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.
Work setup in the employer’s posting: HybridFrom the employer’s posting
Employment type in the employer’s posting: FullTimeFrom the employer’s 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
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.
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.
Mecka AI is building the data infrastructure layer for robotics and embodied AI.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$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.
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.
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd 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.
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.
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New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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.
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.
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.
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.
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New York
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