Data Engineer

Job#: 2051473

Job Description:

Apex Systems is looking for a Data Engineer for one of our large clients in Cincinnati, OH. If you are interested in any Data Engineer opportunities, please email Molly Biggers at .
We are seeking a skilled Data Engineer to join our Data Science team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support data analytics, machine learning, and Retrieval-Augmented Generation (RAG) type Large Language Model (LLM) workflows. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with data scientists, analysts, and other stakeholders.

Key Responsibilities:

Data Pipeline Development:

• Design, develop, and maintain robust and scalable ETL (Extract, Transform, Load) processes.
• Ensure data is collected, processed, and stored efficiently and accurately.

Data Integration:

• Integrate data from various sources, including databases, APIs, and third-party data providers.
• Ensure data consistency and integrity across different systems.

RAG Type LLM Workflows:

• Develop and maintain data pipelines specifically tailored for Retrieval-Augmented Generation (RAG) type Large Language Model (LLM) workflows.
• Ensure efficient data retrieval and augmentation processes to support LLM training and inference.
• Collaborate with data scientists to optimize data pipelines for LLM performance and accuracy.

Semantic/Ontology Data Layers:

• Develop and maintain semantic and ontology data layers to enhance data integration and retrieval.
• Ensure data is semantically enriched to support advanced analytics and machine learning models.

Collaboration:

• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Provide technical support and guidance on data-related issues.

Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data accuracy and reliability.
• Adhere to data governance policies and best practices.

Performance Optimization:

• Monitor and optimize the performance of data pipelines and infrastructure.
• Troubleshoot and resolve data-related issues in a timely manner.

Support for Analysis:

• Support short-term ad-hoc analysis by providing quick and reliable data access.
• Contribute to longer-term goals by developing scalable and maintainable data solutions.

Documentation:

• Maintain comprehensive documentation of data pipelines, processes, and infrastructure.
• Ensure knowledge transfer and continuity within the team.

Technical Requirements:

Education and Experience:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in data engineering or a related role.

Technical Skills:

• Proficiency in Python (mandatory).
• Experience with other programming languages such as Java or Scala is a plus.
• Experience with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

RAG Type LLM Skills:

• Experience with data pipelines for LLM workflows, including data retrieval and augmentation.
• Familiarity with natural language processing (NLP) techniques and tools.
• Understanding of LLM architectures and their data requirements.

Semantic/Ontology Data Layers:

• Familiarity with semantic and ontology data layers and their application in data integration and retrieval.

Tools and Frameworks:

• Experience with ETL tools and frameworks (e.g., Apache NiFi, Airflow, Talend).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

Soft Skills:

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.

Preferred Qualifications:

• Experience with machine learning and data science workflows.
• Knowledge of data governance and compliance standards.
• Certification in cloud platforms or data engineering.

EEO Employer

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. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at or .

Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.