Senior Data Engineer - Remote Data Ingestion & Connectors

Bluelight Consulting, Llc; Municipio de Rincón de los Sauces; Remote; ARS 151,455,000 - 227,183,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors. You will design and implement scalable data connectors and ingestion pipelines, working closely with customers to understand environments and architect reliable data flows into the platform.

You’ll combine data engineering, software engineering, and cloud infrastructure to deliver robust, scalable data solutions.

Qualifications

• Strong Python and bash development, SQL fluency.
• Experience with data warehouses, data lakes, and pipelines.
• Proficiency in AWS (EC2, Lambda, IAM, SQS, RDS, Kinesis, Glue, EKS) and Terraform, GitHub, Docker, dbt.
• Ability to thrive in iterative, autonomous, diverse environments.
• Customer-facing collaboration and technical advisory skills.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across app, infra, networking, API, and data layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and implementation best practices.
• Identify recurring customer requirements and translate them into reusable connectors or platform improvements.

Skills

Python

Bash

SQL

Data pipelines

AWS

Terraform

Docker

Kubernetes

GitHub

dbt

APIs

CI/CD

Data modeling

Education

Bachelor's degree in CS/SE

Tools

Terraform

Docker

Kubernetes

GitHub Actions

dbt

Adverity

Looker Studio

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors. You will design and implement scalable data connectors and ingestion pipelines, working closely with customers to understand environments and architect reliable data flows into the platform.

You’ll combine data engineering, software engineering, and cloud infrastructure to deliver robust, scalable data solutions.