Data Engineer

Henderson Scott; Dallas (TX); Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Bonus opportunities

Healthcare & Insurance

Retirement plan

Work-Life Balance

Professional Development

Additional Benefits

Job summary

Henderson Scott is seeking an experienced Data Engineer with Robotics expertise to join a leading global technology services organisation, working on a large-scale data and AI initiative for a major enterprise. You will design and maintain scalable pipelines processing camera, LiDAR, GNSS, IMU, and telemetry data to create AI-ready datasets.

In this hybrid role, you will collaborate with AI/ML engineers and platform teams, implement data quality checks, metadata standards, and dataset

Qualifications

• 5+ years of hands-on Data Engineering experience with a Robotics focus.
• Strong programming skills in Python and SQL.
• Experience with unstructured and multimodal data (video, images, LiDAR, GNSS, IMU, telemetry).
• Proven ability to build end-to-end pipelines for AI/ML training datasets.
• Experience with cloud-based data platforms, object storage, data lakes/lakehouses, and workflow orchestration tools.
• Solid understanding of data quality, metadata management, schema evolution, data lineage, and reproducible pipelines.

Responsibilities

• Design, build, and maintain scalable data pipelines processing camera, LiDAR, GNSS, IMU, and telemetry data.
• Develop ingestion, synchronisation, transformation, validation, and publishing workflows for AI training datasets.
• Prepare, normalise, enrich, and package multimodal data for annotation and machine learning applications.
• Implement automated data quality checks covering completeness, integrity, calibration, timestamps, and consistency.
• Establish reusable data models, metadata standards, data lineage, and dataset versioning practices.
• Optimise pipeline performance, reliability, monitoring, and cost efficiency.
• Collaborate with AI/ML engineers, annotation teams, quality specialists, and platform engineers to resolve data challenges.
• Contribute to technical documentation, best practices, and continuous improvements.

Skills

Python

SQL

Distributed data processing

Robotics data engineering

Multimodal data

Tools

Cloud platforms

Job description

We are looking for an experienced Data Engineer with Robotics expertise to join a leading global technology services organisation, working on an exciting, large-scale data and AI initiative for a major industry-leading enterprise.

This is a fantastic opportunity for someone passionate about building scalable data pipelines and working with complex, multimodal datasets that power advanced AI and machine learning applications.

You'll be part of a collaborative engineering environment, helping transform raw sensor and telemetry data into high-quality, AI-ready datasets.

Data Engineers with experience within robotics will be prioritised.

What You'll Be Doing

• Design, build, and maintain scalable data pipelines processing camera, LiDAR, GNSS, IMU, and telemetry data.
• Develop robust ingestion, synchronisation, transformation, validation, and publishing workflows for AI training datasets.
• Prepare, normalise, enrich, and package multimodal data for annotation and machine learning applications.
• Implement automated data quality checks covering completeness, integrity, calibration, timestamps, and consistency.
• Establish reusable data models, metadata standards, data lineage, and dataset versioning practices.
• Optimise pipeline performance, reliability, monitoring, and cost efficiency.
• Collaborate closely with AI/ML engineers, annotation teams, quality specialists, and platform engineers to resolve data challenges.
• Contribute to technical documentation, best practices, and continuous improvements.

What We're Looking For

• 5+ years of hands-on Data Engineering experience with a Robotics focus.
• Strong programming skills in Python and SQL, with experience using distributed data processing frameworks.
• Experience working with unstructured and multimodal data, including video, images, LiDAR, GNSS, IMU, and telemetry.
• Proven ability to build end-to-end pipelines that produce curated, high-quality datasets for AI/ML training.
• Experience with cloud-based data platforms, object storage, data lakes/lakehouses, and workflow orchestration tools.
• Solid understanding of data quality, metadata management, schema evolution, data lineage, and reproducible pipelines.
• Familiarity with version control and modern data engineering best practices.
• Strong problem-solving skills, ownership mentality, and the ability to work effectively within an Agile engineering team.

What's on Offer?

Alongside a competitive base salary of $100,000 – $130,000, the benefits package includes:

• Bonus Opportunities: Discretionary annual incentive and performance-related bonus opportunities.
• Healthcare & Insurance: Medical, dental, vision, disability, and pet insurance options.
• Retirement & Financial Support: 401(k) plan, student loan refinancing, and financial assistance programmes.
• Work-Life Balance: Paid vacation, sick leave, holidays, and parental leave.
• Professional Development: Certification and training reimbursement to support your career progression.
• Additional Benefits: Commuter benefits, legal assistance, identity theft protection, and home/auto insurance options.

Why Consider This Opportunity?

You'll have the chance to work on technically challenging, high-impact data engineering projects at the intersection of AI, machine learning, and advanced sensor technologies.

With a permanent position, hybrid working arrangement, competitive compensation, and opportunities for professional growth, this is an excellent next step for an experienced Data Engineer looking to make a real impact.

Interested?

If you're a Data Engineer with strong Python, SQL, multimodal data and Robotics experience, I'd love to hear from you.