Data Engineers (with a Cyber Security)/Fully Remote/Only on W2 role id-5086

by

Job Opportunity: Data & Automation Engineer at Client***Bank

About ClientBank**

Client**Bank is a premier financial services institution with a strong reputation for customer satisfaction, profitability, and security. Originating in North Carolina, the bank recently merged with CIT and Silicon Valley Bank, becoming one of the top 20 largest financial services companies in the country, boasting assets exceeding $100 billion. The company is recognized for its technical expertise and stability, with all IT operations based in the Raleigh-Durham area.

Project Overview

Within the Enterprise Cyber Security Organization, a new team has been formed to provide a strategic perspective on data across all security tools, platforms, and domains. The team aims to enhance automation, create key metrics, and develop integration/collaboration frameworks for data processing. This involves working with a new platform requiring significant architectural changes. The team is seeking two Data & Automation Engineers to help build and scale data engineering pipelines while supporting the development of the platform.

Role Overview

Other Jobs You May Be Interested In

One engineer will primarily focus on hands-on development of data engineering pipelines. The second engineer will split their role 75% in hands-on development and 25% in architecture, collaborating with senior architects and guiding junior team members. This role is integral to the continued growth and evolution of the platform, requiring a balance of technical expertise, leadership, and strategic thinking.

Key Qualifications

  • Experience:
    • 5+ years in building data engineering pipelines on both on-premise and cloud platforms (Snowflake, Databricks)
    • Strong coding skills in Python, PySpark, SQL, with a focus on automation
    • 3+ years using data warehousing/data lake techniques in cloud environments
    • Experience with ELT/ETL tools (e.g., dbt, Airflow, Cribl, Glue, FiveTran, AirByte)
    • 3+ years in developing data visualizations using tools like Tableau, Plotly, or Streamlit
    • Expertise in capturing incremental data changes and stream processing
  • Knowledge:
    • Familiarity with Cybersecurity, IT infrastructure, and software concepts
    • Experience in IT Asset Management, ITIL, and ITSM practices is a plus
    • Solid understanding of data governance, data structures, and metadata management
  • Technical Skills:
    • Experience in data science, engineering methodologies, and data storytelling
    • Ability to work with both structured and unstructured data

Responsibilities

  • Data Engineering:
    • Design, build, and optimize data pipelines using Python, PySpark, SQL, Spark, and other technologies
    • Work with various stakeholders to understand business requirements and system constraints
    • Ensure the organization and transformation of data from multiple sources for analysis
    • Contribute to the data curation process, feeding data into catalogs and knowledge bases
  • Collaboration and Leadership:
    • Support data scientists and analytics teams by developing tools and automations that streamline data usage and analysis
    • Engage with senior architects to define and refine system architecture
    • Guide junior team members and offer strategic input into data integration efforts
  • Data Analysis and Communication:
    • Use data science and statistical techniques to derive insights and create data visualizations
    • Present findings through clear, actionable data stories, using tools like PowerPoint and written reports
    • Manage technical and business documentation related to data efforts

Ideal Candidate Profile

  • A strategic thinker with strong technical expertise in data engineering and automation
  • Experience in both hands-on development and architectural planning
  • A collaborative leader capable of guiding a growing team and driving innovation
  • Strong communication skills, capable of telling compelling data stories and conveying technical concepts to non-technical stakeholders

This is an exciting opportunity to join a dynamic team in a rapidly evolving platform at a leading financial institution. If you are passionate about data engineering and cybersecurity, and thrive in a collaborative, fast-paced environment, we encourage you to apply.

Data Engineers (with a Cyber Security)/Fully Remote/Only on W2 role id-5086

Leave a Comment