/Gold)
  • Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery)
  • Support real-time marketing use cases (segmentation, triggers, personalization)
  • Build data models and pipelines for inventory intelligence and allocation optimization
  • Build pipelines for order lifecycle and SLA insights
  • Apply and help improve standards for data modeling, testing, CI/CD, and observability
  • Partner with cross-functional teams across business domains
  • Mentor junior engineers and contribute to code review and design discussions

Requirements

  • Platforms & Infrastructure
  • Cloud platforms (AWS, GCP, Azure)
  • Event-driven and streaming pipelines
  • CI/CD and infrastructure-as-code
  • Data Engineering
  • dbt, SQL, Python
  • Batch and real-time pipelines
  • Medallion architecture
  • Experience
  • 3-5+ years in data engineering or platform engineering
  • Experience working on large-scale data platforms
  • Retail/e-commerce experience preferred
  • The base salary range for this position is $140,000-$180,000 per year which represents the current range for the base salary for this exempt position. Please note that actual salaries will vary based on factors including but not limited to location, experience, and performance. As such, on occasion and when applicable, there is the possibility that the final, agreed-upon base salary may be outside of the upper end of the range. Please also note the range listed is just one component of the company’s total rewards package for exempt employees. Other rewards may include performance bonuses, long term incentives, a PTO policy, and many other progressive benefits.

Benefits

  • Mindful movement. It’s at the core of why we do what we do at the company—it’s our calling. Because mindful movement in the studio leads to better living. It changes who yogis are off the mat, making their lives and their communities better. That’s the real meaning of studio-to-street: taking the consciousness from practice on the mat and putting it into practice in life.

Where you’d work

From the office

About the company

Company hidden

Office in CA, United States

Your chances

Still hiring, not crowded yet, and you'd be among the first.

  • 17 checks run
  • 7 good signs
  • 0 red flags

Still hiring?

11 checks

Actively hiring

In its favour4

  • Still on the company's own careers site, checked 1 h agoModerate evidence
  • Found in the last 48 hours, before the big job boardsModerate evidence
  • Specific about the basics: pay, place, level, stack and contract all statedSlight evidence
1 moreFewer
  • States its salarySlight evidence

How crowded?

6 checks

Low

In its favour3

  • In its Early Window: not on the big job boards yetStrong evidence
  • Senior level: far fewer people qualifySlight evidence
  • Asks for BigQuery, which fewer than 1% of open roles doSlight evidence

Fits Me

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  • Must-haves
Details11 facts · Role, Location, Compensation, Employment
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Kafka
  • Azure
  • BigQuery
Seniority
Senior
Type
Full-time
Specialty
Data Engineering
Region
United States
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Seniority
Senior
Experience
5+ years
Tech stack
  • Python
  • SQL
  • AWS
  • dbt
  • Kafka
  • Azure
  • BigQuery

Location

Work model
Office
Region
United States
Office
  • CA, United States

Compensation

Salary
$140,000 - 180,000 / year
Pay period
Annual

Employment

Type
Full-time

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