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Overhaul

Senior Data Engineer

Overhaul

Senior Data Engineer building streaming pipelines and ML platforms for Overhaul, a supply-chain integrity solutions company. Enabling predictive analytics and AI-driven logistics products.

Posted 8/5/2026full-timeRemote • Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in architecting and maintaining scalable data systems, with a strong focus on building and optimizing data pipelines using Python, SQL, and Spark. Proven ability to enhance predictive analytics through machine learning models and ensure operational excellence in data quality and automation.

Highest-signal resume keywords
Python MasterySQL ProficiencySpark ExperienceData Pipeline DesignCI/CD Automation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data EngineeringMachine LearningPredictive AnalyticsDistributed Data ProcessingData Quality ImprovementStreaming Data HandlingData Pipeline ImplementationBig Data TechnologiesSparkSQLWeb-Scale Datasets
Soft Skills
Product OwnershipCollaborationCandid FeedbackAdaptabilityIndependent Learning
Tools & Technologies
DatabricksAzure Data LakeAzure SynapseAzure FabricPower BI
Industry Keywords
Enterprise-Grade Data SystemsData ProductsAI-Driven Product InnovationSoftware Development LifecycleCloud-Based Data Lake Tools

Tech Stack

Tools & technologies
AzureCloudPythonSparkSQL

About the role

Key responsibilities & impact
  • Architect, build, and maintain scalable, enterprise-grade data systems powering data products and capabilities
  • Design and maintain streaming data pipelines using Databricks and Spark
  • Create ML pipelines to feed data and update a variety of models
  • Develop ML models to enhance predictive analytics and support decision-making across departments
  • Own operational excellence for data pipelines and domains
  • Enable analytics functionality and an AI platform for AI-driven product innovation
  • Improve streaming data handling and data quality
  • Collaborate with teams, provide and receive candid feedback, and contribute across the software development lifecycle
  • Automate, test, document, and support CI/CD processes

Requirements

What you’ll need
  • Experienced and passionate Senior Data Engineer
  • Strong product ownership and intuition for using data in business decisions
  • Mastery of Python and SQL
  • Strong background in distributed data processing or software engineering of data services
  • Familiarity with big data technologies such as Spark
  • Experience working with web-scale datasets
  • Experience with cloud-based data lake tools
  • Experience designing and implementing data pipelines
  • Experience with Python and SparkSQL/Spark
  • Passion for automation, testing, CI/CD, documentation, and data quality
  • Ability to independently learn new technologies
  • Ability to work independently and collaborate in a rapidly changing environment with ambiguous requirements
  • Azure data tools experience, such as Data Lake, Synapse, or Fabric, is a plus
  • Power BI experience is a plus
  • BS in Computer Science or a related field preferred, but not required

Benefits

Comp & perks
  • Top employee health and well-being benefits
  • Care giver/adoption/family leave
  • Flexible Time Off Policy
  • Casual dress
  • Perks and discounts through employee assistance program