reference data services senior analyst assistant vice president Jobs in New York

reference data services senior analyst assistant vice president

senior ai engineer

senior data engineer, execution and planning science (eps) Jobs in New York

senior data engineer, execution and planning science (eps)

senior engineer - data analytics Jobs in New York

senior engineer - data analytics

senior principal software engineer Jobs in New York

senior principal software engineer

senior engineer data analytics

GEICO

<div>At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.
Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers&rsquo; expectations while making a real impact for our company through our shared purpose.
When you join our company, we want you to feel valued, supported and proud to work here. That&rsquo;s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers.
Position Summary
GEICO is seeking an experienced Senior Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning.
Position Description
As a Senior Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from data processing and pipeline development to dimensional data modeling and reporting.
Position Responsibilities
As a Senior Engineer, you will:<ul><li>
Scope, design, and build scalable, resilient distributed systems</li><li>
Utilize programming languages like Python, SQL, and NoSQL databases, along with Apache Spark for data processing, dbt for data transformation, container orchestration services such as Docker and Kubernetes, and various Azure tools and services</li><li>
Utilize your passion for data exploration to produce high quality reports with tools such as Power BI and Apache Superset to empower outstanding business decisions</li><li>
Use your technical expertise to shape product definitions and drive towards optimal solutions</li><li>
Lead in design sessions and code reviews with peers to elevate the quality of engineering across the organization</li><li>
Engage in cross-functional collaboration throughout the entire development lifecycle</li><li>
Manage data pipelines, ensuring consistent data availability
</li><li>Mentor other engineers
</li><li>Consistently share best practices and improve processes within and across teams</li></ul> 
Qualifications<ul><li>
Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Git, Containerization (Docker and Kubernetes)</li><li>
Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics</li><li>
Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred)
</li><li>Experience with Apache Iceberg for managing large-scale tabular data in data lakes is a plus</li><li>
Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines
</li><li>Experience architecting and designing new ETL and BI systems
</li><li>Experience with supporting existing ETL and BI systems</li><li>
Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions
</li><li>Ability to balance the competing needs of multiple priorities and excel in a dynamic environment
</li><li>Advanced understanding of DevOps concepts including Azure DevOps framework and tools</li><li>
Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication)</li><li>
Understanding of microservices oriented architecture and REST APIs and GraphQL
</li><li>Advanced understanding of data quality monitoring and automated testing</li><li>
Strong problem-solving ability</li><li>
Experience with Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred</li></ul> 
 Experience<ul><li>
4+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies</li><li>
3+ years of experience with data architecture and design</li><li>
3+ years of experience with AWS, GCP, Azure, or another cloud service</li><li>
3+ years of experience with ETL and/or BI tools
</li><li>2+ years of experience in Big-data tools like Spark and Databricks</li></ul>
Education<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience</li></ul> 
Annual Salary
$100,000.00 - $230,000.00
The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate&rsquo;s work experience, education and training, the work location as well as market and business considerations. 

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. 
The GEICO Pledge:
Great Company: At GEICO, we help our customers through life&rsquo;s twists and turns. Our mission is to protect people when they need it most and we&rsquo;re constantly evolving to stay ahead of their needs.
We&rsquo;re an iconic brand that thrives on innovation, exceeding our customers&rsquo; expectations and enabling our collective success. From day one, you&rsquo;ll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people&rsquo;s lives.
Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career &ndash; and your potential &ndash; in mind. You&rsquo;ll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels.
Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose.
As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers.
Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future.<ul><li>
Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family&rsquo;s overall well-being.</li><li>
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.</li><li>
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.</li><li>
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.</li></ul>
The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.
GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.</div>

Senior Engineer - Data Analytics

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon is looking for a Senior Data Engineer to help develop a data strategy for Science-Tech Products for NA Supply Chain organization within the Execution and Planning Science (EPS) team. This role will be critical in implementing AI-driven transformation of supply chain planning processes, particularly focusing on under-the-roof labor planning initiatives. 
 
