Data Engineer (AWS Glue + Elasticsearch)

OnHires; Umbria; Remoto; EUR 40.000 - 70.000; Tempo pieno

Descrizione del lavoro

A high-growth SaaS startup is looking for a Data Engineer to lead the development of data pipelines and infrastructure. The ideal candidate will have expertise in AWS Glue, PySpark, and Elasticsearch, and will work in a fast-paced environment. This role offers autonomy and collaboration with talented professionals, competitive salary, and a clear path for career growth.

Servizi

Competitive salary and benefits package

Clear path for career growth

Casual and collaborative work culture

Competenze

• Proven experience with AWS Glue, PySpark, and S3.
• Deep understanding of Elasticsearch including queries and performance optimization.
• Strong Python skills, particularly with PySpark and Pandas.

Mansioni

• Build and maintain data processing pipelines using AWS Glue and S3.
• Work with large-scale datasets in Elasticsearch and MongoDB.
• Create workflows for data transformation, cleaning, and normalization.
• Optimize and tune search infrastructure for performance enhancements.

Conoscenze

AWS Glue

PySpark

S3

Elasticsearch

Python

Data quality

Schema evolution

Operational monitoring

Descrizione del lavoro

Remote | Full-time | SaaS | Data Engineering

OnHires is partnering with Instantly.ai, a high-growth AI-driven sales outreach and lead intelligence platform used by over 35,000 B2B companies worldwide. We are looking for a Data Engineer to take ownership of SuperSearch — the backend infrastructure powering B2B lead discovery and enrichment.

About the Role

As a Data Engineer, you’ll lead the development and maintenance of large-scale data pipelines and infrastructure that drives our core lead intelligence platform. This role blends classic data engineering with semantic search and LLM-powered enhancements — in a fast-paced, high-impact startup environment.

Key Responsibilities

Build and maintain data processing pipelines using AWS Glue (PySpark) and S3

Work with large-scale datasets in Elasticsearch and MongoDB

Create robust workflows for data transformation, cleaning, and normalization

Optimize and tune our search infrastructure, including query design and semantic enhancements (LLMs, DeepL, embeddings)

Collaborate closely with product and engineering teams to deliver scalable solutions

Must-Have Skills

Proven experience with AWS Glue, PySpark, and S3

Deep understanding of Elasticsearch (queries, aggregations, performance optimization)

Strong Python skills (esp. with PySpark and Pandas)

Experience with data quality, schema evolution, and operational monitoring

Familiarity with LLMs, embeddings, or semantic search techniques is a strong plus

Bonus : Experience with Node.js or general JavaScript backend development

Why Instantly.ai?

Join a product-led, profitable SaaS startup on its way to unicorn status

Work directly on a critical product area with full ownership and autonomy

Fast-moving environment with minimal red tape and maximum impact

Collaborate with high-caliber engineers, data scientists, and product minds

Company Perks

Opportunity to work with a rapidly growing SaaS company in a dynamic industry

Chance to work with a talented and passionate team of professionals

Competitive salary and benefits package

Clear path for career growth and advancement

Casual, remote-friendly, and collaborative work culture

Opportunity to make a meaningful impact on the future of our platform

If you’re excited about owning critical data infrastructure in a high-growth SaaS environment - we’d love to hear from you. Apply today, and we’ll get in touch shortly.

J-18808-Ljbffr

J-18808-Ljbffr