Sr. Data Engineer

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.
• SQL & Data Transformation: Write, optimize, and maintain complex SQL queries for data transformation and validation across AWS data services.
• Observability & Security: Implement and maintain observability tools (CloudWatch, Grafana) and ensure robust data security using best practices for IAM, encryption, and access control.
• Cross-Functional Collaboration: Partner with software, DevOps, and product teams to deliver comprehensive data solutions.

What do we require from you?

• BS 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
• ML data support and dataset management
• Data quality, validation, and governance
• Monitoring, metrics, and diagnostics systems
• Performance and cost optimization
• Linux, Docker, Terraform, and Git
• Experience with low-latency edge-to-cloud data pipelines.
• Familiarity with React/Node.js for internal tools or dashboards.
• Hands-on experience with a range of AWS services & IaC tools (Terragrunt, Atlantis).
• Exposure to additional monitoring tools (e.g., Prometheus) or end-to-end testing frameworks.

Some of our Perks:

• Salary in USD.
• 100% Work 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.
• English classes, virtual library and online courses.
• Contribution bonuses

Ready to take the next step in your career? 

Apply now!