RTX

Data Engineer – Snowflake

RTX

full-time

Posted on:

Location Type: Hybrid

Location: CharlotteConnecticutIowaUnited States

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Salary

💰 $86,800 - $165,200 per year

About the role

  • Design, develop, and maintain data pipelines and ETL processes to support data analytics and reporting needs.
  • Utilize Snowflake to manage data warehousing, including data modeling, schema design, and optimization.
  • Implement ETL processes using Matillion to integrate, transform, and load data from various sources into Snowflake.
  • Write complex SQL queries for data retrieval, analysis, and reporting, optimizing for performance and efficiency.
  • Ensure data quality and integrity by developing and implementing data validation and cleansing procedures.
  • Work closely with data engineers, analysts, and business teams to understand data requirements and deliver solutions.
  • Investigate and resolve data issues, performance bottlenecks, and other technical challenges.
  • Create and maintain documentation for data processes, workflows, and architecture.

Requirements

  • Typically requires a University Degree and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience.
  • Must be authorized to work in the U.S. without sponsorship now or in the future.
  • 3+ years of experience in data engineering role, with proficiency in designing, implementing, and optimizing data pipelines and ETL processes.
  • Proven experience as a Data Engineer with a background in Snowflake, Matillion, Alteryx, and Tableau or relevant ETL and RDBMS technologies.
  • Strong SQL skills, including experience with complex queries, joins, and aggregations.
  • Experience developing dashboards and visualizations using Tableau.
  • Strong understanding of ETL processes and best practices, with hands-on experience using Matillion or relevant tools.
  • Strong analytical and problem-solving skills, ability to troubleshoot and resolve data-related issues.
  • Excellent written and verbal communication skills, ability to work effectively with cross-functional teams.
  • Strong organizational and time-management skills, ability to prioritize tasks and meet deadlines.
  • Comfortable working in a fast-paced, dynamic environment with changing priorities.
  • Experience in agile methodologies and experience as a Data Engineer in a cross-functional agile team.
Benefits
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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data pipelinesETL processesdata modelingschema designSQLdata validationdata cleansingdata analyticsdata warehousingdata retrieval
Soft Skills
analytical skillsproblem-solving skillscommunication skillsorganizational skillstime-management skillscollaborationadaptabilityprioritization