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Rules Engine Jobs (NOW HIRING)

Quantix

Functional Analyst

Englewood, CO · On-site

Desired Skills: 1) Mortgage experience. 2) Rules engine experience. Qualifications Required Skills: 1) Business Analyst. 2) Full SDLC experience. 3) Technical experience. 4) Data Analyst. Desired ...

CEDENT

Cloud Platform Engineer

$40 - $60/hr

  • Medical

  • Dental

  • Vision

We are seeking a skilled Platform Engineer with 5+ years of expertise in Azure, Snowflake, and Drools rules engine to design, build, and manage a robust data and application platform. * This role ...

P2PSoftTek Inc

Azure Architect

Boston, MA · On-site

$69 - $90/hr

Seeking a Technical Lead / Architect to design and deliver Next Best Action / Next Best Offer (NBA/NBO) solutions using Azure Rules Engine and Snowflake. The role will lead architecture ...

Inficare Technologies

Business Analyst

Expertise in: • Requirements elicitation and documentation • Workflow and process modeling (L1/L2/L3) • Business rules definition (rules engine concepts) * Experience designing: • Role-based ...

Acosta

Coordinator BPS Cust Serv

Charlotte, NC · On-site

$17.50/hr

Investigate rules engine failures and determine appropriate course of action. * Escalate all unresolved rules engine issues to Customer Service Supervisor. * Fill out rules engine request and submit ...

Acosta

Coordinator BPS Cust Serv

Lewisville, TX · Hybrid

$16.75 - $22/hr

Investigate rules engine failures and determine appropriate course of action. * Escalate all unresolved rules engine issues to Customer Service Supervisor. * Fill out rules engine request and submit ...

City National Bank

VP POS Fraud Strategy

Newark, DE · On-site

$101K - $172K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

You will own performance and evolution of the fraud rules engine, lead strategy development, rules optimization and decisioning governance across the portfolio. In addition, you will support key ...

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Rules Engine information

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How much do rules engine jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for rules engine in the United States is $21.64, according to ZipRecruiter salary data. Most workers in this role earn between $17.55 and $24.04 per hour, depending on experience, location, and employer.

What is a rules engine?

A Rules Engine is a software system that automates decision-making by applying predefined business rules to data inputs. It separates business logic from application code, allowing organizations to quickly adapt to changing policies or regulations without redeploying software. Rules Engines are commonly used in industries like finance, insurance, and healthcare to automate approvals, risk assessments, and compliance checks. By using a Rules Engine, businesses can improve efficiency, ensure consistency, and respond rapidly to market or regulatory changes.

What are the key skills and qualifications needed to thrive as a rules engine developer?

To thrive as a Rules Engine Developer, you need a solid background in software development, logic programming, and experience with rule-based systems, often supported by a degree in computer science or related field. Familiarity with rules management tools like Drools, IBM ODM, or Red Hat Decision Manager, and knowledge of integration with enterprise systems are typically required. Strong analytical thinking, attention to detail, and effective communication make someone stand out in this position. These skills ensure that business logic is accurately implemented, easily maintained, and effectively communicated to both technical and non-technical stakeholders.

How does a rules engine specialist typically collaborate with business analysts and developers during a project?

A Rules Engine Specialist works closely with business analysts to gather and interpret business requirements, translating them into logical rules within the engine. They also collaborate with developers to ensure seamless integration of rules into existing systems and troubleshoot any technical issues. Regular meetings and joint testing sessions are common, allowing the team to align on business objectives and technical constraints for an effective, scalable solution.

What is the difference between Rules Engine vs Data Analyst?

AspectRules EngineData Analyst
Required CredentialsTechnical certifications, programming skillsDegree in statistics, mathematics, or related field
Work EnvironmentSoftware development, IT teamsBusiness, finance, marketing departments
Industry UsageAutomation, decision-making systemsData interpretation, reporting
Common Search IntentUnderstanding automation toolsAnalyzing data trends

While a Rules Engine automates decision processes through predefined rules, a Data Analyst interprets data to inform business strategies. Both roles require analytical skills but serve different functions within organizations.

More about Rules Engine jobs

What states have the most Rules Engine jobs?

States with the most job openings for Rules Engine jobs include:

What job categories do people searching Rules Engine jobs look for?

The top searched job categories for Rules Engine jobs are:

Rules Engine jobs near you
Infographic showing various Rules Engine job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $45,021 per year, or $21.6 per hour.

SPARK Data Reconciliation Engineer- Jersey City

Photon

Addison, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday

Job description

Job Title: PySpark Data Reconciliation Engineer

Summary:

We're seeking a skilled PySpark Data Reconciliation Engineer to join our team and drive the development of robust data reconciliation solutions within our financial systems. You will be responsible for designing, implementing, and maintaining PySpark-based applications to perform complex data reconciliations, identify and resolve discrepancies, and automate data matching processes. The ideal candidate possesses strong PySpark development skills, experience with data reconciliation techniques, and the ability to integrate with diverse data sources and rules engines.

Key Responsibilities:

Data Reconciliation Development:

  • Design, develop, and test PySpark-based applications to automate data reconciliation processes across various financial data sources, including relational databases, NoSQL databases, batch files, and real-time data streams.
  • Implement efficient data transformation, matching algorithms (deterministic and heuristic) using PySpark and relevant big data frameworks.
  • Develop robust error handling and exception management mechanisms to ensure data integrity and system resilience within Spark jobs.

Data Analysis and Matching:

  • Collaborate with business analysts and data architects to understand data requirements and matching criteria.
  • Analyze and interpret data structures, formats, and relationships to implement effective data matching algorithms using PySpark.
  • Work with distributed datasets in Spark, ensuring optimal performance for large-scale data reconciliation.

Rules Engine Integration:

  • Integrate PySpark applications with rules engines (e.g., Drools) or equivalent to implement and execute complex data matching rules.
  • Develop PySpark code to interact with the rules engine, manage rule execution, and handle rule-based decision-making.

Problem Solving and Gap Analysis:

  • Collaborate with cross-functional teams to identify and analyze data gaps and inconsistencies between systems.
  • Design and develop PySpark-based solutions to address data integration challenges and ensure data quality.
  • Contribute to the development of data governance and quality frameworks within the organization.

Qualifications and Skills:

  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of hands-on experience in big data development, preferably with exposure to data-intensive applications.
  • Strong understanding of data reconciliation principles, techniques, and best practices.
  • Proficiency in PySpark, Apache Spark, and related big data technologies for data processing and integration.
  • Experience with rules engine integration and development 
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.
  • Excellent communication and collaboration skills to work effectively with business analysts, data architects, and other team members.
  • Familiarity with data streaming platforms (e.g., Kafka, Kinesis) and big data technologies (e.g., Hadoop, Hive, HBase) is a plus.

Compensation, Benefits and Duration

Minimum Compensation: USD 43,000
Maximum Compensation: USD 151,000
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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