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Database Engineer

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: FullTime
From the employer’s posting

What you’ll work on

Full posting

Our database layer sits under everything Mecka ships, and it's growing quickly.

As part of our Platform Engineering & Infrastructure team, you'll work hands-on with MongoDB and ClickHouse at scale and take on challenges no one has solved for us yet.

  • Own and make key decisions for the MongoDB and ClickHouse database layer

  • Learn the current database setup and take over from a contract MongoDB engineer

  • Design medium- and long-term schema and database plans

  • Plan how to handle 2x to 10x data growth without outages or runaway cost

  • Solve new scaling problems quickly without cutting corners

From the employer’s posting
Our database layer sits under everything Mecka ships, and it's growing quickly. We're looking for someone to own it: learn what we've built, set the plan for where it goes next, and help us scale.
As part of our Platform Engineering & Infrastructure team, you'll work hands-on with MongoDB and ClickHouse at scale and take on challenges no one has solved for us yet. We need someone who brings both speed and quality, and who wants real ownership.
Take full ownership of Mecka's MongoDB and ClickHouse, and make the decisions that keep them healthy.
Get a real grasp of the current setup in your first months, including a short overlap with a MongoDB engineer on contract
Come in with a medium- and long-term plan for schema and database design.
Map out what 2x to 10x data growth looks like, and how we avoid outages without a ton of compute and cost.
Take on the unique problems that come with scaling, and find the path forward quickly without cutting corners.

What you’ll bring

All qualifications

Core experience

  • 3+ years owning databases in a fast-paced, growing environment
  • Expert-level MongoDB and ClickHouse, including advanced features at scale
  • Experience scaling databases through rapid growth
  • Ability to ramp up quickly and take ownership of the database layer
Qualification wording
3+ years owning databases in a growing, fast-paced environment.
Expert in MongoDB and ClickHouse, including advanced features at scale.
You've scaled databases through rapid growth before
You can ramp up, and you're ready to own the database layer.

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.

In the employer’s words · Read in context

Apply at Mecka AI

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 13, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 15, 2026

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 2,239 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 6 and day 56.

From 13,745 similar postings that came down. Coming down is not always a hire.

Mecka AI is hiring

4 open jobs

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

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.

  • ClickHouse
  • MongoDB
Where the posting names them
Our database layer sits under everything Mecka ships, and it's growing quickly. We're looking for someone to own it: learn what we've built, set the plan for where it goes next, and help us scale. As part of our Platform Engineering & Infrastructure team, you'll work hands-on with MongoDB and ClickHouse at scale and take on challenges no one has solved for us yet. We need someone who brings both speed and quality, and who wants real ownership. What you'll do
What you'll do - Own the database layer: Take full ownership of Mecka's MongoDB and ClickHouse, and make the decisions that keep them healthy. - Learn it, then own it: Get a real grasp of the current setup in your first months, including a short overlap with a MongoDB engineer on contract, and take it from there.
- 3+ years owning databases in a growing, fast-paced environment. - Expert in MongoDB and ClickHouse, including advanced features at scale. - You've scaled databases through rapid growth before, and you bring those lessons with you.
- Own the database layer: Take full ownership of Mecka's MongoDB and ClickHouse, and make the decisions that keep them healthy. - Learn it, then own it: Get a real grasp of the current setup in your first months, including a short overlap with a MongoDB engineer on contract, and take it from there. - Design the schema path: Come in with a medium- and long-term plan for schema and database design.

Your next step

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Demand for Data Engineer roles

New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.

Weekly new Data Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 860, the most 1,354, and the latest week had 1,335.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 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 ↗

About Mecka AI

Mecka AI is building the data infrastructure layer for robotics and embodied AI.
We design and operate global systems for data capture, data labeling, and hardware-enabled workflows used by leading AI labs and robotics companies to train and validate humanoid and embodied AI systems.
We work closely with frontier robotics teams to bridge real-world data, simulation, learning-based systems, and deployed hardware.

About the role

Our database layer sits under everything Mecka ships, and it's growing quickly. We're looking for someone to own it: learn what we've built, set the plan for where it goes next, and help us scale.

As part of our Platform Engineering & Infrastructure team, you'll work hands-on with MongoDB and ClickHouse at scale and take on challenges no one has solved for us yet. We need someone who brings both speed and quality, and who wants real ownership.

What you'll do

  • Own the database layer: Take full ownership of Mecka's MongoDB and ClickHouse, and make the decisions that keep them healthy.

  • Learn it, then own it: Get a real grasp of the current setup in your first months, including a short overlap with a MongoDB engineer on contract, and take it from there.

  • Design the schema path: Come in with a medium- and long-term plan for schema and database design.

  • Plan the scale-up: Map out what 2x to 10x data growth looks like, and how we avoid outages without a ton of compute and cost.

  • Solve what's new: Take on the unique problems that come with scaling, and find the path forward quickly without cutting corners.

What you'll need

  • 3+ years owning databases in a growing, fast-paced environment.

  • Expert in MongoDB and ClickHouse, including advanced features at scale.

  • You've scaled databases through rapid growth before, and you bring those lessons with you.

  • You can ramp up, and you're ready to own the database layer.

  • You move quickly, and you have a point of view on how we should scale, avoid outages and keep this sustainable.

This posting is for an existing vacancy (a newly created role).

If you don't check every box above but believe you can do the job, we encourage you to apply — we're looking for capability and trajectory, not a perfect checklist match.

We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, we will partner with you to meet your needs.

We may use AI-assisted tools to help evaluate applications against the requirements of this role. These tools support our recruiting team in identifying qualified candidates but do not replace human judgment or limit which applications may be reviewed or considered.

Source details

View original posting ↗

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Location & working pattern

New York

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