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Real Time Market Data Engineer Jobs (NOW HIRING)

Photon

Data Lead- Dallas, TX

Dallas, TX · On-site

We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic ... to act on real-time market or operational changes. * Evaluation Frameworks: Construct "Gold ...

Arizona Public Service

Real Time Trader II

Phoenix, AZ · On-site

Markets excess resources to other utilities, marketers or Energy Imbalance Market on a real time ... Bachelor's degree in a quantitative, technical, or business-related field (e.g., engineering ...

WorkNovas LLC

Data Engineer

Bentonville, AR · On-site

$100K - $120K/yr

Sunnyvale, CA & Bentonville, AR - (On-Site) -     Worknovas is looking for a Data Engineer with Spark & Streaming skills builds real-time, scalable data pipelines using tools like Spark, Kafka ...

KX Inc.

Developer Relations Engineer

New York, NY · Hybrid

$125K - $200K/yr

The main deliverable is the technical enablement of sellers, presales engineers, customers, and community members to experience how KX turns historical, intraday, and real-time market data into ...

Qode

Data Engineer

NJ · On-site

$116K - $140K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing

FD Technologies

Developer Relations Engineer

Manhattan, NY · On-site

$125K - $200K/yr

The main deliverable is the technical enablement of sellers, presales engineers, customers, and community members to experience how KX turns historical, intraday, and real-time market data into ...

Qode

Data Engineer

Irving, TX · On-site

$110K - $133K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing

Qode

$116K - $140K/yr

Data Engineer - MEM SQL Location: New Jersey / Irving, TX / Tampa, FL We are looking for an ... Work extensively with MEM SQL (SingleStore) for real-time and large-scale data processing

Arbor

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

... real-time--delivering the same market advantages that were previously exclusive to Fortune 500 ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

Arbor

Data Engineer

Boston, MA · Remote

$117K - $140K/yr

... real-time--delivering the same market advantages that were previously exclusive to Fortune 500 ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

... real-time--delivering the same market advantages that were previously exclusive to Fortune 500 ... The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that ...

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Real Time Market Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do real time market data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for real time market data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Real Time Market Data Engineer jobs?

For Real Time Market Data Engineer jobs, the most frequently searched job titles are:

Infographic showing various Real Time Market Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Lead- Dallas, TX

Dallas, TX • On-site

Photon
IT Services • 1 - 10 employees
Learn more about Photonexternal

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted 29 days ago

Job description


We are seeking a Lead Data Engineer to build and scale the data infrastructure powering our Agentic AI products. You 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: 10+ years in Data Engineering, with at least 2 years 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 46,000
Maximum Compensation: USD 162,000
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

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