Sr. Security Analytics Engineer - Rules Job at Geico (Chevy Chase)

Ms Fabric Sr. Engineer

Build and maintain data ingestion pipelines using Data Factory, Dataflows Gen2, ...

Location

India , NCR Region

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

6–10 years of experience in data engineering, with strong Azure analytics background
Hands on experience with Microsoft Fabric, including: Data Engineering (Lakehouse, Notebooks, Pipelines), Data Factory (Dataflows Gen2, Pipelines), Data Warehouse (SQL Endpoint, Direct Lake), Power BI (datasets, DAX, semantic models), OneLake & Delta Lake
Strong skills in SQL, PySpark, Python, and ETL/ELT development
Experience with Azure services such as ADLS, ADF, Databricks, Synapse, Event Hub, and Key Vault
Experience working with insurance data (policies, claims, pricing, exposure, risk) is highly desirable
Understanding of regulatory reporting (Solvency II, IFRS 17) is a plus
Strong problem solving and analytical skills
Ability to work in agile, cross functional teams
Clear communication and documentation abilities
Able to guide junior team members

Job Responsibility

Build and maintain data ingestion pipelines using Data Factory, Dataflows Gen2, Pipelines, and event driven patterns
Develop Lakehouse structures using Delta Lake, Notebooks (PySpark), and medallion architecture
Implement Fabric Data Warehouse objects (tables, stored procedures, views, SQL endpoints)
Create and optimize semantic models for Power BI, including Direct Lake datasets
Develop KQL databases and real time analytics components where required
Implement CI/CD pipelines for Fabric using Git integration and DevOps best practices
Monitor, troubleshoot, and optimize Fabric workloads for performance and cost
Ensure data quality through validation rules, profiling, and automated checks
Support production deployments, incident resolution, and environment management
Work with Hiscox business teams to understand data requirements and translate them into technical solutions

Sr. Engineer Software

Are you ready to join the Un-carrier movement? We are seeking a highly skilled a...

Location

United States , Frisco

Salary:

113600.00 - 205000.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

Bachelor's degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience. Acceptable areas of study include Computer Science, Software Engineering, Information Management or equivalent experience in field
4-7 years of technical engineering experience
Analytical Thinking and Excellent problem-solving, debugging, and system design skills
Strong leadership and collaboration across multi-functional, geographically distributed teams. Mentorship of junior team members
Excellent communication skills and customer service skills collaborating with multi functional team members
Strong software development and design experience in Java, Spring Boot, REST APIs, and microservices architecture
System Integration and technical writing skills
Hands-on experience with Azure Cloud (AKS, App Services, Functions, CI/CD pipelines)
Proficiency with databases and integrations: MongoDB
Experience in monitoring and logging using tools such as Splunk

Job Responsibility

Architect, design, and implement scalable microservices for ET platforms
Ensure API-first design with high availability, security, and performance
Develop automation for rule-based order flows and subscription lifecycle management
Build and run event-driven systems, including consumers and asynchronous flows integrated with other systems
Manage cloud-native deployments on Azure with a strong focus on scalability and resilience
Conduct code reviews, performance tuning, and issue resolutions to maintain high code quality
Build and optimize the T-Mobile for Business Order Platform, ensuring responsive and reliable order processing
Support self-service and rep-assisted customer journeys with minimal fallout
Integrate backend systems seamlessly with all ET products
Provide technical leadership and mentorship to onshore and offshore developers, focusing on design quality and best practices

What we offer

annual stock grant
employee stock purchase plan
401(k)
free, year-round money coaches
medical, dental and vision insurance
flexible spending account
paid time off and up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Sr. Data Engineer

The Senior Data Engineer supports enterprise data unification and analytics init...

