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Data Engineer III

Dallas, TX

We are PMG

Named Ad Age Best Places to Work for 9 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG utilizes business strategy and transformation, creative, media, and insights—as well as its proprietary marketing intelligence platform, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Best Western Hotels & Resorts, CKE Restaurants, Experian, Intuit, Kohler, Nike, Sephora, Therabody, and Whole Foods spans 85+ countries.

Who We Are

At PMG, we’re a team that’s passionate about turning data into meaningful insights that drive real results for global brands. As a Data Engineer III, you’ll play a key role in shaping how we collect, transform, and store data to meet dynamic business needs. Your work will directly impact decision-making and empower teams with the tools and insights they need to succeed.

We’re looking for someone with a strong foundation in data warehousing and modeling, expertise in dbt, and a collaborative approach to problem-solving. If you enjoy tackling complex challenges, staying ahead of data engineering trends, and working in an environment that values innovation and teamwork, we’d love to meet you.

What You’ll Be Doing

  • Develop and maintain complex data transformations and aggregations using SQL and dbt’s Jinja templating language.
  • Design and optimize data architectures to support analytics and business intelligence initiatives.
  • Build and maintain interactive Tableau dashboards, delivering data visualizations that drive actionable insights.
  • Collaborate with cross-functional teams to gather requirements, understand business challenges, and deliver tailored data solutions.
  • Ensure data quality, integrity, and security across platforms to meet internal stakeholder needs.
  • Build and maintain data warehouse systems, ensuring accessibility and usability for analytics teams.
  • Monitor and troubleshoot data workflows, ensuring high performance and reliability.
  • Work with both structured and unstructured data from various sources, making it accessible and meaningful.
  • Stay informed about the latest advancements in dbt, data engineering practices, and relevant technologies.

What You Will Bring

  • Bachelor’s degree in computer science, engineering, or a related field (or equivalent experience).
  • 3+ years of experience in data engineering, with a proven track record of building and optimizing data pipelines.
  • Proficiency in SQL, Python, and Jinja within a dbt environment to develop, optimize, and manage data workflows.
  • Experience with Tableau or other data visualization tools to create clear, actionable insights.
  • Hands-on experience with cloud platforms such as AWS/Redshift or Snowflake for scalable data solutions.
  • Strong understanding of database design, data warehousing principles, and ETL processes.
  • Familiarity with CI/CD pipelines and DevOps practices for efficient and reliable deployment workflows.
  • Knowledge of modern data engineering tools and frameworks, including Apache Spark, Airflow, or Kafka, to manage and process large datasets.
  • Excellent problem-solving skills and attention to detail, ensuring data accuracy and system reliability.
  • Strong communication and collaboration skills, with the ability to work across teams and functions to deliver impactful solutions.
  • Familiarity with the digital marketing industry and its unique data challenges.
  • Certifications in cloud platforms such as AWS Certified Data Analytics or Snowflake Certification.
  • Experience implementing data security best practices, including encryption and access controls.
  • A commitment to curiosity and adaptability as a continual learner, staying at the forefront of media innovation while prioritizing client success with a customer-focused mindset that seeks opportunities to deliver meaningful value.
  • A dedication to people-focused leadership, fostering collaboration, innovation, and professional growth by leading by example and nurturing strong relationships that empower others to excel.

What We Offer

  • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support.
  • Generous PTO: Benefit from our generous paid time off policy to recharge and spend time with loved ones.
  • Parental Leave: We provide paid parental leave to support your family during important life events.
  • Retirement Plans: Plan for your future with our competitive 401(k) matching program.
  • Fertility and Family Support: Access fertility benefits for all team members and their spouses.
  • Pet Insurance: Protect your pet's health and your finances.
  • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being.
  • Annual Bonus: All employees are eligible for an annual bonus.
  • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities.
  • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety.

What Sets Us Apart

Being part of PMG means joining a company culture that’s unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way.

In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

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