Sr. Data Engineer
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Welcome to Devlane! We are a dynamic software development company with a strong presence across Latin America. Currently, we specialize in offering staff augmentation services to clients worldwide, with a particular focus on North America.
Joining our team offers you the opportunity to shine and make a significant impact on the projects you work on. Many of our clients are modern small to medium-sized businesses experiencing rapid growth, and they're eager to add core members like you to their teams. This environment ensures you'll stay up-to-date with the latest technology trends.
At Devlane, our values are straightforward: we foster a collaborative environment and prioritize building long-lasting relationships where you can develop your skills as a software engineer and learn from your peers.
What's the role about?
You’ll play a key role in shaping the data infrastructure behind our cloud and edge solutions. You’ll work alongside a group of talented engineers and take ownership of designing, building, and maintaining robust data systems that support real-time insights, automation, and analytics. From ingesting edge device data to optimizing cloud-based pipelines, your work will directly impact the performance, scalability, and reliability of an end-to-end Robotics platform. You'll work with cutting-edge AWS and IoT technologies to deliver high-impact, end-to-end data pipelines for both batch and real-time analytics, collaborating closely with cross-functional teams.
What You’ll Do:
Develop scalable data pipelines for sensor data, telemetry, diags, &performance metrics.
Build cloud data infrastructure using AWS and GCP for analytics and ML workloads .
Develop and optimize SQL data models and queries for reporting and analysis.
Partner with ML engineers to support dataset generation, training, validation, and monitoring.
Collaborate with software teams to integrate data capture and logging into production robots.
Define data quality checks, validation, and governance standards .
Enable system diagnostics and health monitoring through metrics, dashboards, and alerts.
Build & Manage Data Pipelines: Develop secure and scalable data ingestion and transformation pipelines using AWS services (Glue, Lambda, Athena, Timestream, S3) and edge technologies (MQTT, AWS IoT Greengrass).
Infrastructure as Code (IaC): Define, develop, & deploy cloud infrastructure using Terraform.
Observability & Security: Implement and maintain observability tools (CloudWatch, Grafana) and ensure robust data security using best practices for IAM, encryption, and access control.
What do we require from you?
Bachelors Degree in Computer Science.
5+ years of relevant data and apps experience pushed to production at scale.
Data pipeline design and orchestration.
Cloud data platforms on AWS and GCP.
SQL and data modeling for analytics .
Python and Javascript / Typescript.
Sensor, telemetry, and log data handling.
Linux, Docker, Terraform, and Git.
Experience with low-latency edge-to-cloud data pipelines.
Hands-on experience with a range of AWS services & IaC tools (Terragrunt, Atlantis).
Some of our perks:
Salary in USD.
100% Remote from Home.
25 days of Paid Time Off per year.
8-hour workday, with flexible hours.
Welcome kit from the brand.
High-end hardware provided: laptop, mouse, & headphones.
English classes, virtual library and online courses.
Contribution bonuses.
Ready to take the next step in your career?
Apply now!
- Department
- Engineering
- Role
- Data Engineer
- Locations
- LATAM
- Remote status
- Fully Remote