Technology - Sr. Engineer

Apex Systems; Orlando (FL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

ESPP

401K with company match

HSA

Certification discounts

Career coaching

Job summary

Apex Systems is hiring a Senior Data Engineer to lead the design, development, and implementation of integrated data solutions powering analytics, reporting, and AI-driven experiences. You will build scalable data foundations and enable self-service through AI-powered applications, semantic search, and knowledge retrieval.

You will collaborate with cross-functional teams to architect an enterprise data ecosystem, ensure governance and security, and deliver data-driven insights for executive

Qualifications

• Bachelor's degree or equivalent professional experience in CS/IS/Engineering.
• 7+ years of data engineering, data architecture, or enterprise data platform development.
• Strong SQL and Python proficiency; experience with Snowflake/AWS/Azure and ETL/ELT orchestration.
• Experience with Generative AI, LLMs, AI assistants, or conversational AI.
• Experience with BI platforms like Power BI or Tableau.

Responsibilities

• Design, build, and optimize scalable data pipelines for multiple B2B data products and enterprise reporting.
• Architect data ingestion, transformation, and storage across cloud and hybrid environments.
• Establish reusable data engineering standards and best practices.
• Develop curated enterprise datasets for dashboards, analytics, and AI initiatives.
• Design architectures supporting AI applications, conversational agents, and self-service experiences.
• Build and maintain RAG frameworks and semantic search capabilities.
• Integrate structured and unstructured data into AI-ready environments.
• Collaborate with AI teams to operationalize AI-driven use cases with governance and security.
• Define data layers for executive dashboards and KPIs.
• Implement data validation, monitoring, and observability.

Skills

SQL

Python

Cloud data platforms

ETL/ELT orchestration

Vector databases

Embeddings

Semantic indexing

AI frameworks

Power BI

Tableau

Education

Bachelor's Degree in Computer Science / Information Systems / Engineering

Tools

Snowflake

AWS

Azure

ETL/ orchestration tools

LangGraph

Job description

Job#: 3051974

Job Description

Technology - Sr. Engineer

Locations

Orlando, FL; Seattle, WA; Burbank, CA; Glendale, CA; Anaheim, CA

Role Overview

The Senior Data Engineer for B2B AI & Data Products will lead the design, development, and implementation of integrated data solutions that power analytics, reporting, and AI-driven experiences. This role is responsible for creating trusted, scalable data foundations while enabling self-service capabilities through AI-powered applications, conversational agents, semantic search, and intelligent data products. This position involves working across business, product, analytics, and technology teams to architect and engineer a modern integrated data ecosystem.

Key Responsibilities

• Design, build, and optimize scalable data pipelines and integration frameworks to support multiple B2B data products and enterprise reporting needs.
• Architect and implement data ingestion, transformation, and storage patterns across cloud and hybrid data environments.
• Establish reusable data engineering standards and best practices.
• Develop curated enterprise datasets for dashboards, analytics, and AI initiatives.
• Design and implement data architectures that support enterprise AI applications, conversational agents, and intelligent self-service experiences.
• Build and maintain Retrieval-Augmented Generation (RAG) frameworks and semantic search capabilities.
• Engineer scalable solutions that integrate structured and unstructured data into AI-ready environments.
• Collaborate with AI and analytics teams to operationalize AI-driven use cases while ensuring governance, security, and compliance standards.
• Design and maintain data layers that support executive dashboards, operational KPIs, and enterprise reporting.
• Implement data validation, monitoring, and observability processes.

Required Qualifications

Education: A Bachelor’s Degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience is required.

Experience: A minimum of 7 years of experience in data engineering, data architecture, or enterprise data platform development is required. Proven experience designing and supporting enterprise data pipelines and data warehouse/Lakehouse solutions is necessary. Experience developing solutions that support Generative AI, LLMs, AI Assistants, or Conversational AI applications is also required.

Technical Skills: Strong expertise in SQL and Python is required. Experience with cloud data platforms such as Snowflake, AWS, or Azure and hands-on experience with ETL/ELT orchestration tools are necessary. Familiarity with vector databases, embeddings, and semantic indexing is needed. Experience with modern AI frameworks like Claude, Cursor, Snowflake Cortex AI, Databricks Mosaic AI, or Amazon Bedrock is required. Experience supporting BI platforms such as Power BI or Tableau is also required.

Preferred Qualifications

• Experience supporting enterprise data product models or platform-based operating structures.
• Hands-on experience enabling AI or machine learning workflows within enterprise data environments.
• Experience building enterprise conversational agents, AI assistants, or knowledge retrieval platforms.
• Hands-on experience implementing RAG architectures and vector search platforms.
• Experience with GraphRAG, knowledge graphs, or semantic modeling.
• Experience using agents and orchestration frameworks such as LangGraph, Semantic Kernel, or CrewAI.
• Experience partnering with Product Managers to deliver AI-driven self-service capabilities.
• Exposure to machine learning data preparation or AI data pipelines.
• Experience implementing data observability or data reliability engineering practices.
• Background working in Agile delivery models with cross-functional product teams.

Benefits Overview

Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach.

Equal Opportunity Employer

Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

Accommodation Information

If you require an accommodation under the Americans with Disabilities Act to participate in an interview with a virtual recruiter or to use our website for a search or application, please contact our Benefits Department at [e-mail] or 804-523-8228. Please note that this contact information is strictly to be used for medical ADA accommodations and that no other inquiries will be answered.

UnitedHealthcare Transparency Statement

UnitedHealthcare creates and publishes the Transparency in Coverage Machine-Readable Files on behalf of Everforth Apex Systems.