You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data ... Datadog values people from all walks of life. We know not everyone will meet all the above ...
You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data ... Datadog values people from all walks of life. We know not everyone will meet all the above ...
Join a world-class team of skilled engineers who build creative digital solutions to support our ... Enjoy the flexibility of working from home and the energy of collaborating with peers in our ...
Join a world-class team of skilled engineers who build creative digital solutions to support our ... Enjoy the flexibility of working from home and the energy of collaborating with peers in our ...
Cloud Solutions Architect Hands on W-2 ONLY
Columbia, SC · Hybrid
$60.25 - $76.50/hr
W-2 ONLY NO SUBS NO SUBCONTRACTING Security Architect - Consultant (Cloud Engineer) The Department ... relevant hands-on engineering. 10 years infrastructure, systems engineering, DevOps, or ...
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Cloud Solutions Architect Hands on W-2 ONLY
Columbia, SC · Hybrid
$60.25 - $76.50/hr
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Now Enrolling: In-Home Aide (IHA) Training Class
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Now Enrolling: In-Home Aide (IHA) Training Class
Greensboro, NC · On-site
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Art Director - Cannabis Industry (Hands-On)
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Boston, MA · On-site
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Salesforce Solutions Engineer - Work From Home This Salesforce Solutions Engineer opening is a hands-on role configuring objects/fields and building automations, but it is critical that candidates ...
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Boynton Beach, FL · On-site
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From Home Hands On Engineering information
See salary details
$46.5K - $58.1K
1% of jobs
$58.1K - $69.7K
1% of jobs
$69.7K - $81.3K
2% of jobs
$81.3K - $92.9K
5% of jobs
$92.9K - $104.5K
7% of jobs
$114.1K is the 25th percentile. Wages below this are outliers.
$104.5K - $116K
10% of jobs
$116K - $127.6K
7% of jobs
$127.6K - $139.2K
6% of jobs
$139.2K - $150.8K
4% of jobs
$150.8K - $162.4K
3% of jobs
The median wage is $162.9K / yr.
$162.4K - $174K
52% of jobs
$46.5K
$146.9K
$174K
How much do from home hands on engineering jobs pay per year?
How does a remote, hands-on engineering role typically structure collaboration and access to necessary tools or equipment?
What is the difference between From Home Hands On Engineering vs Field Service Engineer?
| Aspect | From Home Hands On Engineering | Field Service Engineer |
|---|---|---|
| Work Environment | Primarily remote, with occasional on-site visits | Mostly on-site at client locations |
| Required Credentials | Technical certifications, engineering background | Technical certifications, engineering or technical degree |
| Industry Usage | Manufacturing, electronics, IT | Industrial equipment, machinery, electronics |
| Work Tasks | Remote troubleshooting, system setup, remote diagnostics | On-site repairs, maintenance, installation |
From Home Hands On Engineering typically involves remote technical work with occasional site visits, focusing on diagnostics and system setup. In contrast, a Field Service Engineer works primarily on-site, performing repairs and maintenance directly at client locations. Both roles require technical certifications and industry-specific knowledge, but their work environments and daily tasks differ significantly.
What are the key skills and qualifications needed to thrive as a remote hands-on engineer, and why are they important?
What is from home hands on engineering?

Datadog rating
9.6
Based on 6 frontline employees who took The Breakroom Quiz
1st of 485 rated business services
Job description
You will lead a small, hands-on engineering team building the secure, scalable Core Analytics Data Access Platform that accelerates Datadog's Applied AI and analytics capabilities. The team owns the Data Access Platform - a unified interface that lets AI and analytics teams discover and self-serve production-ready datasets while abstracting underlying systems and embedding required legal and compliance guardrails. In this role you'll own technical direction, contribute to design and code, and partner closely with Applied AI, Product Analytics, and internal platform teams to provide reliable datasets and APIs for model training and analysis. This role balances day-to-day engineering leadership with long-term platform planning.
At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.
What You'll Do:
- Lead a Hands-On Engineering Team: Manage, mentor, and grow a small team of 2-4 data engineers (mix of senior and junior) across Paris and NYC, fostering technical excellence and career development.
- Own Technical Direction and Delivery: Define architecture, engineering priorities, and the team roadmap for the Data Access Platform, driving implementation of scalable, secure data pipelines and platform services.
- Contribute to Design and Code: Spend substantial time coding, reviewing, and shipping critical platform components to ensure performance, reliability, and operational excellence.
- Partner with Internal Stakeholders: Work closely with Applied AI, Internal Product Analytics, product managers, and platform teams to define data contracts, APIs, SLAs, observability, and curated analytical datasets.
- Ensure Data Security, Governance, and Reliability: Implement access controls, lineage, monitoring, and compliance guardrails to support safe model training and repeatable analytics workflows.
- Plan and Scale the Platform: Evolve storage, processing frameworks, API patterns, and operational practices to enable broader adoption and prepare the platform for increased scope and usage.
Who You Are:
- Hands-On Engineering Manager who enjoys managing a small team while remaining an active contributor to design and code.
- Experienced in Data Pipelines and At-Scale Data Engineering, with practical experience building ETL/ELT, streaming and/or batch workflows, and production data servicing layers.
- Practical Knowledge of Our Core Stack: production experience with AWS, Spark, and Iceberg (or equivalent table formats and compute frameworks).
- Collaborative Partner to Data Scientists and Analysts: track record working with applied ML teams, data scientists, and analytics consumers to operationalize data for model training and analysis.
- Operationally Strong: experience defining SLAs, building observability, running incident response, and enforcing data governance in production systems.
- Pragmatic Architect and Deliverer: able to balance short-term delivery with long-term architecture and make tradeoffs that advance product and platform goals.
Datadog values people from all walks of life. We know not everyone will meet all the above qualifications on day one. That's okay. If you're passionate about technology and want to grow your experience, we encourage you to apply.
Benefits and Growth:
- New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
- Continuous professional development, product training, and career pathing
- Intradepartmental mentor and buddy program for in-house networking
- An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
- Access to Inclusion Talks, our Internal panel discussions
- Free, global mental health benefits for employees and dependents age 6+
- Competitive global benefits
Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.
To conform to US export control regulations, candidates should be eligible for any required authorizations from the US government. This job is available in various departments within our company; to conform to US export control regulations, some of these roles may require candidates to be eligible for any required authorizations from the US government.
#LI-Hybrid
About Datadog
Sourced by ZipRecruiter
Industry
Software development
Company size
1,001 - 5,000 Employees
Headquarters location
New York, NY, US
Year founded
2010