Senior Data Engineer

64

Base: $120-140k; bonus/equity: not specified; bene...
Not specified
5+ years data/software development experience
Strong oracle pl/sql or database programming skills
Expertise in data warehousing and etl design tools
Ascensus is seeking a Senior Data Engineer to enhance data-driven decision-making through the design and maintenance of data processing systems. The role emphasizes security, reliability, and the use of AI in data handling and ETL processes, while fostering a culture of integrity and quality

Job Summary

  • The role involves designing, building, and maintaining secure, scalable data processing systems within the Enterprise Information Management team.
  • Candidates are expected to use Artificial Intelligence to accelerate the development of ETL components and perform data analysis.
  • The position offers a base salary range of $120-140k along with benefits including 401(k) match, medical, dental, vision, and paid time off.

Matching Summary

Match Score: 85

Ascensus is seeking a Senior Data Engineer to enhance data-driven decision-making through the design and maintenance of data processing systems. The role emphasizes security, reliability, and the use of AI in data handling and ETL processes, while fostering a culture of integrity and quality.

Salary

Base: $120-140k; Bonus/Equity: Not specified; Benefits: 401(k) match, Medical, Dental, Vision, Paid-Time-Off

Skills & Requirements

Must-have

  • 5+ years data/software development experience
  • Strong Oracle PL/SQL or database programming skills
  • Expertise in data warehousing and ETL design tools
  • Proficiency in relational databases like Sybase ASE or MySQL
  • Experience with AI Agents for code generation and analysis

Nice-to-have

  • Python experience with Pandas and PySpark
  • IDERA's Embarcadero ER/Studio Data Architect modeling
  • PowerBI or similar data reporting platform knowledge
  • CI/CD for database deployments using Liquibase
  • Mentoring junior staff members

Key Requirements

  • Bachelor's degree or equivalent work experience
  • 5+ years relevant experience in data engineering
  • Strong analytical and communication skills

Work Rights

Not specified

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