Data Engineer

We're Hiring: Data Engineer | Dallas, TX (Hybrid)

Location: Dallas, TX – Hybrid Working

Salary: $100,000 – $130,000 + Comprehensive Benefits

We are looking for an experienced Data Engineer 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.

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.
• 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, and multimodal data experience, I'd love to hear from you.