Data Engineers (with a Cyber Security)/Fully Remote/Only on W2 role ID-3295

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Job Description: data engineers (with a cyber security)

Location: Fully-Remote

Duration: Long-term contract

Description

Client***Bank is one of the top financial services providers in the nation, recognized and awarded for their customer satisfaction, sustainable profitability, and overall stability and security. Originating in North Carolina, they continue to hold all of their IT in the Raleigh-Durham area and have a great reputation for their technical diversity and excellence. They recently went through a merger with CIT and Silicon Valley Bank, becoming one of the top 20 largest financial services companies in the nation, at over $100 billion in assets, achieving status as a Category 4 Bank.

Project Story:

 

This team within the Enterprise Cyber Security Organization was formed due to the need to create a strategic view on data across all security tools, platforms and domains, allowing the organization to look at the data strategically, deliver metrics, create automation and build necessary data planes for integration/collaboration. They are presently working in a new platform that requires changes architecturally, and they need two Data & Automation Engineers to join their team as they continue to grow this platform. One engineer will be hands on in building data engineering pipelines, the other will be 75% hands on, and 25% focused on architecture. This person will work with other senior architects, and must have enough expertise to help less senior team members, pushback when needed, etc.

Qualifications

• 5+ years of experience in building data engineering pipelines on both on-premise and cloud platforms (Snowflake, Databricks)

• Strong experience coding in Python, PySpark, SQL and building automations.

• Knowledge of Cybersecurity, IT infrastructure and Software concepts.

• Knowledge of IT Asset Management, ITIL, ITSM practices will be a plus.

• 3+ years of experience using data warehousing / data lake techniques in cloud environments.

• 3+ years of developing data visualizations using Tableau, Plotly, Streamlit

• Experience with ELT/ETL tools like dbt, Airflow, Cribl, Glue, FiveTran, AirByte, etc.

• Experience on capturing incremental data changes, streaming data ingestion and stream processing.

• Experience in processes supporting data governance, data structures, metadata management.

• Solid grasp of data and analytics concepts and methodologies including data science, data engineering, and data story-telling

Responsibilities

• Understand business requirements and existing system designs, security applications and guidelines, etc.

• Work with various SME’s in understanding business process flows, functional requirements specifications of existing system, their current challenges and constraints and future expectation.

• Streamline the process of sourcing, organizing data (from a wide variety of data sources using Python, PySpark, SQL, Spark) and accelerating data for analysis.

• Support the data curation process by feeding the data catalog and knowledge bases.

• Create data tools for analytics and data scientist team members that assist them in building and optimizing the data products for consumption.

• Work with data and analytics experts to strive for greater functionality in the data systems.

• Clearly articulate data stories using data science, advanced statistical analysis, visualization tools, PowerPoint presentations, written and oral communication.

• Manage technical, analytical, and business documentation on all data efforts.

• Engage in hands on development and work with both onsite and offsite leads and engineers.

Responsibilities

General Job Responsibilities:

  • Task Execution: Completing daily tasks and projects as assigned.
  • Collaboration: Working with team members and other departments to achieve goals.
  • Reporting: Documenting progress and reporting to supervisors or managers.
  • Problem-Solving: Addressing issues that arise and proposing solutions.

Sector-Specific Responsibilities:

  • IT: Developing software, managing networks, or providing technical support.
  • Finance: Analyzing financial data, preparing reports, and ensuring compliance.
  • Sales/Marketing: Engaging with customers, promoting products, and analyzing market trends.
  • Healthcare: Providing patient care, conducting research, or managing health services.

Benefits

  • Salary Packages: Competitive salaries vary by industry, role, and experience.
  • Health Insurance: Many employers offer medical coverage for employees and their dependents.
  • Annual Leave: Employees typically receive 10-15 days of annual leave, depending on company policy and tenure.
  • Retirement Benefits: Employees contribute to the Social Security System (SSS), providing savings for retirement.
  • Training and Development: Opportunities for professional development and skill enhancement.
  • Flexible Working Arrangements: Some companies offer remote work options or flexible hours.

Increment Process

  • Performance Reviews: Employees typically undergo annual performance evaluations to assess their contributions and achievements.
  • Salary Increments: Increments are often tied to performance reviews, market trends, and company profitability. Generally, increments can range from 5% to 15% based on performance.
  • Promotion Pathways: Employees demonstrating consistent performance may be considered for promotions, leading to higher salary increments and new responsibilities.
  • Market Adjustments: Companies may also conduct market salary surveys to adjust salaries in line with industry standards.