Senior Lead Data Engineer

Build enterprise-grade streaming solutions in a role centered on scalable, low-latency platforms and reliable analytics pipelines. This onsite Senior Lead Data Engineering position in Plano, TX pairs hands-on platform work with team leadership, best-practice ownership, and close collaboration with engineering and cross-functional partners including Cyber & Security
.

Compensation for this role is $209,000 - $238,500 per year
, with performance-based incentive compensation that may include cash bonus(es) and/or long-term incentives (LTI). You’ll also receive a comprehensive, competitive, and inclusive benefits package designed to support your total well-being.

• Lead the design and build of an enterprise-level streaming data platform that is scalable
  , low-latency
  , and fault-tolerant to deliver timely insights
• Develop next-generation distributed streaming data pipelines and analytics data stores using streaming frameworks such as Flink and Spark Streaming
  , with languages including Java
  , Scala
  , and Python
• Lead engineering efforts building data pipelines on medium to large scale datasets using big data technologies such as Spark
  , Flink
  , Kafka
  , Snowflake
  , AWS Big Data Services
  , and Redshift
• Set and influence best practices for data pipeline design,
  data architecture
  , and processing for both structured and unstructured data
• Work in a creative, collaborative environment using Agile methodologies with a focus on CI/CD and application resiliency standards
  , partnering with Cyber & Security teams
• Collaborate with Agile teams to design, develop, test, implement, and support full-stack technical solutions across the toolchain
• Lead developers with experience spanning machine learning
  , distributed microservices
  , and full stack systems
• Use programming languages such as Java
  , Scala
  , and Python
  , along with open source relational and No
  
  SQL systems and cloud data warehousing services including Redshift and Snowflake
• Stay current with technology trends by experimenting, learning new tools, contributing to internal and external communities, and mentoring engineering peers
• Partner with digital product managers to deliver robust cloud-based solutions that support experiences for millions of Americans working toward financial empowerment
• Perform unit tests and conduct code reviews to ensure code is rigorously designed, elegantly written, and tuned for performance

• Bachelor’s Degree
• At least 6 years of experience in application development (internship experience does not apply)
• At least 2 years of experience in big data technologies
• At least 1 year of experience with cloud computing (
  AWS
  , Microsoft Azure
  , or Google Cloud
  )
• Master’s Degree
• 9+ years of application development experience including Python
  , SQL
  , Scala
  , or Java
• 4+ years of experience with a public cloud (
  AWS
  , Microsoft Azure
  , Google Cloud
  )
• 5+ years experience with distributed data or computing tools (
  Map Reduce
  , Hadoop
  , Hive
  , EMR
  , Kafka
  , Spark
  , Gurobi
  , or MySQL
  )
• 4+ years of experience working on real-time data and streaming applications
• 4+ years of experience with No
  
  SQL implementation (
  Mongo
  , Cassandra
  )
• 4+ years of data warehousing experience (
  Redshift or Snowflake
  )
• 4+ years of experience with UNIX/Linux including basic commands and shell scripting
• 2+ years of experience with Agile engineering practices
• Experience leveraging interactive AI tooling to accelerate productivity, using capabilities beyond basic code completion

• Flink, Spark Streaming
• Java, Scala, Python
• Spark, Kafka
• Snowflake, AWS Big Data Services, Redshift
• Open Source RDBMS, No
  
  SQL databases, Mongo, Cassandra
• Map Reduce, Hadoop, Hive, EMR, Gurobi, MySQL
• UNIX/Linux, shell scripting
• Agile methodologies, CI/CD
• SQL, AWS, Microsoft Azure, Google Cloud
• Linux