Senior Data Engineer, AWS

Job not on LinkedIn

🔥 6 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

RecruityTalent

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2024

💼 Consulting

📦 Logistics

🎯 Recruiter

Consulting • Logistics • Recruitment

RecruityTalent is a recruitment agency that partners with companies to manage the full hiring lifecycle, offering standard and flexible solutions through onsite recruitment projects and agency services. It provides end-to-end hiring support — including job postings, candidate sourcing, screening, interviews and offer management — with experience in IT, BPO and executive search, aligning hiring to clients' business vision and company culture.

📋 Description

• Design and build consumable data assets (CDAs/data products) on the client's AWS data platform, including defined schemas, documentation, and ownership • Hand data assets over to the owning product team • Work with product engineering teams and platform users to agree data contracts, map domain ownership, and understand data within the wider landscape • Onboard bronze and silver layer data from existing data warehouses using internal agentic tooling • Build tooling to accelerate adoption of the data platform • Build streaming and batch pipelines using Flink, SQL, Python, Kafka, Iceberg, and DynamoDB on AWS

🎯 Requirements

• Solid data engineering background built on large-scale data platforms and big data workloads • Hands-on experience with stream processing, event-driven architecture, and schema management • Strong streaming experience combined with practical batch data engineering experience • Working knowledge of AWS as a user of an established platform, with enough experience to stand up streaming pipelines and batch jobs • Practical experience working with Kafka, Iceberg, DynamoDB, and core AWS services • Exposure to Apache Flink using SQL or Python (PyFlink), with the ability to become productive within weeks rather than requiring deep specialization • Strong stakeholder management and communication skills • Proactive approach to working with other engineering teams and platform users • Ability to explain the value of data ownership and move technical discussions from hesitation to agreement • Experience at Lead Engineer level, including setting technical direction, running work end to end, and owning outcomes rather than individual tickets • Fluent English, both written and spoken

🏖️ Benefits

• Remote work arrangement • B2B or Standard contract options