Data Engineer

Acestack; Dallas (TX); On-site; USD 100,000 - 140,000; Full time

Job summary

Acestack is seeking a Data Engineer in Dallas, TX to design, build, and maintain scalable data pipelines for camera, LiDAR, GNSS, IMU, and telemetry streams. The role emphasizes processing multimodal data and preparing high-quality AI training datasets.

You will implement data quality checks, metadata standards, and dataset versioning while collaborating with AI, annotation, and platform teams in an agile environment.

Qualifications

• 5+ years of data engineering experience.
• Experience processing unstructured multimodal data (video, images, LiDAR, GNSS, IMU, telemetry).
• Strong Python and SQL with distributed processing experience.
• Cloud data platforms, data lake/lakehouse, and workflow orchestration knowledge.
• Data quality, metadata, lineage, and reproducible pipelines.

Responsibilities

• Design, develop, and maintain scalable pipelines for camera, LiDAR, GNSS, IMU, and telemetry data.
• Normalize, synchronize, enrich, and package multimodal data for annotation and AI training.
• Implement automated checks for completeness, integrity, calibration, timestamps, formats, and dataset consistency.
• Create reusable data models, metadata standards, lineage, and dataset-versioning practices.
• Optimize pipeline performance, reliability, observability, and cost.
• Troubleshoot data defects and collaborate with AI, annotation, quality, and platform teams.
• Document technical designs, operating procedures, and handoffs.

Skills

Data engineering experience

Multimodal data processing

Python

SQL

Distributed data processing

Cloud data platforms

Data quality & lineage

Tools

Workflow orchestration tools

Version control

Job description

Job Title: Data Engineer

Location: Dallas, TX

Full Time

Job Description

Must Have Technical/Functional Skills

• 5+ years of data engineering experience.
• Demonstrated experience processing unstructured and multimodal data, including video, images, LiDAR, GNSS, IMU, and telemetry.
• Experience building pipelines that create curated AI training datasets through ingestion, synchronization, transformation, validation, and publishing.
• Strong Python and SQL skills with experience in distributed data processing frameworks.
• Experience with cloud data platforms, object storage, data lake or lakehouse patterns, workflow orchestration, and version control.
• Knowledge of data quality, metadata, lineage, schema management, and reproducible dataset pipelines.

Roles & Responsibilities

• Design, develop, and maintain scalable pipelines for camera, LiDAR, GNSS, IMU, and telemetry data.
• Normalize, synchronize, enrich, and package multimodal data for annotation and AI training.
• Implement automated checks for completeness, integrity, calibration, timestamps, formats, and dataset consistency.
• Create reusable data models, metadata standards, lineage, and dataset-versioning practices.
• Optimize pipeline performance, reliability, observability, and cost.
• Troubleshoot data defects and collaborate with AI, annotation, quality, and platform teams.
• Document technical designs, operating procedures, and handoffs.

Generic Managerial Skills, If Any

Strong ownership, analytical problem solving, communication, and ability to work independently within an agile delivery team