Lead Data Engineer

Base pay range: $/yr - $/yr

Location:

Dallas, TX

• Collaborate with Agile teams to design, develop, test, and implement full‑stack solutions using modern tools and technologies.
• Work on projects involving machine learning, distributed microservices, and large‑scale data systems.
• Build and optimize data pipelines using Java, Scala, Python, and leverage RDBMS, No
  
  SQL databases, and cloud‑based data warehousing tools like Redshift and Snowflake.
• Stay ahead of technology trends, experiment with new tools, and mentor engineering peers.
• Partner with product managers to deliver robust, cloud‑native solutions that create impactful user experiences.
• Perform unit testing and peer reviews to ensure high‑quality, performant code.

• Bachelor’s degree in a relevant field.
• 4+ years of experience in application development.
• 2+ years of experience with big data technologies.
• 1+ year of experience with cloud platforms (AWS, Azure, or GCP).

• 7+ years of experience in application development (Python, SQL, Scala, or Java).
• 4+ years of experience with public cloud services.
• 4+ years working with distributed computing tools (Hadoop, Spark, Hive, Kafka, EMR, etc.).
• 4+ years building real‑time data and streaming applications.
• 4+ years with No
  
  SQL databases (Mongo
  
  DB, Cassandra).
• 4+ years of data warehousing experience (Redshift, Snowflake).
• Strong UNIX/Linux skills including shell scripting.
• 2+ years of experience with Agile practices.

• Mid‑Senior level

• Full‑time

• Information Technology

• Financial Services and Banking