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Query Processing Jobs in New York (NOW HIRING)

Database architecture and query optimization in PostgreSQL * Distributed task processing with Celery and Redis * Infrastructure and deployment pipelines on AWS (EKS, S3, SQS, Lambda) * Integration ...

Inpatient CDI Physician Advisor

Melville, NY · On-site +1

$280K - $350K/yr

Participate in unanswered query escalation process by following up with physicians electronically and in-person to assist in obtaining query responses * Serve as a subject matter expert and resource ...

Python SQL Developer

Newark, NJ · On-site

$52.50 - $72.25/hr

... query tuning, and execution plan analysis. • Monitor and troubleshoot data processing or application performance issues. • Build data processing and automation workflows using Python for batch ...

Process Automation & System Efficiency * Develop and maintain advanced Excel models (Power Query, PivotTables, formulas) to streamline FP&A tasks. * Support the creation and management of Power ...

Define clear success metrics for clean room adoption, query volume, match rates, and client ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Salesforce Developer

Westport, CT · On-site

$58 - $76.75/hr

Engineer generalist role - knows SDLC process, own goals/operate at sr. level with tasks Good ... SQL (Structured Query Language) Agile Scrum SDLC Good English communication skills A plus ...

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Query Processing information

What is query processing?

Query processing refers to the series of steps a database management system (DBMS) takes to interpret and execute a user's query. This process involves parsing the query, translating it into a suitable internal representation, optimizing it for efficient execution, and finally retrieving the requested data from the database. Effective query processing is crucial for ensuring fast and accurate results, especially in large and complex databases. It typically includes techniques like indexing, query rewriting, and using execution plans to improve performance.

How does a Query Processing professional typically collaborate with database administrators and software developers?

Query Processing professionals play a vital role in optimizing how databases handle and execute queries. They work closely with database administrators to analyze performance bottlenecks, suggest indexing strategies, and ensure efficient data retrieval. Collaboration with software developers is also common, as these professionals help design application queries that are both effective and resource-efficient. This teamwork ensures that end-users receive fast, accurate results while maintaining the stability and scalability of database systems.

What are the key skills and qualifications needed to thrive as a Query Processing Specialist, and why are they important?

To thrive as a Query Processing Specialist, you need a solid understanding of database management, information retrieval, and data analysis, often supported by a degree in computer science or a related field. Familiarity with SQL, search algorithms, data warehousing solutions, and query optimization tools is typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you interpret data needs and collaborate with stakeholders. These competencies are crucial for efficiently handling and optimizing queries to ensure accurate, timely access to data and support business decision-making.

What is the difference between Query Processing vs Data Analyst?

AspectQuery ProcessingData Analyst
Required CredentialsKnowledge of databases, SQL, and data retrieval techniquesDegree in statistics, data science, or related fields; SQL knowledge often required
Work EnvironmentDatabase systems, data warehouses, IT departmentsBusiness environments, analytics teams, reporting tools
Industry UsageIT, software development, database managementFinance, marketing, healthcare, and other sectors relying on data insights

Query Processing focuses on retrieving and managing data efficiently within databases, often involving technical skills like SQL and database management. Data Analysts interpret data, generate reports, and provide insights for decision-making. While both roles work with data, Query Processing is more technical and system-oriented, whereas Data Analysts focus on analysis and business applications.

What cities in New York are hiring for Query Processing jobs? Cities in New York with the most Query Processing job openings:

Senior Backend Engineer (AI Focus)

Atrix AI

New York, NY • On-site

$140K - $190K/yr

Full-time

Posted 3 days ago


Job description

Why Atrix
Medical affairs teams at pharma companies are drowning in unstructured data-field notes from medical science liaisons, conference takeaways, real-world insights from post-market studies, scattered across dozens of sources. By the time these insights reach clinicians, they're stale. We're fixing that.
Atrix helps medical affairs teams extract insights from messy, unstructured sources and turn them into action-so emerging findings get to clinicians faster and drugs are delivered more effectively. We're working with top-20 pharma companies and winning head-to-head against larger competitors because we actually listen to customers and build what they need.
Who we are
A small, senior team with roots at Google, a16z, Plaid, and Kickstarter. Seed stage, onsite in NYC. Everyone here has built and scaled products.
The role
You'll be a core backend engineer building the services and infrastructure that power our AI platform. You'll design and implement scalable APIs, optimize database performance, build distributed task processing systems, and ensure our platform can handle the demands of enterprise pharma customers.
What you'll own
  • Our FastAPI-based backend services, including REST APIs serving complex AI workflows
  • Database architecture and query optimization in PostgreSQL
  • Distributed task processing with Celery and Redis
  • Infrastructure and deployment pipelines on AWS (EKS, S3, SQS, Lambda)
  • Integration with LLM frameworks (LangChain, LlamaIndex) and vector databases
  • Backend features that power document processing, data enrichment, and real-time communication

You bring
  • 4+ years with Python
  • 2+ years building production REST APIs with FastAPI, Django, or Flask
  • PostgreSQL experience including schema design
  • Familiarity with async Python patterns
  • Docker containerization experience
  • Some exposure to cloud infrastructure (AWS preferred)

Bonus points
  • Redis and Celery for distributed task processing
  • Deep query optimization and database performance tuning
  • Kubernetes experience
  • Vector databases (Qdrant, Pinecone) or embeddings experience
  • LLM framework experience (LangChain, LlamaIndex)
  • Healthcare or life sciences domain experience