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Data Engineer Director

Data Engineer Director

Whitewater Express Car WashHouston, TX, US
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Job Description

Job Description

Data Engineer Director

At WhiteWater Express, we are more than just a car wash; we are a company built on respect, communication, and a passion for people. Our dedicated team members are leaders within the company, and we believe that personal growth is the key to our organizational success. If you are a self-starter, motivated, and ready to take on new challenges, we want you to succeed with us, as a part of a rapidly growing business.

Position Overview

The Data Engineer Director will be a hands-on leader responsible for architecting, building, and managing Whitewater's data infrastructure, strategy, and team. You will lead, mentor, and grow a DevOps team of three with the objective of creating a scalable data ecosystem that supports analytics, marketing, operations, and provides cross-departmental tools.

Key Responsibilities

Team Leadership & Strategy

  • Lead and Mentor : Manage, hire, and develop a high-performing team of three fostering a culture of innovation and collaboration.
  • Drive Strategy : Define and own the roadmap for Whitewater's data engineering and business intelligence platform, ensuring alignment with company objectives.

Data Architecture & Engineering

  • Architect Data Solutions : Design, build, and maintain our entire data pipeline, from data ingestion and ETL / ELT processes to data warehousing and modeling.
  • Build the Foundation : Develop robust, scalable, and reliable data infrastructure using modern cloud technologies.
  • Ensure Data Quality & Governance : Implement processes to monitor data quality, ensuring data is accurate and reliable. Write and maintain data definitions and documentation.

    • Business-Driven Analytics Enablement

  • Partner for Impact : Work closely with marketing and operations to understand their business questions and deliver the data solutions they need.
  • Oversee Analytics & Modeling : Guide the development of key analytics models, including recency-frequency-monetary (RFM) segmentation and churn prediction, ensuring they help optimize lifetime value and retention.
  • Empower Stakeholders : Build clean, structured datasets that power dashboards, reporting, and ad hoc analysis for business users across the company.

    • Who You Are

    Technical & Hands-On : Expert in SQL and Python, turning raw data into actionable insights while tackling complex technical challenges.

    Business-Focused : Skilled at translating business questions into analytical frameworks and connecting data to outcomes.

    Analytics-Savvy : Experienced with customer segmentation, cohort analysis, churn modeling, and lifetime value optimization.

    Pragmatic Leader : Balances precision with speed, leads technical teams, mentors, and manages projects end-to-end.

    Collaborative : Communicates complex technical concepts clearly and delivers measurable business impact.

    Qualifications

  • 10+ years of hands-on experience in data engineering, dev ops, or a related field, with at least 4 years in a leadership or management role.
  • Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (advanced degree is a plus).
  • Experience in a high-growth, multi-unit retail, subscription / membership, or ecommerce business is strongly preferred.
  • Demonstrated ability to translate business requirements into technical solutions is required.
  • Expert-level proficiency in Python and SQL.
  • Hands-on experience with cloud data platforms like; Snowflake, AWS (S3, Redshift, Glue), Azure (Data Factory, Synapse), or Google Cloud (BigQuery, Dataflow).
  • Proven experience building and optimizing ETL / ELT pipelines and a strong understanding of data modeling and governance.
  • Familiarity with data visualization tools (e.g., Tableau, Power BI, Looker) to support downstream analytics.
  • Knowledge of modern data stack tools (e.g., dbt, Airflow, Fivetran) is preferred.
  • Conceptual understanding of CRM development, data architecture, and integration strategies.

    • Benefits

  • Competitive Compensation in Base and Bonus Potential
  • Comprehensive Health Benefits (Medical, Dental & Vision)
  • Paid Time Off in addition to Company Paid Holidays
  • 401(k) Retirement Plan with Company Match
  • Company-Paid Life Insurance
  • Pathways to Advancement
  • Free Weekly Car Washes

    • Our employees are our most valuable asset. We only employ the best people in the service industry who embrace new challenges with enthusiasm. If you are looking for professional development with advancement opportunities in a fast-growing organization, come join our Team!

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