About The Position

The Data Engineer is responsible for designing, maintaining, and enhancing data pipelines and reporting solutions that enable accurate, timely, and trusted analytics across the organization. This role focuses on supporting operational and risk reporting needs while performing modifications to small and medium-sized databases. The position is structured to grow over time into larger-scale data engineering initiatives, including enterprise data integrations and complex data platforms.

Requirements

  • Bachelor’s degree and five years of experience in systems engineering or administration or an equivalent combination of education and work experience
  • In-depth knowledge in applied enterprise information security technologies including but not limited to firewalls, intrusion detection/prevention systems, network operating systems, identity management, database activity monitoring, encryption, content filtering, and Mainframe security
  • Previous experience in planning and managing IT projects

Nice To Haves

  • Familiarity with Identity and Access Management (IAM) data elements such as identities, entitlements, roles, authentication events, and access reviews.
  • Demonstrable Experience performing data completeness, accuracy, and reconciliation exercises across multiple systems.
  • Hands-on experience reaching out to technical teams to understand source system capabilities and ingest their data.
  • Working knowledge of relational databases and SQL for analysis, reporting, and data transformations.
  • Exposure to reporting and visualization tools and the ability to support both recurring and ad-hoc reporting needs.
  • Strong problem-solving skills with the ability to analyze data issues across systems and domains.
  • Clear written and verbal communication skills for technical and non-technical audiences.
  • Bachelor’s degree and ten years of experience or an equivalent combination of education and work experience.
  • Banking or financial services experience.
  • Other security certifications (e.g. CCNA Security, GSEC, GCED, GPPA, etc.)
  • Other technical Certifications (e.g. CCNA, RHCE, MCSE, etc.)
  • Certification in Information Security Management (e.g. Certified Information Systems Security Professional (CISSP), Certified in Risk and Information Systems Control (CRISC) or Certified Information Security Manager (CISM)), or related security certification(s)
  • Understanding of regulatory frameworks for financial institutions

Responsibilities

  • Design, develop, and maintain reporting datasets, views, and data marts to support operational, risk, and compliance reporting.
  • Hands-on experience with relational database technologies, including Microsoft SQL Server (MS SQL), to support data analysis, reporting, transformations, performance tuning, data quality improvement, and database maintenance.
  • Working knowledge of Python for data processing, scripting, automation, and validation tasks in support of reporting and data engineering objectives.
  • Experience working in Linux and Windows operating system environments, including supporting applications, scripts, and data workflows hosted on these platforms.
  • Experience designing, developing, or supporting reporting and data visualization solutions, including the use of Tableau for operational, risk, audit, or compliance reporting.
  • Partner with business and technical stakeholders to understand data requirements and translate them into effective data solutions.
  • Ingest data from disparate technical platforms through direct data access, file-based transfers, APIs, or database connections.
  • Execute data completeness and accuracy exercises to validate data integrity, identify gaps, and remediate data quality issues.
  • Develop repeatable processes and automation to support data validation, reconciliation, and reporting consistency.
  • Document data definitions, transformations, and lineage to ensure transparency and reuse across reporting solutions.
  • Support audit, risk, and governance initiatives by providing traceable and well-controlled data outputs.
  • Participate in incident response and root-cause analysis related to reporting or data quality issues.
  • Progressively take on larger and more complex data engineering initiatives as skills and experience mature.

Benefits

  • All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position.
  • Truist offers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates.
  • Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays.
  • Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.
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