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Senior Data Engineer

BravoTech

Dallas, TX

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JOB DETAILS
SKILLS
Access Control, Analysis Skills, Background Investigation, Best Practices, Business Analysis, Channel Strategies, Cloud Computing, Communication Skills, Computer Security, Customer Relationship Management (CRM), Data Analysis, Data Lake, Data Management, Data Modeling, Data Quality, Data Sets, Data Warehousing, Database Extract Transform and Load (ETL), Documentation, ERP (Enterprise Resource Planning), Ecosystems, Forecasting, Git, Identify Issues, Machine Tool, Marketing, Mentoring, Metadata, Python Programming/Scripting Language, Quality Management, Reporting Dashboards, Root Cause Analysis, SQL (Structured Query Language), Scalable System Development, Software Administration, Software Engineering, Software as a Service (SaaS), Systems Maintenance, Technical Leadership, Technical Recruiting, Technical Writing, Technical/Engineering Design, Trend Analysis, United States Citizen, Usability Engineering, Use Cases
LOCATION
Dallas, TX
POSTED
30+ days ago

Senior Palantir Data Engineer 
 

Bravotech a leader in IT staffing and staff augmentation services, seeks a talented Senior Data Engineer for a premier client in Dallas, Texas. 
The ideal candidate will have the following skills:  Data Engineer, Python, Palantir, Foundry, PySpark, SQL, ETL, Pandas, GIT
The Senior Data Engineer will serve as a key technical leader in designing, building, and owning scalable, reliable, and well-governed data solutions that power enterprise analytics and decision-making.
This role sits at the intersection of data engineering, analytics enablement, and governance. The Senior Data Engineer will own complex data pipelines and curated data products end-to-end, partner closely with analytics and business stakeholders, and establish technical standards that improve data quality, usability, and trust across the organization.
The ideal candidate is comfortable operating in ambiguity, independently owning data domains, and acting as a mentor and force multiplier within the data engineering team.
  • Design, build, and own end-to-end ETL/ELT pipelines across diverse data sources using Python, PySpark, pandas, and SQL
  • Architect scalable, resilient data integration solutions supporting analytics, reporting, and operational use cases
  • Own ingestion, transformation, validation, and monitoring workflows to ensure data accuracy, availability, and performance
  • Manage and optimize data lake and warehouse environments within a cloud-based SaaS ecosystem
  • Establish and maintain integrations with enterprise systems and external platforms (ERP, CRM, POS, marketing platforms, etc.)
  • Troubleshoot complex data issues, perform root-cause analysis, and implement durable, long-term fixes
  • Develop analytics-ready datasets and curated data products enabling self-service reporting and analysis
  • Build and maintain custom analytics applications using Palantir Foundry Workshop, Pipeline Builder, PySpark, and pandas
  • Partner with business analysts, analytics consumers, and department leaders to translate operational and commercial questions into scalable data solutions
  • Automate reporting and dashboard workflows to reduce manual effort and improve data accessibility
  • Enable advanced analytical use cases (forecasting, trend analysis, anomaly detection) by delivering feature-ready datasets
    Support and enhance data governance frameworks to improve data quality, consistency, security, and compliance
  • Collaborate with stakeholders to define and enforce data standards, naming conventions, and access policies
  • Implement and maintain role-based access controls (RBAC) in partnership with IT and security teams
  • Contribute to medallion architecture, data modeling standards, metadata management, and documentation practices
  • Set expectations for maintainability, reliability, and clarity in data engineering deliverables
  • Participate in design reviews and help shape long-term platform and architecture strategy
  • Create and maintain clear, comprehensive technical documentation for pipelines, data products, and integrations
  • Identify opportunities to improve tooling, development workflows, and engineering practices
  • Stay current on data engineering and analytics best practices and introduce improvements that deliver measurable value
  • US Citizen or GC (No sponsorship options)
  • Supreme Communication Skills
  • Ability to work hybrid 2-3 days a week in Dallas, Texas
  • Ability to pass drug screen and background check 

 

About the Company

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BravoTech

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