This one is closed
Live roles like this one
-
D
2h ago
Staff Machine Learning / Operations Research Engineer
Burq United States
-
B
2h ago
Cybersecurity Engineering & Operations Director
Onit United States $150k - $190k/yr
-
B
2h ago
Senior Manager, GEO Strategy & AI Search Activation
Kaplan United States $65k - $162k/yr
-
B
1h ago
RETR Anywhere in the World salary $85,000
See every "Data Engineer" role →
Get new “Data Engineer” roles by email
One email a day with what is new in "Data Engineer". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 39/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
About SafeLease
At SafeLease, we're rethinking how P&C insurance is sold in an age of technological change. We believe the industry's biggest inefficiencies aren't technical problems — they're structural ones. And we're building the team to tackle them.
SafeLease is a profitable insurance business that designs, underwrites, and distributes specialty coverage for commercial property owners and their tenants. Most insurance companies either distribute products or bear the risk — we do both. We back our policies with our own capital, which means we control the full stack: product design, tech, and the speed at which we move. That end-to-end ownership lets us offer customers real flexibility, saving time and money for more than 4,000 properties insured for billions in value nationwide.
We're a team of 70, growing over 100% annually, and we've done it without sacrificing profitability or culture. Here, you'll get high discretion and a wide aperture of problems to solve. We embrace the newest technologies, move fast together, and operate with the intensity of a small company where every person's work is visible. If you're looking for a place to sharpen your craft alongside people who take their work seriously, you'll fit right in.
This position requires working in the office 3 days per week in either New York City or Austin, TX. Applicants who are unable to work from either office location or are not willing to relocate will not be considered.
About The Role
As a Data & Backend Engineer building our Data Platform, you'll design and build our data infrastructure from the ground up: ingestion pipelines that span multiple systems, Python and SQL transformations that give the whole company a trustworthy view of our business, and backend structures making that data accessible where it's needed. You'll be a force multiplier for every team at SafeLease.
What you'll build
End-to-end data pipelines integrating sources across our internal and external apps, 3P vendors and Saas systems
Transformations within and between infrastructure: OLTP, OLAP and S3
Backend Python services and APIs that expose platform data to internal consumers and downstream workflows
Monitoring, alerting, and data quality frameworks so we know when something breaks before anyone else does
Data architecture decisions that will create agility and the ability to scale the business
What we're looking for
3–6 years working on data infrastructure or backend systems in production
Strong Python: you write clean, testable code and know when to reach for a library vs. rolling your own
Strong SQL: complex joins, window functions, CTEs, and query optimization feel natural
Experience designing and shipping cross-system data pipelines (ETL/ELT) that are reliable in the real world
Comfort interpreting data - you become the expert on the data you touch
Collaborative instincts: you'll work closely with product, frontend, analytics, research
Nice to have
Experience with dbt for SQL-native transformation layers
Familiarity with Airflow, Prefect, or another orchestration framework
Exposure to AWS Lambda, IAM, KMS, MWAA, ECS/EKS
Background at an insurtech, proptech, or similarly regulated domain
Opinions about data modeling: star schema, normalization tradeoffs
Experience being one of the first data engineers at a company
Compensation: $130,000 to $225,000 base, depending on experience and qualifications.
Why SafeLease?
The tech: Our prospects convert fast because we’re solving real problems and delivering serious value to commercial real estate owners.
The team: We’re a team of seasoned pros and sharp operators who know how to move fast and build smart. High standards, low ego.
The stability: We’re well-funded, growing fast, and we make sure our team shares in that success with competitive pay and equity.
The employee experience: We also offer unlimited PTO, full health benefits, flexible work setups, and the kind of culture where people want to show up to do their best work.
If you don't have all the qualifications listed, don't worry! We understand everyone's career path is unique and still encourage you to apply if you feel this role is aligned with your career trajectory.
Employment at SafeLease is contingent upon a satisfactory verification of a general and criminal background check.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 02 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.