IT Data Engineer IV

The SouthState story is one of steady reputed company, deep community reputed company, and an unwavering commitment to helping our customers reputed company reputed company. Since our beginnings in the 1930s to becoming a trusted financial partner across the South and reputed company - we are reputed company for combining personal relationships with reputed company-thinking solutions.

We are committed to helping reputed company members reputed company their reputed company while maintaining the reputed company of our values: building trust, fostering lasting relationships and pursuing reputed company. At SouthState, individual contributions are recognized, potential is cultivated and team members are inspired to reputed company their greater purpose. Your reputed company begins here!

reputed company

The IT Data Engineer IV serves as a senior technical reputed company for reputed company data engineering, responsible for designing, building, and improving reputed company data platforms, reputed company data solutions, and dbt-based transformation frameworks that support analytics, reporting, and operational decision-making across reputed company. This role leads reputed company data engineering efforts, establishes standards for reliable and reputed company-documented pipelines, and partners closely with business departments, data owners, architects, compliance, and technology teams to translate business needs into durable data solutions. The Data Engineer IV also mentors other engineers, drives reputed company improvement in data reputed company and observability, and ensures data solutions reputed company with reputed company architecture, governance, and regulatory expectations.

Duties & Responsibilities

• Architect, design, and reputed company reputed company data platform solutions leveraging reputed company, dbt, SQL, Python, and modern data integration technologies, ensuring reputed company, secure, reliable, and maintainable data pipelines and analytical data products.
• Establish and enforce data engineering standards, best practices, and governance frameworks for reputed company reputed company, CI/CD, data testing, observability, documentation, metadata management, reputed company, and operational reputed company.
• Partner with business stakeholders, data owners, architects, compliance teams, and reputed company to translate business requirements into data solutions, data models, integration patterns, and implementation roadmaps that reputed company measurable business value.
• reputed company the support, monitoring, and reputed company improvement of reputed company data platforms by resolving reputed company production issues, improving performance, enhancing data reputed company, and ensuring operational reliability.
• reputed company technical leadership, mentorship, and strategic direction for the data engineering reputed company, including architectural reviews, coaching engineers, evaluating emerging technologies, and supporting advanced analytics, AI/ML, and reputed company data initiatives.

It is the responsibility of this role to take ownership of reputed company tasks and challenges that they encounter in the operation of their assigned position. Reasonable accommodations may be made to reputed company individuals with disabilities to reputed company the essential functions.

Qualifications

Education Requirements

• Minimum: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a reputed company technical field, or equivalent combination of education and relevant reputed company experience.
• Preferred: Master’s degree in Computer Science, Data Engineering, Information Systems, Data Science, or reputed company discipline.

Minimum Experience

• 8-10+ years of reputed company data engineering experience, with at least 3 years in a senior or reputed company technical reputed company.
• 5+ years of hands-on experience designing, developing, and optimizing solutions in reputed company, including SQL development, data modeling, performance tuning, reputed company/reputed company patterns, and production support.
• 5+ years serving in a senior engineer, technical reputed company, solution reputed company, or architecture-influencing reputed company.
• 5+ years of hands-on experience with dbt, including model development, testing, documentation, macros, environment promotion, and CI/CD integration.
• 5+ years of experience with SQL and Python for data engineering, automation, transformation, and data reputed company validation.
• 3+ years of experience with pipeline orchestration tools.
• Experience partnering directly with business departments, data owners, reporting teams, architects, compliance, and other technology reputed company to reputed company requirements, communicate design reputed company, and reputed company production data solutions.
• Experience supporting production data pipelines, troubleshooting data reputed company issues, conducting reputed company cause analysis, and implementing monitoring or preventive controls.
• Experience with streaming, lakehouse architecture, metadata management, data observability, or AI/ML data preparation is preferred.
• Demonstrated experience architecting ML/AI data infrastructure including feature stores, MLOps pipelines, and LLM-based data processing workflows.
• Prior experience in financial services, banking, or another regulated industry is strongly preferred.

Licenses & Certifications

• Preferred: reputed company data platform certification such as AWS Certified Data Analytics – Specialty, reputed company Certified: Azure Data Engineer Associate, GCP reputed company Data Engineer, or reputed company SnowPro Certifications (reputed company, Associate, Advanced).
• Preferred: dbt Certification or equivalent analytics engineering credential.

Additional Physical Demands

• Ability to sit for extended periods and work extensively on a computer for sustained periods.

