Mod Op-posted 3 months ago
Full-time • Entry Level
Dallas, TX
101-250 employees

Mod Op is a full-service advertising agency with offices across several US locations, Panama City, Panama, and Canada. With continued growth and a dynamic leadership team, we offer a generous time-off package, access to high-quality healthcare options, and a collaborative team dedicated to career and personal development. We believe in teamwork, client collaboration, storytelling, stunning design, and solving complex problems with innovative solutions. We are a 360° agency providing strategy, design, and production across all channels, with clients representing a variety of industries, offering diverse and exciting challenges. We are committed to working smart and enjoying the work we do. As a Data Engineer with (1-2) years of experience, you will be responsible for designing and implementing robust data pipelines, optimizing data workflows, and supporting analytics initiatives. You will work with AWS and GCP cloud services, integrate with CRM and marketing platforms, and enable data-driven decision-making through visualization tools like Google Looker and Tableau.

  • Design, develop, and maintain scalable ETL/ELT pipelines in GCP, Azure & AWS using various services including Data Flow, Composer, Azure Synapse, AWS Data Pipelines.
  • Work with structured and unstructured data sources, including CRM and marketing data platforms.
  • Develop and optimize queries for SQL & NoSQL databases (Teradata, BigQuery, Cassandra, etc.).
  • Implement Models using GCP Vertex ai and utilizing Python and its data science libraries (Pandas, NumPy, Scikit-learn, etc.) for data analysis and ML model deployment.
  • Build and manage dashboards using Google Looker and Tableau to provide business insights.
  • Work closely with data analysts, marketing teams, and other stakeholders to understand business needs and implement effective data solutions.
  • GCP or AWS (Data Engineering or ML focus) experience.
  • Strong proficiency in Python and experience with its data science libraries.
  • Experience with SQL (Teradata, BigQuery, etc.) and NoSQL databases.
  • Hands-on experience with Google Looker and Tableau for reporting and dashboards.
  • Experience working with CRM, marketing platforms, and analytics tools.
  • Knowledge of working GCP/Azure/AWS Services with ML workflows, model training, AI Models and deployment.
  • Knowledge with Alteryx for workflow automation and data preparation.
  • Experience with data warehousing solutions (Snowflake, Redshift, etc.).
  • GCP Certified focused on Data Engineering.
  • Exposure to Apache Spark, Airflow, or other data orchestration tools.
  • Strong understanding of data governance, security, and compliance.
  • Health and Life Insurance for employees and family.
  • Access to Vision benefits.
  • Telemedicine services.
  • Psychology support and others.
  • On the job training and career growth opportunities.
  • Access to LinkedIn courses.
  • Fully remote job.
  • Talented team environment, collaborative offices, fun company culture with a great balance of work and play.
  • Vacations are granted by day or weeks according to employee approved request.
  • Salary with yearly review and competitive benefits.
  • Competitive compensation based on experience and skill set.
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