Data Engineer: Streaming & Sensor Pipelines (Onsite, CO)

Addx Corporation; Colorado Springs, Denver (CO, CO); On-site; USD 120,000 - 150,000; Full time

Job summary

Addx Corporation is hiring a Data Engineer in Colorado Springs, CO or Denver, CO for an onsite role. You will build and operate the data foundation that machine learning applications depend on, integrating cleaned, standardized datasets using Python and AWS.

Responsibilities include designing scalable streaming and batch data pipelines, ensuring data quality, and implementing reliable data delivery with observability and security in mind. Onsite team collaboration is expected.

Qualifications

• Experience designing, implementing, and operating production streaming and batch data pipelines.
• Experience with data storage systems and data quality controls.
• Ability to investigate unfamiliar systems and communicate recommendations.
• Strong software engineering practices including testing, version control, and deployment.

Responsibilities

• Design and operate streaming and historical data pipelines across databases and APIs.
• Develop maintainable workflows for streaming and historical data.
• Implement configurable data filtering for downstream systems.
• Evaluate processing, storage, and access approaches for reliability and cost.
• Establish consistent schemas, timestamps, and source metadata.
• Build tested pipelines with monitoring and access controls.

Skills

Streaming pipelines

Batch pipelines

Automated testing

Version control

Deployment

Time-series data

Telemetry data

Sensor data

Schema evolution

Partitioning

Data access patterns

Investigation & planning

Tools

Python

AWS

Job description

Addx Corporation is hiring a Data Engineer in Colorado Springs, CO or Denver, CO for an onsite role. You will build and operate the data foundation that machine learning applications depend on, integrating cleaned, standardized datasets using Python and AWS.

Responsibilities include designing scalable streaming and batch data pipelines, ensuring data quality, and implementing reliable data delivery with observability and security in mind. Onsite team collaboration is expected.