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
data engineeringdata analyticsreportingSQLdata transformationsstatistical analysisdata pipelinesscripting languagescloud servicesdata extraction
Soft skills
mentoringtechnical growthbest practicescollaborationcommunication
Certifications
Bachelor’s degree