RealTruck, Inc. · 1 day ago
Senior Cloud Data Engineer
RealTruck, Inc. is seeking a Senior Cloud Data Engineer to maintain their data warehouse and ensure reliable data collection, transformation, and storage for analytics and reporting. The role involves collaborating with stakeholders to develop scalable data solutions, mentoring junior engineers, and supporting the development of reporting views for self-service capabilities.
AutomotiveE-CommerceRetail
Responsibilities
Design, build, and maintain RealTruck’s enterprise Data Warehouse (DW) and associated cloud data environments
Develop and update data warehouse schemas, business reporting tables, data dictionaries, and system documentation
Architect and implement secure, scalable, and reliable solutions for data storage, retrieval, and long-term data stewardship
Evolve data models and structures to support analytics, forecasting, reporting, and business operations globally
Build and optimize large-scale batch and real-time data pipelines using SQL, Python, and cloud services (AWS or GCP)
Extract, ingest, and unify data from diverse enterprise systems—domestic and international—into the centralized data warehouse
Transform raw data into analytics-ready datasets and publish curated reporting tables for BI and self-service environments
Create and maintain business reporting views, including datasets and structures for Domo self-service reporting
Implement data quality checks, automated validation, and monitoring to ensure accuracy and trustworthiness
Partner with domestic and international business stakeholders, analysts, and engineering teams to define data needs, clarify requirements, and deliver high-impact data solutions
Translate business requirements into technical specifications, process flows, and test plans
Coordinate with international business units to harmonize global data standards, ingestion methods, privacy needs, and compliance
Support multi-region data governance, standardization, and data availability across time zones
Develop APIs and complex data pipelines leveraging Python, SQL, Spark, Trifacta Dataprep, and cloud-native services
Manage and optimize orchestration tools (e.g., Dataproc, Dataform, Airflow, dbt, Step Functions, Glue, or similar)
Implement infrastructure-as-code (IaC) for scalable deployments and maintain CI/CD workflows for data engineering assets
Participate in project planning by identifying milestones, deliverables, risks, and resource requirements
Track project activities, communicate progress, and ensure timely execution across cross-functional and international teams
Support enterprise digital transformation, data modernization, and cloud migration initiatives
Build automated validation frameworks and monitoring mechanisms for pipeline performance, data integrity, and system health
Ensure compliance with data privacy regulations, including domestic and global requirements (GDPR, data residency, etc.)
Partner with security teams to maintain access controls, encryption, and governance best practices
Mentor junior-level engineers through code reviews, technical coaching, and enforcing engineering best practices
Promote continuous learning and knowledge-sharing across the Data Engineering and BI organization
Evaluate emerging tools and technologies to drive innovation, automation, and scalability within RealTruck’s data ecosystem
Use an analytical, data-driven mindset to support evolving business needs and deliver actionable insights at speed
Qualification
Required
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
Very strong problem-solving, analytical, logic and reasoning competencies required
Advanced experience with SQL, Python, and cloud data platforms (AWS, Azure, or GCP)
Strong background in data warehouse design, data modeling, and pipeline development
Hands-on experience with orchestration tools (Airflow, Dataform, dbt, etc.) and IaC/CI/CD workflows
Proven ability to collaborate across global teams and translate business requirements into technical solutions
Experience mentoring engineers and leading technical initiatives
Experience with Domo or similar BI/self-service platforms
Knowledge of Spark, Dataprep/Trifacta, and distributed data processing frameworks
Familiarity with GDPR, data privacy, and security best practices for multi-region operations
Preferred
Google Cloud Platform (GCP) certification - Nice to have
Company
RealTruck, Inc.
RealTruck is the world's premier manufacturer and digital destination of accessories for truck, Jeep®, Bronco® and off-road enthusiasts around the world.
H1B Sponsorship
RealTruck, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (4)
Funding
Current Stage
Late StageTotal Funding
unknown2022-04-19Series Unknown
2015-04-01Acquired
Recent News
DBusiness Magazine
2025-10-03
Company data provided by crunchbase