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Vector Databases Jobs in Cleveland, OH (NOW HIRING)

Senior Data Engineer

Cleveland, OH · Hybrid

$102.80K - $139.70K/yr

Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub. Preferred Qualifications * Experience architecting feature stores or data pipelines specifically ...

Familiarity with vector databases, orchestration frameworks, and cloud platforms (AWS, Azure, GCP) preferred. * Attributes : Exceptional communicator who explains technical concepts clearly.

Familiarity with vector databases, orchestration frameworks, and cloud platforms (AWS, Azure, GCP) preferred. * Attributes : Exceptional communicator who explains technical concepts clearly.

Familiarity with vector databases, orchestration frameworks, and cloud platforms (AWS, Azure, GCP) preferred. * Attributes : Exceptional communicator who explains technical concepts clearly.

Senior Data Engineer

Cleveland, OH · Hybrid

$102.80K - $139.70K/yr

Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub. Preferred Qualifications * Experience architecting feature stores or data pipelines specifically ...

Senior Data Engineer

Cleveland, OH · On-site

$102.80K - $139.70K/yr

Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub. Preferred Qualifications * Experience architecting feature stores or data pipelines specifically ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. * Contribute ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. * Contribute ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. * Contribute ...

Senior AI Engineer

Cleveland, OH · On-site +1

$101.30K - $139.20K/yr

Hands-on expertise with vector databases (Pinecone, Weaviate, PostgreSQL) and search algorithms. * Strong understanding of LLMOps principles, including model registry, versioning, and serving ...

Mentor data scientists, ML engineers and AI engineers; support skill development in areas such as forecasting, ML modeling, generative AI, vector databases, and modern ETL/ELT workflows. Contribute ...

Senior AI / ML Engineer

Cleveland, OH

$101.30K - $139.20K/yr

Experience working with relational, NoSQL, and vector databases. * Familiarity with CI/CD tools, containerization (Docker), and orchestration (Kubernetes). * Experience with experiment tracking and ...

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Vector Databases information

What are the key skills and qualifications needed to thrive as a Vector Database Engineer, and why are they important?

Success as a Vector Database Engineer requires a strong background in computer science, database management, and experience with machine learning or AI-driven data systems. Familiarity with vector database platforms (such as Pinecone, Milvus, or Weaviate), cloud infrastructure, and proficiency in languages like Python are typically expected. Strong problem-solving skills, effective communication, and the ability to work cross-functionally help engineers stand out. These competencies are vital to efficiently design, deploy, and maintain scalable vector search solutions that power modern AI applications.

What are some common challenges faced when working with vector databases, and how can they be addressed?

Professionals working with vector databases often encounter challenges such as efficiently scaling to handle large datasets, ensuring low-latency similarity searches, and integrating the database with machine learning pipelines. To address these, teams typically implement distributed architectures, fine-tune indexing strategies, and collaborate closely with data engineers and machine learning specialists. Staying updated with the latest developments in vector database technologies and maintaining clear communication with cross-functional teams are also key to overcoming these challenges.

What are vector databases?

Vector databases are specialized databases designed to store, manage, and search high-dimensional vector data, which is commonly generated from machine learning models, such as embeddings from natural language processing or image recognition. They enable efficient similarity search operations, such as finding the most similar items to a given query vector, which is essential for applications like recommendation systems, semantic search, and AI-powered search engines. Unlike traditional databases that handle structured or unstructured data, vector databases are optimized for fast and scalable similarity searches on large datasets of vectors.

What is the difference between Vector Databases vs Data Engineers?

AspectVector DatabasesData Engineers
Required SkillsDatabase management, data modeling, query optimizationData pipeline development, ETL processes, programming
Work EnvironmentData storage systems, AI/ML projects, cloud platformsData infrastructure, cloud environments, big data tools
Industry UsageAI, machine learning, recommendation systemsData integration, analytics, data architecture

While Vector Databases focus on storing and querying high-dimensional vector data for AI applications, Data Engineers build and maintain data pipelines and infrastructure to support data analysis and machine learning workflows. Both roles are essential in data-driven industries but serve different functions within the data ecosystem.

What are popular job titles related to Vector Databases jobs in Cleveland, OH? For Vector Databases jobs in Cleveland, OH, the most frequently searched job titles are:
What job categories do people searching Vector Databases jobs in Cleveland, OH look for? The top searched job categories for Vector Databases jobs in Cleveland, OH are:
What cities near Cleveland, OH are hiring for Vector Databases jobs? Cities near Cleveland, OH with the most Vector Databases job openings:
Senior Data Engineer

Senior Data Engineer

Further

Cleveland, OH • Hybrid

$102.80K - $139.70K/yr

Other

Posted 22 days ago


Job description

WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further.

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients.  If this sounds exciting to you, let's chat!

SENIOR DATA ENGINEER

We are looking for a highly skilled and strategic Senior Data Engineer to lead in our data engineering consulting team. In this role, you will serve as the technical cornerstone for our clients, designing and deploying the sophisticated data architectures required to support production-grade Artificial Intelligence and Machine Learning applications. This is a high-impact role where you will set the standards for data quality, modeling, and orchestration across the organization. You will navigate diverse technical environments, and your work will directly enable the transition from experimental AI prototypes to resilient, enterprise-scale systems that deliver measurable business value.

What experience should you have:

  • 6+ years of data engineering experience with a focus on modern cloud platforms.
  • Expert-level proficiency in Python and SQL is mandatory.
  • Strong software engineering background with proficiency in Python for building custom integrations and data tools.
  • Deep production experience with dbt for data modeling and Airflow for orchestration.
  • Advanced knowledge of cloud-native data suites within GCP (preferred), AWS, or Azure.
  • Proficiency in managing environment reproducibility using Terraform and Docker, ensuring pipelines are CI/CD compliant.
  • Expert knowledge of cloud data warehouses (BigQuery or Snowflake) and their internal architecture.
  • Experience with AI workflows and data systems like vector databases, PostgreSQL, Vertex AI, Pub/Sub.

Preferred Qualifications

  • Experience architecting feature stores or data pipelines specifically for ML workloads.
  • The ability to navigate diverse technical environments and corporate cultures while maintaining a high standard of delivery and client satisfaction.
  • A commitment to software engineering best practices, including version control, unit testing, and comprehensive documentation.
  • An analytical thinker who anticipates scaling bottlenecks and security vulnerabilities before they impact production.

What you'll be doing in this role:

  • Architect and build scalable, high-volume ELT/ETL pipelines that ingest complex data sets from diverse client systems, including legacy on-premise databases, ERPs, and third-party APIs, into centralized cloud warehouses.
  • Lead the audit and optimization of existing data workflows, refactoring inefficient queries and data models to significantly reduce latency and operational costs for enterprise-scale environments.
  • Design and implement comprehensive data quality frameworks, ensuring automated testing and validation logic catches anomalies before they reach production models or executive dashboards.
  • Design and implement data pipelines specifically for AI workloads, including the management of vector databases to support Retrieval-Augmented Generation (RAG) and model inference.

What you'll need to accomplish in your first year:

  • Own the roadmap for data platform stability and scalability enhancements, ensuring the infrastructure can support the evolving needs of both corporate IT and AI research teams.
  • Provide technical mentorship to the engineering team, conducting rigorous code reviews and driving improvements in coding standards, documentation, and system reliability.
  • Standardize the organization's approach to the Modern Data Stack (MDS), driving the adoption of best practices in dbt, Airflow (Cloud Composer), and Beam (Dataflow) across diverse client engagements.

Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more.

Apply today or check out all our opportunities!

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