Talantix.io
Remote Position•29.01.26
AI SCORE 8.2

Mid-Senior Data Management Engineer - Remote

$115K–$214K/year
RemoteResearchWWRelocation
Data Management•Denodo•SQL•Data Integration•Data Architecture•Data Cataloging

About the Role

We are seeking a Mid-Senior Data Management Engineer to join our team remotely. In this role, you will enable seamless data access and delivery across our enterprise business systems, including Finance, HR, and Procurement. You will play a crucial role in curating data to facilitate AI and analytics by leveraging data virtualization tools such as Denodo, ensuring consistent and real-time access to distributed data assets.

What You'll Do

  • Conduct technical tasks in design, implementation, and management with data virtualization layers using tools like Denodo.
  • Collaborate with enterprise development teams on complex problems, virtualizing data sources relevant to Finance, HR, Procurement, and Supply Chain.
  • Curate data and semantic layers to streamline AI and ML workflows.
  • Partner with development teams to leverage existing enterprise data and create new data structures in a Denodo data virtualization environment.
  • Support the creation and maintenance of LLNL enterprise-wide data catalogs, lineage, and business glossaries.
  • Work closely with ML engineers to ensure virtualized data sources meet performance, accuracy, and versioning requirements for real-time and batch AI use cases.
  • Translate operational data requirements into scalable, governed data assets.
  • Support enterprise software and analytics development in delivering data-driven solutions for operational efficiency and intelligent automation.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • Significant experience in enterprise data management, data integration, or data architecture.
  • Experience applying data virtualization concepts in a production environment, preferably using Denodo.
  • Advanced knowledge of business operations data, including ERP systems such as Oracle Finance and PeopleSoft.
  • Proficiency in SQL, data modeling, metadata management, and data cataloging.
  • Excellent verbal and written communication skills for effective collaboration.

Nice to Have

  • Denodo Platform Certified Architect or Developer.
  • Experience working within Agile/Scrum environments.
  • Exposure to AI and ML tooling ecosystems such as Databricks or Azure ML.
  • Experience with cloud data platforms like Snowflake or BigQuery.
  • Familiarity with data privacy laws relevant to Finance and HR data.

What We Offer

  • Flexible schedule and hybrid work arrangement.
  • 401(k) plan with employer matching.
  • Relocation assistance for eligible candidates.
  • Education reimbursement program for professional development.
  • Inclusive work environment that values diversity and different perspectives.
  • Opportunity to work on impactful projects that enhance national security.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.2 of 10

This role offers a unique opportunity to work remotely as a Data Management Engineer at a prestigious national laboratory, contributing to significant projects in national security.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

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Proficient in Denodo for data virtualization, with a deep understanding of SQL for querying and managing data across diverse systems, enabling efficient data integration.

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Self-motivated and disciplined in a remote work environment, capable of managing time effectively to meet deadlines and deliver high-quality work without close supervision.

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Experienced in data architecture principles and best practices, with a mindset focused on continuous improvement in data cataloging and governance processes.

Learning Resources

→Denodo Documentationguide
→SQL for Data Sciencecourse
→Data Management Best Practicesarticle

Career Path

Mid-Senior Data Management Engineer(Now)→Data Management Architect(2-4 years)→Director of Data Management(5-7 years)

Market Overview

Market Size 2024
$13.5B
Annual Growth
22.4%
AI Adoption in Data Management
35%
Investment in Data Technologies
+150%
Labour Demand for Data Management Roles
+25%
Avg Salary for Data Management Engineers
$115K

Skills & Requirements

Required
Data ManagementDenodoSQL
Growing in Demand
Data GovernanceCloud Data Warehousing (e.g., Snowflake, Google BigQuery)Data Visualization (e.g., Tableau, Power BI)
Declining
Traditional ETL Tools (e.g., Informatica)Data Warehousing with On-Premise Solutions

Domain Trends

Rise of Data Fabric Architecture
Organizations are increasingly adopting data fabric architectures, with 70% of enterprises expected to implement this by 2025, enabling seamless data integration across diverse environments.
Increased Focus on Data Privacy and Compliance
With regulations like GDPR and CCPA, 60% of companies are investing in data governance solutions to ensure compliance, which is driving demand for skilled data management professionals.
Growing Importance of Real-Time Data Processing
The demand for real-time data processing capabilities is projected to grow by 30% annually, as businesses seek to leverage data for immediate insights and decision-making.

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