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Real Time Data Analyst Jobs (NOW HIRING)

Hire Hangar

Software Engineer, Real-Time Data

Columbia, MD · On-site

$160K - $200K/yr

Software Engineer, Real-Time Data & Network Visualization Location | Remote (US Only) Time Zone | US Time Zones Role Overview: We are seeking a Software Engineer to help build and scale a graph ...

New

Hire Hangar

Software Engineer, Real-Time Data

Elkridge, MD · On-site

$160K - $200K/yr

Software Engineer, Real-Time Data & Network Visualization Location | Remote (US Only) Time Zone | US Time Zones Role Overview: We are seeking a Software Engineer to help build and scale a graph ...

New

Flex

WFM Real-Time Analyst

New York, NY · On-site

... Real-Time Analyst to operate at the intersection of human judgment and AI-powered intelligence ... In this environment, AI agents continuously ingest data across channels, BPO partners, and systems ...

TELUS Digital

WFM Real Time Analyst

Las Vegas, NV · On-site

Sunday, May 24th 2026 by 11:59 PM Position overview As a Real Time Analyst you use your expertise ... Our diverse team weaves data, technology, and human ingenuity to deliver differentiated customer ...

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll play a vital role in transforming real-time data into actionable insights. These positions ... If you're highly analytical, proactive, and comfortable translating data into strategy, we'd love ...

Inficare Technologies

Data Analyst

Phoenix, AZ · On-site

Data Analyst Location: Phoenix, AZ Its day 1 onsite role Duration: Long term Looking for a Data ... This role will contribute to both batch and near real-time data pipelines and help ensure data ...

Flex

WFM Real-Time Analyst

New York, NY · On-site

... Real-Time Analyst to operate at the intersection of human judgment and AI-powered intelligence ... In this environment, AI agents continuously ingest data across channels, BPO partners, and systems ...

VAST Data

Senior Product Data Analyst

Manhattan, NY · On-site +1

$94K - $119K/yr

We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and ...

ibex

WFM Real Time Analyst

Crittenden, NY · On-site

Overview The Real-Time Analyst manages and/or balances service levels for the call center across programs, internal locations, lines of business, and products. The analyst manages the performance of ...

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All JobsReal Time Data Analyst Jobs

Real Time Data Analyst information

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$34K

$82.6K

$136K

How much do real time data analyst jobs pay per year?

As of Jul 9, 2026, the average yearly pay for real time data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Real Time Data Analyst do?

A Real Time Data Analyst monitors, analyzes, and interprets data as it is generated in real-time systems, such as call centers, logistics operations, or online platforms. Their main goal is to use live data to identify trends, detect anomalies, and provide immediate insights that help organizations make quick, informed decisions. Real Time Data Analysts often work with advanced monitoring tools and dashboards, and collaborate closely with operations teams to ensure optimal performance and issue resolution. This role requires strong analytical skills, attention to detail, and the ability to work under pressure in fast-paced environments.

What are the common challenges faced by Real Time Data Analysts, and how can they be addressed?

Real Time Data Analysts often face challenges such as managing high volumes of rapidly incoming data, ensuring data accuracy under tight time constraints, and quickly identifying anomalies or trends. To address these challenges, analysts rely on automated monitoring tools, collaborate closely with IT and operations teams, and continuously update their technical skills to adapt to new data platforms. Effective communication and the ability to stay organized are also essential for prioritizing tasks and responding to urgent data issues in a fast-paced environment.

What is the difference between Real Time Data Analyst vs Data Analyst?

AspectReal Time Data AnalystData Analyst
Required SkillsData visualization, SQL, real-time data processingData analysis, SQL, reporting
Work EnvironmentFast-paced, real-time data streamsOffice-based, periodic reporting
CertificationsSQL, data visualization tools, possibly real-time analytics certificationsSQL, Excel, data analysis certifications
Industry UsageFinance, tech, e-commerceHealthcare, marketing, finance

Real Time Data Analysts focus on analyzing data as it is generated, enabling immediate decision-making. Data Analysts typically work with historical data for reporting and trend analysis. While both roles require strong analytical skills and SQL knowledge, Real Time Data Analysts emphasize real-time data processing tools and fast-paced environments, whereas Data Analysts focus on periodic data review and reporting.

What are the key skills and qualifications needed to thrive as a Real Time Data Analyst, and why are they important?

To thrive as a Real Time Data Analyst, you need strong analytical skills, attention to detail, and a degree in mathematics, statistics, computer science, or a related field. Familiarity with real-time data processing tools like Apache Kafka, SQL, Python, and data visualization platforms is typically required. Critical thinking, effective communication, and the ability to work under pressure are essential soft skills for this role. These competencies enable analysts to rapidly interpret data streams, spot anomalies, and deliver timely insights that drive informed business decisions.
More about Real Time Data Analyst jobs
What job categories do people searching Real Time Data Analyst jobs look for? The top searched job categories for Real Time Data Analyst jobs are:
Real Time Data Analyst jobs near you
Infographic showing various Real Time Data Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Software Engineer, Real-Time Data

Hire Hangar

Columbia, MD • On-site

$160K - $200K/yr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Join Hire Hangar and work with fast-growing global companies while building a long-term career.

Job Title: Software Engineer, Real-Time Data & Network Visualization
Location | Remote (US Only)
Time Zone | US Time Zones

Role Overview:
We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment.

Key Responsibilities:
- Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data
- Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data
- Build and optimize web scraping and crawler infrastructure to support continuous data collection
- Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way
- Collaborate cross-functionally to translate product requirements into scalable technical solutions
- Write clean, maintainable, well-tested code across the stack
- Troubleshoot performance bottlenecks across data ingestion, storage, and visualization l-layers

Required Qualifications:
- Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin)
- Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark)
- Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript
- Front-end development experience with React, Next.js, and TypeScript
- Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure
- Comfortable working in a high-growth, early-stage engineering environment with evolving priorities
- Must be authorized to work in the United States without sponsorship

Preferred Qualifications:
- Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations
- Experience with social listening, social media data, or large-scale web data platforms
- Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow
- Prior experience at a seed-to-Series B startup
- Experience with AWS, GCP, Docker, or Kubernetes

Tools & Technology:
- Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar)
- Streaming/data pipeline tools (Kafka, Spark, Flink, or similar)
- React, Next.js, TypeScript
- Python, Go, or Node.js
- Cloud infrastructure (AWS/GCP), Docker, Kubernetes

 

We connect top talent with vetted employers, competitive pay, and real growth opportunities.

Compensation Range: $160K - $200K