Location

United States , Deerfield

Salary:

Not provided

Tier4 Group

Expiration Date

Until further notice

Requirements

Experience designing, developing, and supporting data pipelines (ETL/ELT) that integrate data from multiple systems
Strong SQL skills, including writing and optimizing complex queries, joins, and stored procedures in Microsoft SQL Server or comparable relational databases
Hands-on experience with Azure Synapse Analytics, Azure Data Factory, or similar cloud-based data warehousing and integration platforms
Experience working with large datasets in cloud or hybrid data environments
Working knowledge of data modeling concepts, including fact and dimension tables and schema design for analytics and reporting
Experience supporting business intelligence tools, particularly Microsoft Power BI, including datasets and dataflows
Ability to use scripting or programming languages such as SQL, Python, or PySpark for data transformation and automation
Approximately 3–5 years of professional experience in data engineering, analytics engineering, or a related role
Approximately 1–3 years of experience in data modeling or database design for analytics use cases
Undergraduate degree or equivalent experience in Computer Science, Information Systems, or a related field

Job Responsibility

Design, build, and maintain automated ETL/ELT data pipelines that ingest and transform data from Microsoft Dynamics 365 and legacy systems into an Azure Synapse data lake and enterprise data warehouse
Monitor, optimize, and support data pipeline performance to ensure reliable, timely data refreshes and efficient resource utilization
Implement data quality checks, validation rules, and cleansing processes to ensure data accuracy, consistency, and readiness for enterprise-wide analysis
Support data unification efforts by integrating data from multiple business units and systems without altering source system integrity
Contribute to the design and evolution of enterprise data models, including dimensional and star schemas, to support standardized reporting and unified business definitions
Define and maintain master data structures and relationships that enable analysis across both ERP and non-ERP data sources
Prepare curated and optimized datasets for business intelligence and analytics use cases, including Power BI dashboards and self-service reporting
Write and optimize SQL queries and develop new pipeline components to support reporting, analytics, and ad hoc data needs
Collaborate with business analysts, business intelligence developers, ERP specialists, and other stakeholders to translate reporting and analytics requirements into technical solutions
Apply data engineering and analytics best practices, including version control, documentation, code review, and performance tuning

Fulltime

Sr Data Engineer

The Senior Data Engineer plays a critical role in delivering strategic and opera...

Location

United States

Salary:

120000.00 - 160000.00 USD / Year

Personify Health

Expiration Date

Until further notice

Requirements

At least one AWS certification (e.g., AWS Certified Data Analytics – Specialty, Big Data – Specialty, Developer – Associate)
7+ years in data engineering or analytics engineering, with a strong focus on cloud-native architectures. Proven experience designing and operating scalable data platforms in AWS
5+ years in healthcare, insurance, or claims processing, including 5+ years working with EDI (834, 835, 837, 2222, 2223, 999), X12 file standards or HL7 standards and familiarity with HIPAA and CMS compliance
Expert-level proficiency in SQL (including pivots, window functions, and complex date calculations) and Python for data processing, transformation, and application development
Hands-on experience with orchestration tools like Airflow, containerization with Docker, and CI/CD pipelines. Strong bias for automation and continuous improvement
Proficient in consuming and transforming REST APIs and JSON data into relational models. Skilled in building robust data ingestion and transformation pipelines
Experience with JIRA, BitBucket Git, BitBucket Pipelines, and collaboration with cross-functional teams including Data Analysts, Data Scientists, Product, and Account Management
Proficient in Excel and BI tools such as Tableau, Power BI, and MicroStrategy for data analysis and reporting
Detail-oriented with a strong focus on data quality, accuracy, and performance tuning for large-scale data systems. Background in cost optimization and system reliability
Ability to mentor engineers, share technical knowledge, and communicate effectively with both technical and non-technical stakeholders. Strong documentation and systems thinking

Job Responsibility

Build data applications and processes using Python, SQL, and Django
manage and query data in PostgreSQL, Oracle, and cloud-native databases
Examine, extract, cleanse, and load data while implementing quality assurance rules and tools to ensure consistent and accurate data
Work with healthcare-specific data processes such as EDI file transfers, claims adjudication, audits, eligibility verification, and reporting workflows
Collaborate with cross-functional teams (Data Analysts, Data Scientists, Product, Reporting, Account Management) to define requirements and deliver data-driven solutions
Ensure data quality, integrity, and security through automated validation, auditing, and monitoring, with compliance to HIPAA and CMS regulations
Monitor, maintain, and tune pipeline performance
proactively troubleshoot and resolve complex data flow and system issues
Provide technical mentorship to Data Engineers, sharing expertise in data modeling, pipeline development, and troubleshooting practices
Research and propose improvements to the tech stack and data engineering processes

