IT Data Engineer IV

🕒 August 18

🏈 Alabama, Colorado, +5 more states – Remote

🏈 Alabama – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌲 North Carolina – Remote 🌴 South Carolina – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $87.3k - $139.4k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SouthState Bank

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏦 Banking

💸 Finance

💳 Fintech

Banking • Finance • Fintech

SouthState Bank is a financial institution that offers a wide range of banking products and services. It provides personal banking solutions such as checking and savings accounts, credit cards, and online and mobile banking. The bank also offers borrowing options including personal loans, mortgages, and home equity lines of credit. Additionally, SouthState Bank provides investment services like financial and retirement planning. For businesses, it offers small business and commercial banking services, including loans, lines of credit, and cash flow management. They also provide wealth management services for personal and corporate clients.

📋 Description

• Serve as a senior technical lead for enterprise data engineering • Design, build, and improve scalable data platforms, Snowflake solutions, and dbt transformation frameworks • Deliver secure, reliable, maintainable data pipelines and analytical data products • Establish and enforce standards for code quality, CI/CD, testing, observability, documentation, metadata, security, and operational excellence • Partner with business stakeholders, data owners, architects, compliance teams, and technology partners to translate requirements into data solutions and roadmaps • Support, monitor, troubleshoot, and continuously improve enterprise data platforms • Resolve complex production issues, improve performance, enhance data quality, and ensure operational reliability • Provide technical leadership, mentorship, architectural reviews, coaching, and strategic direction • Evaluate emerging technologies and support advanced analytics, AI/ML, and enterprise data initiatives

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field, or equivalent combination of education and relevant professional experience • 8-10+ years of progressive data engineering experience, with at least 3 years in a senior or lead technical capacity • 5+ years of hands-on experience designing, developing, and optimizing solutions in Snowflake • 5+ years serving in a senior engineer, technical lead, solution lead, or architecture-influencing capacity • 5+ years of hands-on experience with dbt • 5+ years of experience with SQL and Python • 3+ years of experience with pipeline orchestration tools • Experience partnering with business departments, data owners, reporting teams, architects, compliance, and technology groups • Experience supporting production data pipelines, troubleshooting data quality issues, root cause analysis, and monitoring or preventive controls • Demonstrated experience architecting ML/AI data infrastructure including feature stores, MLOps pipelines, and LLM-based data processing workflows • Ability to design maintainable data pipelines using SQL, Python, Snowflake, dbt, and enterprise orchestration patterns • Advanced hands-on experience with Snowflake and cloud-native data warehouses/lakehouses • Experience with Delta Lake, Apache Iceberg, or Apache Hudi • Proficiency with Docker and Kubernetes • Understanding of AI/ML data engineering, semantic models, feature stores, MLOps, semantic search, embeddings, and workflow orchestration • Proficiency with real-time and event-driven data platform concepts • Experience with stream processing and change data capture • Strong understanding of data quality frameworks, observability, lineage tracking, metadata management, data cataloging, and data classification • Ability to design scalable, cost-optimized architectures using medallion, data vault, or dimensional modeling patterns • Ability to produce ADRs and design documents and communicate technical concepts to technical and non-technical stakeholders • Ability to facilitate requirements gathering and design sessions • Proven ability to influence cross-functional teams, mentor engineers, lead code and design reviews, and drive best practices • Ability to communicate in person, by phone, and through electronic channels • Ability to use a computer frequently and sit, walk, and/or stand for extended periods

🏖️ Benefits

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions • Secure and distraction-free remote or hybrid work setting with reliable internet connection (cable or fiber preferred)