This Data Engineer will work cross-functionally with multiple business stakeholders, technology and Science teams and work with a team of talented scientists and SDEs to develop and implement AI agent-based solutions in the growing GenAI and Large Language Model (LLM) space that is business critical to keep innovating. The role involves creating and implementing a data engineering strategy to support specialized AI agents for Input Validation, Science Model Explainability, Data Analytics, Labor Plan Scenarios, and Risk Analysis capabilities in order to transform manual planning processes into intelligent, automated workflows.
 
 
You will work to enable a roadmap that will enable automation of manual labor planning processes by enhancing agentic decisions via data-driven insights. Your focus will be on Science-Tech services that automate routine operational tasks while maintaining human oversight for critical decisions, driving substantial improvements in planning efficiency through intelligent scenario evaluation and selection. 
 
Key job responsibilities 
<ul><li>Work cross-functionally with multiple business, engineering, and leadership stakeholders to deliver labor planning products that are business critical for supporting network growth and program expansion in Amazon&rsquo;s increasingly complex last mile operations.</li></ul> 
<ul><li>Deep diving current state processes and systems, understanding operational challenges within those processes and systems, collaborating cross-functionally to brainstorm and drive the right solution for the business.</li></ul> 
<ul><li>Collaborating with cross-functional partners to understand pain points and prioritize projects, initiatives, and product solutions</li></ul> 
<ul><li>Collaborating regularly and independently with tech teams to define customer acceptance criteria, test new features and drive the roll-out and adoption by business.</li></ul> 
<ul><li>Making trade-off decisions with the tech team regarding features and priorities within the roadmap based on impact and speed to market.</li></ul> 
<ul><li>Managing the data engineering strategy from high level organizational design to tactical execution.</li></ul> 
<ul><li>Disambiguating product requirements based on an intimate knowledge of the data technologies available.</li></ul></div><h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>5+ years of data engineering experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience with SQL</li><li>Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS</li><li>Experience communicating with users, other technical teams, and management to collect requirements, describe data modeling decisions and data engineering strategy</li><li>Knowledge of distributed systems as it pertains to data storage and computing</li><li>Knowledge of professional software engineering &amp; best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence</li><li>Experience in development or technical support, or experience with data infrastructures: relational analytic DBMS, Elastic-Search, and Big Data EMR/EC2/Glue/Lambda</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with big data technologies such as: Hadoop, Hive, Spark, EMR</li><li>Experience operating large data warehouses</li><li>Experience building data products incrementally and integrating and managing data sets from multiple sources</li><li>Experience providing technical leadership on high-impact cross-fucntional technical project</li><li>Experience working with Data &amp; AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage</li><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience building multi-agent systems, LangChain/LangGraph applications, or custom AI agent frameworks</li><li>Experience with orchestration tools (Airflow, Step Functions, MWAA) and AI-powered workflow automation</li><li>Experience with infrastructure-as-code (CDK, Terraform, CloudFormation) and AI-assisted infrastructure management</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $139,100/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Senior Data Engineer, Execution and Planning Science (EPS)

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
As a Software Development Engineer in the Communications and Corporate Responsibility (CCR) Tech organization, you will work in a collaborative team environment delivering data-driven solutions and analytics capabilities. Our team specializes in building and maintaining data pipelines and analytics platforms that help internal customers access, analyze, and understand Amazon's communications efforts globally. 
In this role, you will develop and maintain data processing systems and analytics applications. Working alongside experienced engineers, you'll design and implement data ingestion pipelines, transform raw data into actionable insights, and build efficient data storage solutions using technologies like Amazon Redshift, S3 data lakes, and various AWS analytics services. 
 
This is an ideal role for engineers with data engineering expertise who want to expand their impact beyond traditional data functions. You'll have opportunities to grow as both a data specialist and a well-rounded software developer. 
 
A day in the life 
Your daily work will involve writing maintainable, efficient code for data processing and analytics workflows. You'll design and implement ETL pipelines, optimize query performance, and ensure data quality and consistency. Key responsibilities include building and maintaining data lakes using AWS services, developing ETL processes for data ingestion and transformation, optimizing Redshift queries and table designs, implementing data quality checks and monitoring, and creating efficient data models for analytics use cases. 
The ideal candidate should have experience with data warehouse technologies, particularly Amazon Redshift, ETL pipeline development and maintenance, SQL and data modeling, working with large-scale data processing systems, data lake architecture and implementation, and Python, Java, or similar languages for data processing. 
 
