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Senior Database Engineer Jobs in Lancaster, SC (NOW HIRING)

Mondo

Sr. OroCommerce Developer

Charlotte, NC · Remote

$58 - $60/hr

Job Title: Sr. OroCommerce Full Stack Developer Location-Type: Remote (EST hours required) Start ... Design and optimize database schemas to maintain data integrity and performance. Collaborate cross ...

1 point system

QA Engineer (Data)

Fort Mill, SC · Remote

$30/hr

Results-driven Senior QA Engineer with 6 to 8+ years of experience specializing in ETL testing, Big ... Strong background in automation testing (UI, API), database testing, and data integrity validation ...

Calance US

Azure AI Engineer- onsite

Charlotte, NC

As a senior technical resource with expertise in AI architectures, MLOps, and orchestration ... vector databases. MLOps & DevOps: Demonstrated experience with model lifecycle management, CI/CD ...

LPL Financial

AVP, Software Engineering

Fort Mill, SC · On-site +1

$154K - $257K/yr

... databases * Experience designing and delivering solutions in cloud or hybridcloud environments ... Cloud development or engineering certification (AWS preferred) * Experience working in Agile ...

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All JobsDatabase Engineer JobsSenior Database Engineer JobsSenior Database Engineer Jobs in Lancaster, SC

Senior Database Engineer information

See Lancaster, SC salary details

$69.1K

$107.7K

$149.3K

How much do senior database engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for senior database engineer in Lancaster, SC is $107,741.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $122,800.00 per year, depending on experience, location, and employer.

What are some common challenges senior database engineers face when managing large-scale databases, and how are they typically addressed?

Senior Database Engineers often encounter challenges such as ensuring database performance under heavy loads, maintaining data integrity during migrations, and optimizing queries for efficiency. Addressing these issues usually involves proactive monitoring, implementing indexing strategies, and collaborating closely with development teams to design scalable database schemas. Regularly updating skills to keep up with new database technologies and security best practices is also essential for tackling these challenges effectively.

What is the difference between Senior Database Engineer vs Database Administrator?

AspectSenior Database EngineerDatabase Administrator
Primary FocusDesigning, developing, and optimizing database systemsMaintaining, backing up, and securing databases
Skills & CertificationsSQL, database architecture, performance tuning, certifications like Oracle or Microsoft SQL ServerDatabase management, backup/recovery, security, certifications like Oracle DBA or Microsoft Certified Database Administrator
Work EnvironmentDevelopment teams, data engineering projects, system designOperational teams, system maintenance, troubleshooting
Industry UsageUsed across tech, finance, healthcare for database developmentCommon in enterprise IT, government, and large organizations for database upkeep

While both roles work closely with databases, a Senior Database Engineer primarily focuses on designing and optimizing database systems, whereas a Database Administrator handles daily maintenance, security, and backups. The roles complement each other but differ in scope and responsibilities.

What are the key skills and qualifications needed to thrive as a senior database engineer, and why are they important?

A Senior Database Engineer needs advanced knowledge of database architecture, SQL, performance tuning, and a degree in computer science or a related field. Expertise in tools like Oracle, MySQL, PostgreSQL, database clustering, and relevant certifications such as Microsoft Certified: Azure Database Administrator Associate are typical requirements. Strong problem-solving, analytical thinking, and effective communication skills help them excel in managing complex data environments and collaborating with development teams. These capabilities are crucial for ensuring robust, scalable, and secure data solutions that meet organizational needs.

What is a senior database engineer?

A Senior Database Engineer is an experienced IT professional responsible for designing, implementing, maintaining, and optimizing database systems within an organization. They ensure databases are secure, reliable, and perform efficiently to meet business needs. Senior Database Engineers often lead projects, mentor junior staff, and collaborate with developers and system administrators to support data-driven applications. Their expertise is crucial for data integrity, scalability, and disaster recovery planning.
What are popular job titles related to Senior Database Engineer jobs in Lancaster, SC? For Senior Database Engineer jobs in Lancaster, SC, the most frequently searched job titles are:
What cities near Lancaster, SC are hiring for Senior Database Engineer jobs? Cities near Lancaster, SC with the most Senior Database Engineer job openings:
Senior Database Engineer jobs near you

Sr AI Platform Engineer - Retrieval & Knowledge Systems

LPL Financial Holdings, Inc.

