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Lead Data Engineer

Beverly Hills LAND, Beverly Hills, CA (HQ-L)

Actively hiring, first seen by us today
Pay
$180,000–220,000/year · BaseLocation-specific pay — pay source
Retail/e-commerce experience preferred The base salary range for this position is $180,000-$220,000 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. For CA residents, Job Applicant Privacy Policy HERE.
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Work setting
Not stated
Employment
Not stated

What you’ll bring

All qualifications

Core experience

  • 6-8+ years in data engineering or platform engineering
  • Experience with large-scale data platforms
Qualification wording
6-8+ years in data engineering or platform engineering
Experience with large-scale data platforms
Apply at ALO

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,163 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 0

Early. Similar jobs usually come down between day 6 and day 54.

From 11,327 similar postings that came down. Coming down is not always a hire.

ALO is hiring

4 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • dbt
  • GCP
  • Kafka
  • Redshift
  • Snowflake
  • Tableau
Where the posting names them
- Data Engineering - dbt, SQL, Python - Batch and real-time pipelines
REQUIREMENTS - Architect and own the end-to-end data platform, primarily on AWS - Design and scale event-driven architectures using Kinesis, Kafka, or similar
- Platforms & Infrastructure - Cloud platforms (AWS, GCP, Azure) - Event-driven and streaming architectures
- Build and evolve Medallion architecture (Bronze/Silver/Gold) - Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake) - Enable real-time marketing use cases (segmentation, triggers, personalization)
- Architect and own the end-to-end data platform, primarily on AWS - Design and scale event-driven architectures using Kinesis, Kafka, or similar - Build and evolve Medallion architecture (Bronze/Silver/Gold)
- Establish standards for data modeling, testing, CI/CD, and observability - Enable analytics via Tableau and ThoughtSpot - Partner with cross-functional teams across business domains
- Analytics & Data Products - Tableau and ThoughtSpot - Semantic layers and KPI standardization

Your next step

Complete your application on boards.greenhouse.io. The employer’s form will show what is required.

Applying through Greenhouse

  • No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
  • Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.

Already applied? Track this application

Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 839, the most 1,314, and the latest week had 1,082.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

WHY JOIN ALO?

Mindful movement. It’s at the core of why we do what we do at ALO—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.

OVERVIEW 

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

This role is for a deeply experienced builder who has designed production-grade data systems end to end—from event ingestion and transformation to modeling, serving, and governance—and understands how to make them reusable, reliable, and scalable. 

You will define the technical backbone for how teams ingest, process, and act on data across both batch and real-time systems, enabling marketing automation, inventory intelligence, and order fulfillment visibility. 

REQUIREMENTS 

  • Architect and own the end-to-end data platform, primarily on AWS 
  • Design and scale event-driven architectures using Kinesis, Kafka, or similar 
  • Build and evolve Medallion architecture (Bronze/Silver/Gold) 
  • Develop ELT pipelines using dbt and modern warehouses (Redshift, BigQuery, Snowflake) 
  • Enable real-time marketing use cases (segmentation, triggers, personalization) 
  • Design systems for inventory intelligence and allocation optimization 
  • Build pipelines for order lifecycle and SLA insights 
  • Establish standards for data modeling, testing, CI/CD, and observability 
  • Enable analytics via Tableau and ThoughtSpot 
  • Partner with cross-functional teams across business domains 
  • Act as technical leader and mentor across engineering teams 

QUALIFICATIONS 

  • Platforms & Infrastructure  
  • Cloud platforms (AWS, GCP, Azure) 
  • Event-driven and streaming architectures 
  • CI/CD and infrastructure-as-code 
  • Data Engineering  
  • dbt, SQL, Python 
  • Batch and real-time pipelines 
  • Medallion architecture 
  • Analytics & Data Products  
  • Tableau and ThoughtSpot 
  • Semantic layers and KPI standardization 
  • Experience  
  • 6-8+ years in data engineering or platform engineering 
  • Experience with large-scale data platforms 
  • Retail/e-commerce experience preferred 

The base salary range for this position is $180,000-$220,000 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. 

 

For CA residents, Job Applicant Privacy Policy HERE.
 
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Pay
Retail/e-commerce experience preferred The base salary range for this position is $180,000-$220,000 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. For CA residents, Job Applicant Privacy Policy HERE.
Location & working pattern

Beverly Hills LAND, Beverly Hills, CA (HQ-L)

Working pattern and location restrictions need checking in the full posting.

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