About the team 
You'll be joining a data-focused technical team within a primarily non-technical organization, providing unique opportunities to work with various data sources while building analytics solutions that make immediate impact. We emphasize data quality, performance optimization, and sustainable development practices. 
Our work spans several core data initiatives supporting Amazon's communications efforts, giving you exposure to different types of data processing and analytics challenges. As part of our team, you'll contribute to systems that help internal customers derive insights from Amazon's communications data across the globe. You'll work with modern data architectures and see the direct impact of your solutions on our customers' ability to make data-driven decisions. 
We've built our team from scratch since 2022, establishing a culture that emphasizes continuous learning in data engineering and analytics. We believe in providing regular feedback and support to help our engineers develop their skills in modern data technologies and advance their careers. If you're passionate about data engineering and want to work in an environment that supports your growth as a data-focused software developer.<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
 
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer, Communications and Corporate Responsibility

Intuit

<div>
 
 Overview
 
 
 
 One out of every two small businesses fail within their first five years, most often due to running out of cash. Intuit QuickBooks is on a mission to provide small businesses access to all the tools they need to manage cashflow. We leverage the rich data inside QuickBooks to enable super-fast payments, payroll, bill pay, and access to capital. With Quickbooks, America&rsquo;s entrepreneurs never again have to worry about not making payroll or saying no to a business opportunity. That&rsquo;s how we power prosperity around the world.
 
 
 We are seeking a Senior Business Data Analyst as part of our growing Risk Analytics and Insight team within Intuit&rsquo;s Global Solutions Business Group (GSBG). Be at the cutting edge of the Fintech industry - the GSBG division moves tens of billions of dollars in money for Intuit&rsquo;s customers.
 
 
 The successful analyst will work across functions (Fraud &amp; Risk Operations, Data Science, Compliance, Marketing, Product, Finance, etc.) and use data to drive insights which help achieve Intuit Global Solutions Business Group&rsquo;s short and long-term business outcomes.
 
 
 We&rsquo;re looking for a candidate who will continue to build a strong analytics culture as part of our growing team. This role reports to the Senior Risk Analytics Manager of GBSG Insights and Experimentation as part of the broader GBSG Risk Policy &amp; Analytics team.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop compelling visualizations that crystallize business opportunities for stakeholders and leaders to make timely decisions.
 </li>
 <li>
 Design and run data driven tests and experiments that identify business opportunities and compare performance against company goals.
 </li>
 <li>
 Develop compelling, intuitive dashboards and visualizations to monitor performance and inform timely decisions.
 </li>
 <li>
 Communicate insights clearly and concisely to both technical and non-technical stakeholders, including executive leadership.
 </li>
 <li>
 Collaborate with stakeholders and analysts to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders
 </li>
 <li>
 Analyze big data to mine massive scale transactional data to improve the fraud and credit risk mitigation strategies and design new risk-adjusted policy proposals.
 </li>
 <li>
 Investigate root causes of anomalous risk behaviors or performance gaps, and recommend timely corrective actions.
 </li>
 <li>
 Identify and address gaps in data quality, availability, or structure that limit measurement, experimentation, or insight generation.
 </li>
 <li>
 Build and maintain clean, reliable data pipelines to support monitoring and experimentation at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Strong analytical ability and proven business acumen with at least 3 years of relevant experience. Experience in Financial Services or Fintech preferred.
 </li>
 <li>
 Advanced SQL and coding skills to perform data segmentation and aggregation from scratch.
 </li>
 <li>
 Proficiency in data visualization tools (e.g., Quicksight, Tableau, Qlik) and experience building dashboards for monitoring and decision support.
 </li>
 <li>
 Knowledge of statistical analysis including A/B and multivariate testing.
 </li>
 <li>
 Proven track record of influencing cross-functional team decisions through data-driven recommendations.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to synthesize complex data into clear narratives.
 </li>
 <li>
 High degree of ownership, accountability, and empathy in cross-functional team settings.
 </li>
 <li>
 Experience working with Key Performance Indicator (KPI or OKR) metrics.
 </li>
 <li>
 Bachelor&rsquo;s Degree in Economics, Science, Math or other Quantitative Field, or commensurate experience.
 
