Data Engineer - VP

Citi-posted 4 months ago
$125,600 - $188,400/Yr
Full-time • Senior
Tampa, FL
5,001-10,000 employees
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We are looking for a hands-on Data Engineer who is passionate about solving business problems through innovation and engineering practices. As a Data Engineer, you will leverage your deep technical knowledge to drive the creation of high-quality software products. You will also be expected to share your technical expertise and promote a culture of technical excellence within the team. The Data Engineer will work with a Team Lead and will be a code-contributing member of the team that will deliver solutions against the sprint-level commitments.

  • Code contributing member of an Agile team, working to deliver sprint goals.
  • Demonstrating technical knowledge and expertise in software development, including programming languages, frameworks, and best practices.
  • Actively contributes to the implementation of features and technical solutions.
  • Write clean, efficient, and maintainable code that meets the highest standards of quality.
  • Collaborate with other Engineers to define and evolve the overall system architecture and design.
  • Provide guidance on scalable, robust, and efficient solutions that align with business requirements and industry best practices.
  • Offer expert engineering guidance and support to multiple teams, helping them overcome technical challenges, make informed decisions, and deliver high-quality software solutions.
  • Foster a culture of technical excellence and continuous improvement.
  • Stay up to date with emerging technologies, tools, and industry trends. Evaluate their potential impact on the organization and provide recommendations for technology adoption and innovation.
  • 8+ years’ experience of implementing data-intensive solutions using agile methodologies.
  • Proficient in one or more programming languages commonly used in data engineering such as Python, Java, or Scala.
  • Multiple years of experience with software engineering best practices (unit testing, automation, design patterns, peer review, etc.)
  • Multiple years of experience with Hadoop for data storage and processing is valuable, as is exposure to modern data platforms such as Snowflake and Databricks.
  • Multiple years of experience with Cloud-native development and Container Orchestration tools (Serverless, Docker, Kubernetes, OpenShift, etc.).
  • Multiple years of experience with open-source data engineering tools and frameworks (e.g. Spark, Kafka, Beam, Flink, Trino, Airflow, DBT)
  • Exposure to a range of table and file formats including Iceberg, Hive, Avro, Parquet and JSON.
  • Multiple years of experience architecting and building horizontally scalable, highly available, highly resilient, and low latency applications.
  • Strong proficiency in working with relational databases and using SQL for data querying, transformation, and manipulation.
  • Clear understanding of Data Structures and Object Oriented Principles.
  • Experience of modelling data for analytical consumers.
  • Ability to automate and streamline the build, test and deployment of data pipelines.
  • Proven experience of providing technical vision and guidance to a data team.
  • Thrives in a dynamic environment, capable of managing multiple tasks simultaneously while maintaining a high standard of work.
  • BA/BS degree or equivalent work experience.
  • Experience with Data Transformation tools like Ab Initio a plus.
  • Appreciation of data parallelism, associated partitioning strategies and an understanding of key components in the GDE is particularly relevant.
  • Experience in cloud native technologies and patterns (AWS, Google Cloud).
  • Exposure to Infrastructure as Code tools (i.e., Terraform, Cloudformation, etc.).
  • Experience of driving and/or influencing the data strategy of your team or organization.
  • medical, dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
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