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Rules Engine Jobs (NOW HIRING)

Pennymac

Senior DevOps Engineer

Westlake Village, CA · On-site

$95K - $155K/yr

Rules Engine & Application Support * Provide DevOps support and expertise for the rules engine upgrade to Drools 10 , focusing on optimal performance, scalability, and automated testing integrations.

Infosys Limited Digital

Design the rules engine approach - how rules are represented as data rather than code, how they are evaluated against facts, how conflicts between jurisdictional levels are resolved explicitly and ...

Quantix

Functional Analyst

Englewood, CO

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 ...

Kaav Inc.

Cloud Platform Engineer | Telecommute |

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 ...

Commence

Technical Lead

Leesburg, VA · On-site

Drive rules engine configuration and governance: CMS NCCI/MUE/MPPR edits, fee schedule validations, VA payment policies * Oversee AI/ML pattern recognition model development, xAI output design, and ...

Compass

Senior Software Engineer II

Boston, MA · On-site

$176K - $196K/yr

Design and build the referral program rules engine - the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile * Own the ...

Compass

Senior Software Engineer II

Seattle, WA · On-site

$176K - $196K/yr

Design and build the referral program rules engine - the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile * Own the ...

Compass

Senior Software Engineer II

New York, NY

$176K - $196K/yr

Design and build the referral program rules engine - the system that determines which referral program applies to a given lead, based on brokerage, franchise, geography, and agent profile * Own the ...

CEDENT

Cloud Platform Engineer

$40 - $60/hr

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 ...

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Rules Engine information

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How much do rules engine jobs pay per hour?

As of Jun 30, 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 are the key skills and qualifications needed to thrive as a Rules Engine Developer, and why are they important?

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 a Rules Engine and how is it used in business processes?

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 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
SPARK Data Reconciliation Engineer- Jersey City

SPARK Data Reconciliation Engineer- Jersey City

Photon

Addison, TX • On-site

Full-time, Contractor

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago

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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