Data Engineer

Decisive Point; Norristown (Montgomery County); On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

401(k)

Health insurance

Paid time off

Vision insurance

Dental insurance

Job summary

Decisive Point is hiring a Data Engineer in Norristown, PA to architect and maintain real-time data streams from robots. In-person role requiring a Bachelor’s degree and U.S. Person status. You will build low-latency pipelines using Azure and on-premise systems, processing telemetry, video, and LiDAR data for R&D teams.

The position is full-time, Monday–Friday, with a $120,000–$160,000 annual salary and benefits, in-person work location at 52 Buttonwood Street, Norristown.

Qualifications

• 3+ years in data engineering with real-time or streaming data focus.
• Experience with cloud data storage and on-prem solutions.
• Proficiency in Python and data query languages.
• Experience with streaming data processing frameworks and time-series databases.

Responsibilities

• Design and maintain high-throughput, low-latency data pipelines for streaming data.
• Handle robot telemetry data including position, velocity, and battery life.
• Develop ingestion, storage, and retrieval for video and LiDAR data.
• Provide data access for R&D teams and define data formats with software engineers.
• Ensure data integrity during intermittent connectivity and cloud-to-robot transmission.

Skills

Python

Data query languages

Streaming data processing

Time-series databases

Education

Bachelor's degree

Tools

Azure Data Lake

Kubernetes

Job description

Data Engineer

52 Buttonwood Street, Norristown, PA 19401

$120,000 - $160,000 a year - Full-time

Job details

Pay

• $120,000 - $160,000 a year

Job type

• Full-time

Shift and schedule

• Monday to Friday

Work setting

• In-person

Benefits

Pulled from the full job description

• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Dental insurance

Full job description

Job Overview We are seeking an experienced Data Engineer to architect, build, and maintain the complex, real-time data streams generated by our fleet of mobile and static robots. This critical role involves managing video, telemetry, and sensor data, ensuring low-latency processing for real-time monitoring, efficient debugging, and training of our machine learning models.

Due to the nature of the projects worked on in this position, applicants must be a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees.

Primary duties include:

• Design, build, and optimize high-throughput, low-latency data pipelines using cloud (Azure) and on-prem services, specialized for streaming and time-series data.
• Manage and process data generated from robot telemetry (position, velocity, battery life, etc.).
• Develop solutions for efficient ingestion, storage, and retrieval of high-resolution video and Lidar point cloud data.
• Facilitate efficient access to data for R&D teams.
• Work with software engineers to define data formats and communication protocols for transmission from the robot to the cloud.
• Implement mechanisms for dealing with intermittent connectivity and ensuring data completeness.

Required Skills and Experience:

• Minimum of 3 years of hands‑on experience in a Data Engineering role, with significant focus on real‑time or streaming data.
• Experience with data storage services, including cloud-based (such as Azure Data Lake) and self-hosted.
• Expert-level proficiency in Python and data query languages.
• Experience with streaming data processing frameworks.
• Experience with time-series databases.

Preferred Experience:

• 5+ years of experience in Data Engineering, particularly within the robotics, IoT, or autonomous systems domain.
• Experience handling and processing video data at scale.
• Familiarity with Kubernetes for deploying scalable processing applications.
• Knowledge of geospatial data (GIS) processing and mapping libraries.
• Strong understanding of networking concepts and low-latency data transfer protocols relevant to robotics.

Job Type: Full-time

Pay: $120,000 - $160,000

Schedule:

• Monday to Friday
• Weekends as needed

Education:

• Bachelor’s (Required)

Work Location: In person

Job Type: Full-time

Pay: $120,000.00 - $160,000.00 per year

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Application Question(s):

• Are you a U.S. Person as defined by 22 C.F.R. §120.62. This includes U.S. Citizens, lawful permanent residents, refugees, or asylees. Yes Or No

Experience:

• Data Engineer in Robotics, IoT or Autonomous Systems Domain: 5 years (Required)

Work Location: In person