What we offer

Competitive base salary and benefits effective day one
Comprehensive medical and dental through our own health solutions (yes, we use what we build)
Unlimited PTO—rest and recharge time is non-negotiable
Mental health support, retirement planning, and financial protection
Professional development with clear career progression and learning budgets
Mission-driven culture where diverse perspectives drive real impact on people's health

Fulltime

Sr. Technical Program Manager — Engineering Security & AI Governance

Uber's Engineering Security organization runs several high-volume, high-judgment...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

4+ years as a TPM, Program Manager, or equivalent in a software or technology environment
Strong analytical skills: you see patterns in data and operational signals that others miss, and turn those observations into action
Excellent written and verbal English
Strong follow-through. You drive things to completion across multiple stakeholders without needing to be reminded of status
JIRA proficiency: JQL, dashboards, automation rules, sprint management
Daily use of AI tools (Claude, ChatGPT, etc.) as productivity accelerators or demonstrated ability to ramp up within four weeks
Self-directed across time zones
comfortable making decisions with incomplete information
Skilled at driving alignment across teams without formal authority

Job Responsibility

AI agent oversight
Security & privacy review program operations
Security champions network
Cross-program analysis and improvement
AI-assisted execution
Executive reporting

Fulltime

Sr. Cyber Detection Incident Analyst - Security Operations

As a Cyber Detection Incident Analyst on GM’s Security Operations team, you will...

Location

United States , Warren

Salary:

Not provided

General Motors

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Information Security, Computer Science, Information Systems, or equivalent experience
5+ years of experience in cybersecurity with a focus on detection engineering, security operations, incident response, intrusion detection, or security event analysis
Strong analytical and investigative skills with the ability to interpret complex datasets and communicate findings effectively
Ability to create tactical scripts (Python, PowerShell, KQL, Bash, etc.) to supplement investigative workflows and enrich detections
Experience with network security monitoring (IDS, packet capture, flow analysis) and proper techniques for identifying and responding to security events
Experience detecting threats in cloud environments (Azure, AWS, GCP) and using cloud-native detection tooling
Strong collaboration and communication skills with focus on cross-team partnerships
Demonstrated ability to mentor other analysts, contribute to team development, and work effectively in a collaborative team environment
Deep knowledge of SIEM technologies, log‑centric analytics, and correlation logic
Deep knowledge of EDR platforms and behavioral-based detection methodologies

Job Responsibility

Conduct expert-level triage and deep-dive analysis of security events using EDR, NDR, identity telemetry, application logs, SIEM analytics, SOAR workflows, and cloud-native security tools
Lead incident escalation workflows and collaborate with the Incident Response and other partner teams drive timely containment and resolution of security threats
Perform proactive threat hunting across endpoints, networks, identity systems, cloud platforms (Azure, AWS, GCP), and SaaS environments using threat intelligence, behavioral analytics, and TTP/IOC research
Correlate telemetry across diverse systems to identify sophisticated attack patterns
Apply strong understanding of OS internals, cloud architectures, networking, authentication protocols, and adversary tradecraft to assess risk, determine impact, and drive escalation decisions
Integrate threat intelligence (IOCs, behavioral patterns, ATT&CK-aligned TTPs) into detection logic, use cases, and hunt strategies
Develop, tune, and maintain high-efficacy detections across: SIEM : correlation rules, anomaly detection, enrichment logic
EDR/XDR : behavioral detections, process analytics, custom rules
NDR : network anomaly detection, lateral movement patterns
SOAR : automation workflows, enrichment routines

What we offer

Relocation benefits may be eligible

Fulltime

Applications Development Sr Programmer Analyst

The JAVA Full Stack Senior Developer role is an intermediate level position resp...