Fort Mill, SC • On-site

$115K - $191K/yr

Full-time

Medical, Retirement, PTO

Re-posted 8 days ago

LPL Financial rating

7.5

Company rating: 7.5 out of 10

Based on 70 frontline employees who took The Breakroom Quiz

116th of 150 rated financial services

Job description

Where Ambition Meets Innovation
Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you'll find the ingredients you need at LPL Financial to shape your success while helping clients pursue their financial goals.
Job Overview:
The Senior Engineer will design and build core AI knowledge infrastructure that powers intelligent applications across the enterprise.
This role focuses on distributed systems, retrieval architectures, and AI platform services, enabling applications and agents to discover, retrieve, and reason over large-scale enterprise data. You will work at the intersection of search, vector retrieval, LLMs, and real-time data systems, building high-performance platforms used by AI and application teams.
The ideal candidate is a strong backend/platform engineer with deep experience in building scalable systems and modern AI-powered retrieval architectures.
Responsibilities:
AI Retrieval & Search Platform
  • Design and build high-scale retrieval systems combining keyword search, semantic search, and vector-based retrieval.
  • Develop RAG (Retrieval-Augmented Generation) infrastructure including indexing, retrieval, ranking, and context assembly.
  • Build and optimize search indices, vector stores, and hybrid retrieval systems for relevance, latency, and scale.
  • Implement advanced ranking, relevance tuning, and personalization pipelines.

Data Pipelines & Indexing Systems
  • Build streaming and batch pipelines for ingesting and transforming structured and unstructured data.
  • Develop enrichment pipelines (chunking, embeddings, metadata extraction, classification).
  • Design systems for real-time indexing, incremental updates, and freshness guarantees.
  • Optimize data flow, storage, and compute efficiency at scale.

AI Platform Services & APIs
  • Build low-latency, highly available APIs that expose retrieval and knowledge services to applications and AI agents.
  • Develop reusable SDKs and service abstractions for easy integration into product teams.
  • Enable context retrieval, query understanding, and response augmentation for downstream AI systems.
  • Establish patterns for multi-tenant, scalable platform services.

LLM & Intelligent Systems Integration
  • Integrate LLMs with retrieval systems to enable grounded, context-aware experiences.
  • Build systems for context construction, prompt augmentation, and response orchestration.
  • Implement evaluation frameworks for relevance, grounding quality, and user experience.
  • Support use cases like AI assistants, copilots, search experiences, and automation agents.

Performance, Scalability & Reliability
  • Design for low-latency (<100ms retrieval), high-throughput, and horizontal scalability.
  • Implement caching, sharding, and distributed query execution strategies.
  • Build observability pipelines (metrics, logs, tracing) for system performance and usage insights.
  • Drive resiliency, fault tolerance, and system reliability at scale.

Technical Leadership
  • Lead design and architecture of large-scale AI platform components.
  • Mentor engineers on distributed systems, retrieval architectures, and AI engineering practices.
  • Drive adoption of modern engineering practices (CI/CD, infrastructure-as-code, automated testing).
  • Partner with AI, data, and product teams to shape next-gen intelligent platform capabilities.

What are we looking for?
We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.
Requirements:
  • Minimum of 8 years of experience in backend or platform engineering.
  • Experience building distributed systems, search platforms, or large-scale data services.
  • Hands-on experience with APIs, microservices, and cloud-native architectures.
  • Experience with search systems, indexing, or retrieval pipelines.
  • Experience programming skills in Java, Python, or Go.

Preferences:
  • Experience with cloud platforms and containerized environments (Kubernetes).
  • Experience with Elasticsearch/OpenSearch, vector databases, or hybrid retrieval architectures.
  • Familiarity with RAG systems, embeddings, and LLM integration patterns.
  • Experience building AI platforms, copilots, or agent-based systems.
  • Experience with real-time data systems (Kafka, streaming pipelines).
  • Strong understanding of performance optimization in distributed systems.

Pay Range:
$115,154.00 - $191,889.00
Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!
Company Overview:
LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.
At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.
For further information about LPL, please visit www.lpl.com.
Join the LPL team and help us make a difference by turning life's aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.
Information on Interviews:
LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum. During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant's bank or credit card. Should you have any questions regarding the application process, please contact LPL's Human Resources Solutions Center at (855) 575-6947.
EAC 5.19.26

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