Senior Data Engineer

Preferred Location is Southlake, TX / Secondary work location is Austin, TX

In this role you will be contracted to build and maintain scalable data pipelines on Google Cloud Platform (GCP) to serve our fraud data mart customers. You will work closely with cross-functional teams to ensure data integrity, reliability, and scalability. Your expertise in Google Big Query, Google Cloud Storage, Dataflow, Cloud Composer, Python, and SQL will be crucial in developing effective data solutions that support our fraud data analytics and reporting efforts.

• Design, build, and maintain scalable data pipelines using Google Cloud Platform tools such as Big Query, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow) and Pub/Sub.
• Write high-performance, production-grade Python and SQL, optimizing queries to support data extraction, transformation, and loading (ETL) processes.
• Implement complex data models in Big Query, utilizing partitioning, clustering, and materialized views for optimal performance.
• Collaborate with cross-functional teams, including business customers, Subject Matter Experts, to understand data requirements and deliver effective solutions.
• Implement best practices for data quality, data governance and data security.
• Monitor and troubleshoot data pipeline issues, ensuring high availability and performance.
• Contribute to data architecture decisions to provide recommendations for improving the data pipeline.
• Stay up to date with emerging trends and technologies in cloud-based data engineering and cyber security.
• Exceptional communication skills, including the ability to gather relevant data and information, actively listen, dialogue freely, and verbalize ideas effectively.
• Ability to work in an Agile work environment to deliver incremental value to customers by managing and prioritizing tasks.
• Proactively lead investigation and resolution efforts when data issues are identified taking ownership to resolve them in a timely manner.
• Ability to interoperate and document processes and procedures for producing metrics.

• Bachelor’s or Master’s degree in computer science, Information Systems, Engineering, or related field.
• 8+ years of hands‑on experience with data management in gathering data from multiple sources and consolidating them into a single centralized location. Transforming the data with business logic in a consumable manner for visualization and data analysis.
• Strong expertise in Google Big Query, Google Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related Google Cloud Platform (GCP) services.
• Proficiency in Python and SQL for data processing and automation.
• Experience with ETL processes and data pipeline design.
• Excellent problem‑solving skills and attention to detail.
• Strong communication and collaboration.

• Deep expertise in real‑time processing using Kafka or Pub/Sub
• Experience with Power BI development and visualization
• Experience with modern data stack such as Snowflake, Databricks (though GCP is our focus)
• Knowledge of Dev Ops practices and tools such as Terraform.
• Familiarity with data visualization tools such as Tableau, Grafana, and/or Looker.
• Google Professional Data Engineer certification is a plus
• Demonstrated Fraud and Financial Crime domain knowledge will be beneficial.

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.