Location

Canada , Mississauga

Salary:

94300.00 - 141500.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

Excellent communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences
6+ years of professional experience in full-stack software development, with a proven track record of delivering complex, large-scale, enterprise-level applications
6+ years of hands-on experience designing micro-service-based application
Strong hands-on experience with modern JavaScript frameworks, specifically React.js and TypeScript, for building sophisticated user interfaces
Deep proficiency in Java and the Spring Boot framework for building enterprise-grade microservices
Low-latency, scalable, high-throughput API development (Spring Boot, Hibernate/JPA)
Hands-on experience with a major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes, OpenShift)
Familiarity with CI/CD pipelines (Jenkins, GitHub Actions) is essential
Problem-solving, troubleshooting, and clean code (Core Java, J2EE, Collections, Multithreading)
API integration (third-party libraries, security)

Job Responsibility

Utilize mature programming methodologies and languages, including Java Spring Boot and React.js, to deliver and maintain high-quality software solutions
Design, develop, test, and deploy end-to-end solutions, from responsive React.js front-end components to resilient Java Spring Boot microservices
Architect and implement RESTful APIs and expose backend functionality as MCP (Model Context Protocol) services to be consumed by AI agents
Deploy and manage applications within Citi's cloud environment (leveraging OpenShift/Kubernetes and AWS), integrating with cloud-native storage like S3 and enterprise databases like Oracle as a Service (OraaS)
Partner with and contribute to a cross-functional team of product managers, designers, and other engineers to translate business requirements into high-quality technical solutions
Evaluate and recommend new and emerging technologies, including the application of AI, to solve complex business problems
Ensure software components are designed and implemented to be of high quality, reusable, and easily maintainable
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations
Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas
Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users

Fulltime

Apps Development Sr Manager

The Applications Development Senior Manager – This role is Payments Technology i...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

6–10 years of relevant experience in Financial Services, with a strong focus on Payments technology or operations
Deep functional knowledge of payment systems and rails, including one or more of: SWIFT, ACH, SEPA, RTGS, Fedwire, CHIPS, card payment networks, or real-time payment platforms (e.g., RTP, FedNow)
Familiarity with payment messaging standards, particularly ISO 20022 and SWIFT MT/MX message formats
Experience managing technology delivery teams in a senior leadership or management capacity
Strong understanding of the end-to-end payment lifecycle: initiation, processing, clearing, settlement, reconciliation, and exception management
Knowledge of regulatory and compliance frameworks relevant to payments (e.g., PSD2, AML, OFAC, KYC, data privacy regulations)
Demonstrated ability to engage and influence senior business and technology stakeholders
Proven project and program management skills, with experience delivering complex, multi-workstream technology initiatives
Experience working in Agile/Scrum delivery environments
Strong analytical and problem-solving skills with the ability to evaluate technical solutions from a functional and business perspective

Job Responsibility

Serve as the subject matter expert (SME) for payment systems, including but not limited to domestic and cross-border payment rails (SWIFT, ACH, SEPA, RTGS, Fedwire, CHIPS), payment messaging standards (ISO 20022, MT/MX), and payment lifecycle management
Lead the end-to-end delivery of payment technology initiatives, from requirements gathering through implementation and post-production support
Partner with business stakeholders to translate complex payment processing requirements into actionable technology solutions
Provide oversight and guidance on payment system architecture, integration patterns, and data flows across upstream and downstream systems
Manage one or more Applications Development teams focused on Payment’s technology, including conducting personnel duties such as performance evaluations, hiring decisions, and career development
Drive delivery of payment technology projects, ensuring adherence to timelines, budgets, and quality standards
Allocate resources effectively across projects and manage day-to-day team operations
Facilitate Agile/Scrum ceremonies and ensure teams follow established SDLC processes
Review and evaluate proposed technical solutions for payment system projects, ensuring alignment with enterprise architecture standards and payment industry best practices
Provide functional oversight across payment processing systems, including transaction routing, settlement, reconciliation, and exception handling

Fulltime

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Sr. Security Analytics Engineer - Rules

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

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