Senior Analyst, Data Engineering

Dell
Austin
Workplace: OnsiteFull timeUSD 102,000 - 132,000Function: Solutions Engineering & Sales EngineeringSkills: ["Collaboration","Stakeholder management","Agility","Documentation quality"]

Design and deliver trusted, AI-ready data pipelines and mappings by analyzing source and target database structures, building scalable ETL/ELT solutions, and strengthening data quality, lineage, and governance. Collaborate with stakeholders to create source-to-target transformation documents, support AI/ML enablement and agentic AI use cases, and use Python and automation practices to handle migration and quality issues while improving observability.

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FursaFursa
Dell
Dell
1 day ago

Senior Analyst, Data Engineering

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 23 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Design and deliver trusted, AI-ready data pipelines and mappings by analyzing source and target database structures, building scalable ETL/ELT solutions, and strengthening data quality, lineage, and governance. Collaborate with stakeholders to create source-to-target transformation documents, support AI/ML enablement and agentic AI use cases, and use Python and automation practices to handle migration and quality issues while improving observability.
Location: Austin
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Analyze source and target database structures to identify dependencies, constraints, and transformation needs, and create source-to-target mapping documents with transformation rules and business logic.
  • •Design and implement scalable data pipelines for analytics, AI, and machine learning workloads, aligning schemas, relationships, and data models with data architects.
  • •Improve data quality, observability, lineage, and governance processes while ensuring compliance with enterprise security, privacy, and responsible AI standards.
  • •Partner with data scientists, AI engineers, and business teams to enable trusted datasets for AI/ML model development and support implementation of agentic AI data solutions.
  • •Leverage AI-assisted development tools to improve productivity and documentation quality and evaluate opportunities for intelligent automation within data engineering processes.

Pay and Benefits

Salary: USD 102,000 - 132,000

Key Requirements

  • •Proficiency in Teradata, PostgreSQL, and SQL for querying, transforming, profiling, and validating data with relational/dimensional analytical data modeling.
  • •Experience with Informatica and Apache Airflow (or comparable integration platforms), plus familiarity with version control and CI/CD using Git-based workflows.
  • •Proficiency in Python for automation, orchestration, and custom data solutions, including handling data quality issues and migration challenges.
  • •Understanding of data lineage, metadata management, master data management (MDM), and governance concepts to ensure data integrity and compliance.
  • •Knowledge of AI-ready data engineering, including feature engineering concepts and dataset management for AI/ML workloads.
Experience:AI/MLData governance
Skills:CollaborationStakeholder managementAgilityDocumentation quality
Tech Stack:TeradataPostgreSQLSQLInformaticaApache AirflowGitCI/CDPythonPower BISSISSSRSTabular OLAPSemantic modelingMLOpsDataOpsCloud-native data servicesLakehouseData observabilityAnomaly detectionMachine learning

Company Brief

Dell
Designs, manufactures and sells computers, servers, storage, networking equipment, and related IT solutions and services for consumers, small businesses, and enterprises worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Round Rock, United States
Founded: 1984
Glassdoor
Glassdoor: 3.8
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