Home › Companies › Electricmind › Data Engineering Manager — Data, Cloud and AI
Data Engineering Manager — Data, Cloud and AI
Electricmind · New York Metropolitan Area · Hybrid · Active · $170,000–$220,000 / year · Lever
Job facts
| Field | Value |
|---|---|
| Company | Electricmind |
| Title | Data Engineering Manager — Data, Cloud and AI |
| Normalized title | - |
| Department / team | Engineering |
| Location | New York Metropolitan Area, United States |
| Work model | Hybrid / Hybrid |
| Employment type | Full Time Permanent |
| Salary | $170,000–$220,000 / year |
| Status | active |
| ATS provider | Lever |
| Posted / first seen | 2026-03-10 / 2026-05-29 |
| Changed / last seen | 2026-05-29 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Electricmind. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Lever. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York Metropolitan Area. | Open |
| Work model jobs | Active Hybrid postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Electricmind |
| Source | 4506568d-f032-4186-afcc-fe8878a4b786 |
| ATS provider | Lever |
Description
At Electric Mind, Engineering is where strategy meets action. Our team helps organizations cut through complexity—aligning business ambition with technology execution to unlock real, lasting change. You’ll work alongside curious, driven people tackling high-impact challenges for everyone from scaling startups to global enterprises. Each engagement is different, pushing you to learn, adapt, and grow.
Electric Mind’s Technology Practice brings together deep engineering expertise, modern delivery disciplines, and pragmatic architectural thinking to help clients execute complex, mission-critical transformation. We design and implement scalable, secure, high-impact technology solutions that accelerate business outcomes.
Role Overview
We are seeking a senior hands-on engineering lead who has experience with data architecture, created unique data and analytics designs and built modern cloud-based data platforms that support analytics, AI, and machine learning workloads. This role requires deep engineering expertise combined with understanding of data architecture and platform engineering.
About Electric Mind
Electric Mind is a fast-growing, AI-native advisory and digital engineering firm built for those who want to shape the future, not just watch it happen. We blend premium strategy expertise with cutting-edge AI-centric engineering to solve complex, meaningful problems for industry-leading clients.
We pride ourselves on a high-touch delivery model and a culture that values diverse talent, innovation, and true client partnership — creating an environment where your ideas matter and your impact is visible.
If you’re looking for a place where you can grow fast, collaborate with exceptional teammates, and help build a company scaling its capabilities and global footprint at speed — Electric Mind is the place to ignite your career. The future is bright!
For more info on Electric Mind, check out our Careers Page and Instagram.
Electric Mind is committed to diversity in the workplace. We are an inclusive employer and welcome and encourage applications from all qualified candidates. Applicants’ needs will be accommodated during our recruitment and selection process so please advise us if you require accommodation.
What You'll Do
Data Engineering
Contribute and validate the data and analytics architecture
Establish engineering standards and best practices
Design and build scalable data platforms and solutions using cloud-native services and cloud data platforms
Expertise in implementing Data Products
Implement ingestion, transformation, and orchestration pipelines
Optimize performance and cost
Cloud & Platform Engineering
Experience and understanding in Infrastructure-as-Code
Implement and Integrated to CI/CD pipelines
Observability and reliability best practices and enablement
Implement containerized workloads
AI / ML Engineering
Enable ML pipelines and understanding of model deployment and monitoring
Experience in feature engineering workflows
Collaborate with data scientists and architects
What You'll Bring
10+ years data engineering experience
Strong Python and SQL skills
Experience with at least one cloud provider (GCP priority)
Knowledge of ML workflows and platform engineering
Experience with DevOps and automation
Experience in GCP data services (BigQuery, Dataflow, Vertex AI, Pub/Sub)
Experience building framework-based capabilities
Experience in Snowflake or Databricks
Streaming architectures
Experience leveraging AI/LLM code assists
Modern data modeling approaches
What You’ll Gain
You will help shape enterprise technology strategy for industry-leading clients while influencing the growth of Electric Mind’s engineering culture. You will work on high-impact, high-visibility programs and help mentor the next generation of technical leaders.
Full job record
| Job ID | feb0a2106385a9742392b1a9bdb22d1a4ebaa45f |
| Org ID | 590ff5a6-160b-47a4-9492-76332cdb7d3a |
| Source ID | 4506568d-f032-4186-afcc-fe8878a4b786 |
| Board ID | 4506568d-f032-4186-afcc-fe8878a4b786 |
| Provider | lever |
| Provider Job Key | 9f15f55b-f83e-4220-91ca-b9723969067a |
| Title | Data Engineering Manager — Data, Cloud and AI |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York Metropolitan Area |
| Department | — |
| Team | Engineering |
| Employment Type | Full Time Permanent |
| Workplace Type | hybrid |
| Remote Policy | hybrid |
| Country | United States |
| Region | — |
| City | New York Metropolitan Area |
| Salary Raw | USD 170000-220000 per-year-salary |
| Salary Min | 170,000 |
| Salary Max | 220,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.lever.co/electricmind/9f15f55b-f83e-4220-91ca-b9723969067a |
| Apply URL | https://jobs.lever.co/electricmind/9f15f55b-f83e-4220-91ca-b9723969067a/apply |
| First Seen At | 2026-05-29 06:59:57Z |
| Last Seen At | 2026-06-06 20:03:36Z |
| Last Checked At | 2026-06-06 20:03:36Z |
| Last Changed At | 2026-05-29 06:59:57Z |
| Inactive At | — |
| Source Posted At | 2026-03-10 20:14:18Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=lever/board=electricmind/date=2026-06-06/2026-06-06T20-03-35-730Z-0886d4b27c1ce97fa68f0bc8367fe9db3e830b0deac67a6d8b48c5d7c41b3e2f.json |
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