 
 </li>
 </ul>
 Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit&reg;: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:
 
 
 New York: $140,500 - 190,000
</div>

Senior Fraud and Risk Analyst

Ricciardi Group

As an Associate Digital Strategist at The Ricciardi Group, you will join our client teams in a pivotal, client-facing role, specializing in B2B demand generation. This is your opportunity to rapidly advance your career by working closely with a Senior Digital Strategist, gaining hands-on exposure across the full marketing spectrum&mdash;from brand positioning to detailed campaign activation. You will be an integral part of driving successful digital outcomes for our client portfolio.Your primary focus is execution and operational leadership. You will take direct ownership of the core campaign mechanics: leading day-to-day project management, flawlessly setting up and managing digital campaigns, and delivering clear, incisive performance reporting and optimizations. This foundational role is dedicated to mastering the processes that ensure projects are delivered on time, on budget, and effectively translate strategy into measurable action.We require proven experience with B2B marketing principles. If you are passionate about digital marketing and eager to own the operational side of a demand generation strategy, this role offers a clear and accelerated growth path within the agency.What you&rsquo;ll do.You will be directly responsible for all digital initiatives on the accounts that you work for, from project management to execution based on the clients&rsquo; needs. This includes supporting strategic development to creative activation across all marketing channels, but primarily through digital and social channels; communicating and collaborating with client, creative, strategy and digital teams to keep us on point, on budget and on time.You will be the primary lead on the operational tasks, campaign setup, and reporting, while supporting the Senior Strategist on all other tasks.Campaign Management &amp; Reporting:<ul><li>Directly responsible for maintaining and owning the media plan document, ensuring accuracy across budget, flight, and channel allocation.</li><li>Directly responsible for the setup, deployment, and operational management of paid digital advertising campaigns across channels (e.g., LinkedIn, Google Ads, programmatic).</li><li>Own the process of trafficking campaign assets (e.g., creative files, tracking tags) to appropriate ad platforms and vendors, ensuring all assets are launched correctly and on time.</li><li>Execute in-flight optimizations and pull data for regular campaign reporting, translating raw data into actionable insights for the Senior Strategist.</li><li>Support the Senior Strategist in reviewing and refining the overall media strategy and assist in the development of client-facing communications related to campaign performance.</li></ul>Web Analytics &amp; Data:<ul><li>Manage client web analytics platforms (e.g., Google Analytics, Google Tag Manager) to support regular and ad-hoc performance reporting.</li></ul>Marketing Automation (MarTech):<ul><li>Directly responsible for the operational tasks within client Marketing Automation platforms (e.g., HubSpot, Marketo, Pardot). This includes audience segmentation, data hygiene, campaign setup (ad-hoc emails, landing pages), and supporting the development of nurture and scoring programs.</li></ul>Search Engine Optimization<ul><li>Assist the Senior Strategist with technical SEO audits, keyword research and ongoing content-based SEO recommendations.</li></ul>Social Media:<ul><li>Assist with the management of client social media presence, including audience research, scheduling and posting content, social listening, and preparing performance reports.</li></ul>Project Leadership:<ul><li>Lead the day-to-day project management: prepare and manage detailed project timelines, ensure internal and client meetings are set up efficiently, and distribute clear meeting recaps with defined next steps.</li></ul>Client &amp; Internal Communications:<ul><li>Support the preparation and refinement of client materials (presentations, emails, reports).</li><li>Act as a key support in preparing initial briefing documents, coordinating stakeholder interviews, conducting competitive analysis, and compiling industry trend research to inform the strategic approach.</li></ul>Operational Excellence:<ul><li>Conduct daily client news scans relevant to their business and industry.</li><li>Maintain and organize all client files and account resources (e.g., Google Drive) to ensure account continuity and efficiency.</li></ul>Pay: $67,000.00 - $75,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Flexible spending account</li><li>Health insurance</li><li>Health savings account</li><li>Paid time off</li><li>Vision insurance</li></ul>Application Question(s):<ul><li>Are you proficient in HubSpot CRM?</li><li>Are you proficient in Digital Campaign Management?</li></ul>Experience:<ul><li>B2B Digital Marketing: 2 years (Preferred)</li></ul>Ability to Commute:<ul><li>New York, NY 10014 (Preferred)</li></ul>Work Location: Hybrid remote in New York, NY 10014

