V

VML

Global marketing automation, personalization, and CRM

Associate Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USANo salary listedIn-person

About the Job

Requirements

  • 0–2 years of experience, or a degree or bootcamp background, in data engineering, computer science, business intelligence, or a related quantitative field.
  • Foundational coding skills in Python, SQL, or Scala.
  • Understanding of core data transformation processes, including ETL and ELT, and relational databases.
  • Basic exposure to cloud platforms such as Google Cloud Platform, Amazon Web Services, or Microsoft Azure, and modern data stack tools such as dbt, Airflow, BigQuery, or Snowflake through projects, coursework, or internships.
  • Familiarity with version control tools such as GitHub or Git.
  • Basic understanding of data quality management principles, including cleansing, validation, and profiling.
  • Proficiency in English, written and verbal.

Responsibilities

  • Assist in identifying, collecting, and integrating data from various sources by building and maintaining reliable data pipelines and models for business intelligence and analytics.
  • Write clean SQL and code in Python, Spark, and related technologies to optimize data workflows under senior guidance.
  • Help monitor daily ETL flows and data quality tools.
  • Assist in troubleshooting, debugging, and resolving data pipeline incidents.
  • Collaborate with CRM developers, data scientists, data analysts, and product owners to deliver high-quality data.
  • Learn best practices in cloud data architecture, migrations, and data management.

About the Company

VML

Global marketing automation, personalization, and CRM

VML MAP is a global marketing services and technology partner that serves as a center of excellence for Marketing Automation, Personalization, Loyalty, Agentic AI, and CRM at scale. It helps brands humanize the relationship with customers by delivering data‑driven, personalized content across all channels and industries, leveraging a multi-disciplinary team across consulting, data & AI, content & creative, identity & 1to1, paid media, technology & platform, operating models & processes, and operations. The company operates from 14 offices worldwide, with a mission to scale efficient, measurable experiences that drive business success. Distinguishing factors include its global, diverse team; integration of marketing technology with AI capabilities; and a focus on end-to-end, interoperable solutions rather than isolated campaigns.

Company size
501-1,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Kansas City, MO
Founded
1992

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