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Senior Data Engineer

LinkedIn Eliassen Group Dallas-Fort Worth Metroplex
Mid-Senior level Posted March 26, 2026 Job link
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Requirements
  • 6+ years of experience in data engineering, analysis, data warehouses, and data lakes.
  • Strong SQL skills with experience across multiple database platforms.
  • Proficiency with relational databases such as Oracle SQL and PL/SQL or similar RDBMS.
  • Experience with cloud data warehousing, preferably Snowflake or equivalent services.
  • Expertise in ETL/ELT data movement and scheduling, specifically with Azure Data Factory.
  • Hands-on experience building and managing Azure Data Factory pipelines with diverse data sources and APIs.
  • Experience with data modeling techniques and tools such as PowerDesigner.
  • Experience working in agile, multi-developer environments following design and coding best practices.
  • Experience with DevOps, CI/CD, and deploying pipelines in cloud-native infrastructure.
  • Experience with AWS or Microsoft Azure services such as Lambda or S3.
  • Ability to translate business analytic needs into technical data solutions in enterprise environments.
  • Strong focus on resiliency, reliability, and performance optimization.
  • Excellent written and oral communication skills.
  • Experience with Microsoft Power Platform and Power Automate for data integration (preferred).
  • Experience in data architecture and database design (preferred).
  • Scripting or coding experience in Python, Unix, or Java (preferred).
Preferred Skills
  • Experience with cloud data warehousing, preferably Snowflake or equivalent services.
  • Experience with AWS or Microsoft Azure services such as Lambda or S3.
  • Experience with Microsoft Power Platform and Power Automate for data integration (preferred).
  • Experience in data architecture and database design (preferred).
  • Scripting or coding experience in Python, Unix, or Java (preferred).
  • AWS Certification (preferred).
  • Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process.
Education
  • (Not required) – Bachelor’s or Master’s degree in a technology-related field such as Computer Science or Engineering.
  • (Not required) – AWS Certification (preferred).