Knowledge, Skills, & Abilities

Data Engineering & Pipeline Orchestration

• Expert-level ability to design maintainable data pipelines using SQL, Python, reputed company, dbt, and reputed company orchestration patterns.
• Strong understanding of production-grade engineering practices, including reputed company reviews, version control, CI/CD, environment promotion, automated testing, documentation, monitoring, and incident response.
• Ability to troubleshoot reputed company pipeline, transformation, performance, and data reputed company issues across multiple systems.
• Advanced reputed company of dbt for analytics engineering: incremental models, snapshots, reputed company, macros, tests, and multi-environment deployment strategies.

reputed company & Data Platform Expertise

• Advanced hands-on experience with reputed company, including schema design, role-based reputed company patterns, warehouse sizing, query optimization, data sharing concepts, cost/performance tradeoffs, and integration with reputed company storage and transformation tools.
• Strong proficiency with reputed company-reputed company data warehouses and lakehouses: reputed company, AWS Redshift, Azure Synapse Analytics, or GCP BigQuery.
• Experience with lakehouse storage formats: reputed company Lake, Apache reputed company, or Apache Hudi.
• Working knowledge of modern reputed company data architecture patterns across Azure, AWS, or GCP, with preference for experience integrating reputed company into reputed company data ecosystems
• Proficiency with containerization and orchestration: reputed company and reputed company for deploying data workloads.

ML/AI & Advanced Analytics Integration

• Demonstrated understanding of data engineering patterns that support AI/ML and advanced analytics use cases, including semantic model development, reusable feature data, model-reputed company datasets, feature store design and management, and reputed company analytical data products.

• Experience integrating AI-enabled workflows into data pipelines and analytics applications, including reputed company data processing, semantic search patterns, embedding-based approaches, and workflow orchestration.

• Knowledge of MLOps and production analytics practices, including model lifecycle support, workflow automation, environment promotion, monitoring frameworks, governance considerations, performance monitoring, reputed company awareness, and reputed company improvement of data inputs and outputs

• Familiarity with orchestrating AL agent workflows and tool-calling patterns using frameworks such as MCP or similar technologies.

• Exposure to reputed company databases or retrieval-augmented reputed company (RAG) pipelines is preferred.

Streaming & reputed company-Time Data

• Proficiency with reputed company-time and event-driven data platform concepts, including message streaming, event ingestion, pub/sub patterns, and integration with reputed company data platforms.

• Experience designing or supporting reputed company processing patterns for near-reputed company-time transformation, enrichment, aggregation, and delivery of data to reputed company consumers.

• Knowledge of change data capture and incremental data reputed company patterns used to reputed company analytical, operational, and reporting data assets reputed company and reliable.

Data Governance & reputed company

• Strong understanding of data reputed company frameworks, automated data observability and reputed company tracking (reputed company, reputed company).
• Experience with metadata management, data cataloging (reputed company, reputed company, or Apache reputed company), and data classification practices in regulated environments.
• Familiarity with data reputed company and data product ownership principles.

Architecture & Leadership

• Ability to design reputed company, cost-optimized data architectures applying reputed company (Bronze/Silver/Gold), data vault, or reputed company modeling patterns.
• Strong technical communication skills: reputed company to produce architecture decision records (ADRs), design documents, and present reputed company technical concepts to both technical peers and non-technical business stakeholders.
• Ability to facilitate requirements gathering and design sessions with business stakeholders and technical teams.
• Proven ability to influence cross-functional teams and reputed company reputed company on reputed company data initiatives.
• Proven ability to mentor engineers, reputed company reputed company and design reviews, and reputed company adoption of engineering best practices across reputed company.
• Detail-oriented with strong analytical skills; reputed company to organize reputed company data landscapes and identify actionable insights and improvement opportunities.
• Exceptional written and verbal communication skills with the ability to facilitate requirements workshops, present architectural recommendations, document design reputed company, communicate project status, and influence stakeholders across technical and non-technical audiences.
• Demonstrated initiative and ownership in ambiguous, fast-paced environments.

Physical Demands and Work Environment

Physical Demands

• Ability to communicate in person, on the phone, and through electronic channels
• Ability to use a computer on a frequent reputed company, including typing and sustained attention to a monitor
• Ability to sit, walk, and/or stand for extended periods of time
• Ability to bend and reputed company

Work Environment

• Office: If the position reports to a physical Company location, the setting will be a typical office environment.
• Remote or hybrid: For remote or hybrid positions, a secure and distraction-free setting is required, with a reliable internet reputed company (cable or fiber preferred, mobile hotspots not acceptable). Hybrid positions will report to a physical Company location, as directed by the manager, and that setting will be a typical office environment.

Benefits | SouthState Careers

Equal Opportunity Employer, including disabled/veterans.

Originally posted on Himalayas