Associate, Digital Strategy

Elliot Partnership

<div><div><ul><li>Senior Systems Engineer &ndash; Identity &amp; Linux Security
</li><li>New York (Hybrid)
</li><li>Highly competitive compensation package 
</li></ul> 
Are you a builder with deep expertise in Linux internals and Identity architecture? An elite technology-driven firm is seeking a Senior Systems Engineer to take ownership of its critical authentication platforms. This is not a standard maintenance role; it is an opportunity to architect the bridge between complex legacy infrastructure and modern identity security in a high-performance computing environment. 
 
Responsibilities: 
 
Identity Architecture Modernization &ndash; Redesign and modernize the firm&rsquo;s internal PKI and authentication services, bridging the gap between Kerberos/Active Directory and modern OIDC/OAuth standards. 
 
Linux Security Engineering &ndash; Secure the global Linux fleet by designing solutions for insider risk monitoring, privileged access (PAM), and process-level identity. 
 
Deep-dive Troubleshooting &ndash; Go beyond standard admin tasks to debug complex OS, kernel, and filesystem issues using advanced diagnostic tools (strace, perf, eBPF). 
 
Tooling &amp; Automation &ndash; Design and build proprietary security tooling and automation frameworks from scratch using Python. 
 
 
What you&rsquo;ll need: 
 
<ul><li>10+ years of security focused systems engineering experience.
</li><li>You possess the rare combination of deep Linux expertise AND architectural knowledge of Identity protocols (Kerberos, PKI, OIDC).
</li><li>Linux internals - you understand the OS at a deep level (Kernel, Systemd, Filesystems) and know how to harden it.
</li><li>You don't just use vendor tools; you write code (Python) to solve unique scalability and security challenges.
</li><li>You can effectively communicate complex architectural trade-offs to both software engineers and senior leadership. 
</li></ul> 
 
Why join them? 
 
<ul><li>Solve the hardest problems by working on the complex intersection of legacy scale and modern security.
</li><li>Join a team that values first-principles thinking and academic rigor.
</li><li>Take direct architectural ownership of the systems that secure the firm's core assets.
</li><li>If you&rsquo;re a visionary engineer who loves rabbit holes and building foundational systems, we&rsquo;d love to hear from you!</li></ul></div></div>

Senior Infrastructure Engineer (Linux & Identity)

CPS, Inc.

<div>
 
 Senior Python Software Engineer
 
 
 
 We&rsquo;re looking for a Senior Python Engineer to join a small, high-performing engineering team building production-quality software systems that power critical applications. This role is ideal for someone with a strong computer science background, a track record of delivering robust, scalable code, and a passion for solving challenging engineering problems.
 
 
 Our environment is cloud-native and Kubernetes-based, with a focus on modern development practices, continuous integration/deployment, and high reliability at scale. Engineers on this team contribute to both product direction and technical strategy, and are expected to engage deeply in design discussions, code reviews, and best practices.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain high-quality production Python software.
 </li>
 <li>
 Apply strong computer science principles to develop efficient, scalable, and maintainable systems.
 </li>
 <li>
 Contribute to system architecture and technical design decisions.
 </li>
 <li>
 Write code that is well-tested, well-documented, and easy to understand.
 </li>
 <li>
 Collaborate closely with teammates to solve problems, review code, and continuously improve engineering practices.
 </li>
 <li>
 Provide guidance and mentorship to other engineers when needed.
 </li>
 </ul>
</div>

Python Software Engineer

Explore 454+ Senior engineer data analytics in New York this December. Find roles across top companies and apply now to boost your career.