1

Vector Contracting Jobs in Texas (NOW HIRING)

Data Engineer - Dallas, TX

Dallas, TX ยท On-site

$113K - $136K/yr

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate ... This position is not available for independent contractors No applications will be considered if ...

Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate ... This position is not available for independent contractors No applications will be considered if ...

next page

Showing results 1-20

Vector Contracting information

See Texas salary details

$20.7K

$71.8K

$156.1K

How much do vector contracting jobs pay per year?

As of Aug 7, 2026, the average yearly pay for vector contracting in Texas is $71,810.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,333.00 and $93,219.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by professionals in vector contracting, and how can they be addressed?

Professionals in Vector Contracting often encounter challenges related to project scope management, compliance with safety regulations, and coordinating multiple subcontractors. These issues can be addressed by maintaining clear communication channels, implementing thorough project planning, and staying up to date with industry standards and regulations. Additionally, building strong relationships with clients and team members helps ensure that projects stay on track and any obstacles are resolved efficiently.

What is vector contracting?

Vector contracting refers to specialized services focused on the control and management of disease-carrying pests, such as mosquitoes, ticks, and rodents, which are known as 'vectors.' Companies in this field are typically hired by municipalities, governments, or private clients to monitor, reduce, and prevent the spread of vector-borne diseases. Their work includes surveillance, habitat management, chemical treatments, and public education. Effective vector contracting helps maintain public health and safety by reducing risks associated with pests. These services are especially crucial in areas prone to outbreaks of diseases like West Nile virus, Zika, or Lyme disease.

What are the key skills and qualifications needed to thrive as a vector contracting professional?

To thrive in Vector Contracting, professionals typically need a solid background in project management, construction processes, and contract administration, often backed by a relevant degree and industry certifications. Familiarity with project management software (like Procore or MS Project), cost estimation tools, and legal contract systems is crucial. Strong negotiation, problem-solving, and communication skills help manage clients, resolve disputes, and lead teams effectively. These competencies ensure projects are delivered on time, within budget, and in compliance with contractual and safety regulations.

What is the difference between Vector Contracting vs Electrical Contractor?

AspectVector ContractingElectrical Contractor
CredentialsLicenses, certifications in electrical work, safety standardsLicenses, certifications in electrical systems, safety standards
Work EnvironmentConstruction sites, commercial and residential projectsConstruction sites, industrial, commercial, residential projects
Industry UsageGeneral contracting, project managementElectrical system installation, maintenance, repair

Vector Contracting and Electrical Contractor roles often overlap in construction projects, but Vector Contracting typically encompasses broader project management and general contracting duties, while Electrical Contractors focus specifically on electrical systems. Both require relevant licenses and work in similar environments, but their core responsibilities differ.

Infographic showing various Vector Contracting job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 3% Part Time, and 8% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $71,810 per year, or $34.5 per hour.

Data Engineer - Dallas, TX

Photon

Dallas, TX โ€ข On-site

$113K - $136K/yr

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 hours ago


Job description


We are seeking a Data Engineer who will be responsible for the "Ingestion-to-Insight" pipeline that allows autonomous agents to access, search, and reason over vast amounts of proprietary and public data.
Your role is critical: you will design the RAG (Retrieval-Augmented Generation) architectures and data pipelines that ensure our agents have the right context at the right time to make accurate decisions.
Key Responsibilities
  • AI-Ready Data Pipelines: Design and implement scalable ETL/ELT pipelines that process both structured (SQL, logs) and unstructured (PDFs, emails, docs) data specifically for LLM consumption.
  • Vector Database Management: Architect and optimize Vector Databases (e.g., Pinecone, Weaviate, Milvus, or Qdrant) to ensure high-speed, relevant similarity searches for agentic retrieval.
  • Chunking & Embedding Strategies: Collaborate with AI Engineers to optimize data chunking strategies and embedding models to improve the "recall" and "precision" of the agent's knowledge retrieval.
  • Data Quality for AI: Develop automated "Data Cleaning" workflows to remove noise, PII (Personally Identifiable Information), and toxicity from training/context datasets.
  • Metadata Engineering: Enrich raw data with advanced metadata tagging to help agents filter and prioritize information during multi-step reasoning tasks.
  • Real-time Data Streaming: Build low-latency data streams (using Kafka or Flink) to provide agents with "fresh" data, enabling them to act on real-time market or operational changes.
  • Evaluation Frameworks: Construct "Gold Datasets" and versioned data snapshots to help the team benchmark agent performance over time.

Required Skills & Qualifications
  • Experience: 4+ years in Data Engineering, with at least 1 year focusing on data for LLMs or AI/ML applications.
  • Python Mastery: Deep expertise in Python (Pandas, Pydantic, FastAPI) for data manipulation and API integration.
  • Data Tooling: Strong experience with modern data stack tools (e.g., dbt, Airflow, Dagster, Snowflake, or Databricks).
  • Vector Expertise: Hands-on experience with at least one major Vector Database and knowledge of similarity search algorithms (HNSW, Cosine Similarity).
  • Search Knowledge: Familiarity with hybrid search techniques (combining semantic search with traditional keyword search like Elasticsearch/BM25).
  • Cloud Infrastructure: Proficiency in managing data workloads on AWS, Azure, or GCP.

Preferred Qualifications
  • Experience with LlamaIndex or LangChain for data ingestion.
  • Knowledge of Graph Databases (e.g., Neo4j) to help agents understand complex relationships between data points.
  • Familiarity with "Data-Centric AI" principles-prioritizing data quality over model size.

Compensation, Benefits and Duration
Minimum Compensation: USD 38,000
Maximum Compensation: USD 133,000
Compensation is based on actual experience and qualifications of the candidate. The above is a reasonable and a good faith estimate for the role.
Medical, vision, and dental benefits, 401k retirement plan, variable pay/incentives, paid time off, and paid holidays are available for full time employees.
This position is not available for independent contractors
No applications will be considered if received more than 120 days after the date of this post