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.
Senior Data Engineer
Beverly Hills LAND, Beverly Hills, CA (HQ-L)
Actively hiring, first seen by us today- Pay
$140,000–180,000/year · BaseLocation-specific pay — pay source
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. For CA residents, Job Applicant Privacy Policy HERE.
Read the full posting- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingBuild 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)
From the employer’s posting
RESPONSIBILITIES Build and operate core components of the data platform, primarily on AWS Implement and scale event-driven pipelines using Kinesis, Kafka, or similar
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)
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)
What you’ll bring
All qualificationsCore experience
- 3-5+ years in data engineering or platform engineering
- Experience working on large-scale data platforms
Qualification wording
3-5+ years in data engineering or platform engineering
Experience working on large-scale data platforms
Posting record
Report an errorActively 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
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
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
Where the posting names them
- Data Engineering - dbt, SQL, Python - Batch and real-time pipelines
RESPONSIBILITIES - Build and operate core components of the data platform, primarily on AWS - Implement and scale event-driven pipelines using Kinesis, Kafka, or similar
- Platforms & Infrastructure - Cloud platforms (AWS, GCP, Azure) - Event-driven and streaming pipelines
- 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 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)
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.
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
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 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
QUALIFICATIONS
- 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.
For CA residents, Job Applicant Privacy Policy HERE.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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. 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.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.