Senior Data EngineerInsight Global • Austin, TX, US

Senior Data Engineer

Insight Global • Austin, TX, US

[job_card.variable_days_ago]

[job_preview.job_type]

[job_card.full_time]

[job_card.job_description]

Our client is seeking a highly technical Senior Data Engineer to join their Data Intelligence & Systems Architecture (DISA) team. This engineer will play a foundational role in shaping the enterprise data platform, owning ingestion, modeling, and activation of data that powers reporting, decision-making, and automation across the organization.

This role partners directly with teams across Supply Chain & Manufacturing, Finance & Accounting, HR, Software, Field Operations, and R&D. The ideal candidate combines strong data engineering expertise with business curiosity, high ownership, and a bias toward action.

Ranked Must-Haves

Highly technical data engineering skillset
End-to-end ownership of data infrastructures or projects with measurable business impact
Personable, collaborative, action-oriented, and comfortable working fully on-site

Role Focus Areas : Material Operations

Data pipelines supporting concrete production workflows

Supply chain analytics

Cost tracking, forecasting, inventory management

Hardware Reliability

Machine and equipment performance monitoring

Predictive maintenance analytics

Field service ticket analysis

Technical Requirements

Strong Python scripting (required)

SQL proficiency (preferred)

Palantir Foundry experience (highly valued but not required)

Alternative experience : AWS, Snowflake, Power BI

Proven end-to-end data infrastructure ownership

Experience with IoT / hardware analytics (plus)

Experience integrating data from APIs, machine data sources, ERP systems, SaaS tools, and cloud storage platforms

Core Responsibilities

Lead ingestion and transformation pipelines across internal tools, SaaS systems, and industrial data sources

Model and maintain governed, high-quality data assets for reporting, diagnostics, forecasting, and automation

Build analytics frameworks and operational dashboards with real-time visibility into cost, progress, equipment status, and material flow

Partner with business and technical stakeholders to translate pain points into scalable data solutions

Develop advanced analytics capabilities including predictive maintenance and proactive purchasing workflows

Implement best practices in reliability, versioning, documentation, and testing

Mentor team members and support a culture of excellence in data engineering

Minimum Qualifications

8+ years in data engineering, analytics engineering, or backend software development

Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related field

Hands-on expertise with Python and SQL

Experience delivering scalable data products in fast-paced environments

Strong understanding of data modeling, business logic abstraction, and stakeholder engagement

Preferred Experience

Supporting Manufacturing, Field Operations, or Supply Chain teams with near real-time analytics

Familiarity with platforms such as Procore, Coupa, or NetSuite

Building predictive models or workflow automation

Background in data governance, observability, or maintaining production-grade pipelines

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