RealTruck, Inc.

Senior Cloud Data Engineer

RealTruck, Inc.

full-time

Posted on:

Location Type: Hybrid

Location: Remote • Florida • United States

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Job Level

Senior

Tech Stack

Amazon RedshiftAWSAzureCassandraCloudEC2Google Cloud PlatformKafkaMySQLPostgresPythonSQL

About the role

  • The Senior Cloud Data Engineer will maintain RealTruck’s data warehouse and ensure data is reliably collected, transformed, stored, and accessible for analytics, reporting, and enterprise decision-making.
  • This position will work closely with BI Analysts, international teams, and key stakeholders to evaluate needs, translate requirements into technical specifications, and ensure scalable, high-quality data solutions.
  • Additionally, this position will mentor junior engineers, fostering technical growth and best practices within the team.
  • The Senior Cloud Data Engineer will also support the development of RealTruck’s reporting views that will enable self-service reporting capabilities in Domo (RealTruck’s BI tool).

Requirements

  • Bachelor’s degree or equivalent work experience required.
  • 7+ years of experience in data engineering with an emphasis on data analytics and reporting is required.
  • 7+ years of experience with at least one of the following cloud platforms: Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) [preferred], others.
  • 7+ years of experience in SQL, data transformations, statistical analysis, and troubleshooting across more than one Database Platform (Cassandra, MySQL, Snowflake, PostgreSQL, Redshift, Azure SQL Warehouse, etc.).
  • 7+ years of experience in the design and build of data extraction, transformation, and loading processes by writing custom data pipelines.
  • 7+ years of experience with one or more of the following scripting languages: Python, SQL, Kafka and/or other.
  • 7+ years of experience designing and building solutions utilizing various Cloud services such as EC2, S3, EMR, Kinesis, RDS, Redshift/Spectrum, Lambda, Glue, Athena, API gateway, etc.
Benefits
  • Professional development opportunities
  • 401(k) matching
  • Flexible work hours
  • Paid time off
Applicant Tracking System Keywords

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

Hard Skills & Tools
data engineeringdata analyticsreportingSQLdata transformationsstatistical analysisdata pipelinesscripting languagescloud servicesdata extraction
Soft Skills
mentoringtechnical growthbest practicescollaborationcommunication
Certifications
Bachelor’s degree