data analyst

software engineer

senior data engineer

associate data analyst

data & cloud engineer

data infrastructure engineer

PJT Partners

<div>PJT Partners is a global advisory-focused investment bank. Our team of senior professionals delivers a wide array of strategic advisory, shareholder advisory, restructuring and special situations and private fund advisory and placement services to corporations, financial sponsors, institutional investors and governments around the world. We offer a unique portfolio of advisory services designed to help our clients achieve their strategic objectives. We also provide, through PJT Park Hill, private fund advisory and fundraising services for alternative investment managers, including private equity funds, real estate funds and hedge funds.
From the beginning, PJT Partners has firmly believed that having the best people is key to building an enduring franchise. Our perspective was, and remains, that a great team brings in both top tier clients and appeals to a wide-range of diverse, talented colleagues. Fostering an inclusive culture, which welcomes differing perspectives and beliefs, enables us to provide the best advice and insights to our clients.
To learn more about PJT Partners, please visit our website at www.pjtpartners.com .
<h1 class="jobSectionHeader">Responsibilities
</h1>The PJT Partners Technology team is responsible for creating and continuously improving a robust and secure technology foundation that supports the firm&rsquo;s business activities. Our Technology team is seeking a Data and AI Infrastructure Engineer to build secure, scalable platforms and pipelines that power the firm&rsquo;s AI initiatives. This is a platform engineering role &mdash; the focus is building the infrastructure and developer tooling that enables teams to rapidly develop and deploy AI-powered Python applications using Azure AI Foundry and the Claude API (Anthropic), not training custom models. You will work with data engineers, application developers, architects, and business stakeholders to deliver AI-ready infrastructure that meets the firm&rsquo;s security and compliance requirements.
Responsibilities include:
AI Platform &amp; Developer Infrastructure
<ul><li>Design, build, and operate the firm&rsquo;s AI platform, enabling developers to build and deploy Python-based AI applications;
</li><li>Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls;
</li><li>Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring;
</li><li>Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm.
</li></ul>Data Infrastructure &amp; Pipelines
<ul><li>Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs;
</li><li>Implement vector search and document retrieval infrastructure (Azure AI Search) to support RAG-based applications;
</li><li>Manage structured and unstructured data stores including Azure Data Lake, Azure SQL, and Cosmos DB.
</li></ul>Cloud Infrastructure &amp; DevOps
<ul><li>Provision and maintain secure, scalable infrastructure on Azure (primary) and AWS using Infrastructure-as-Code (Terraform or Bicep);
</li><li>Build and maintain CI/CD pipelines for AI application deployment via Azure DevOps or GitHub Actions;
</li><li>Manage containerized workloads using Docker and Kubernetes (AKS) for AI application hosting and API services;
</li><li>Drive Secure DevOps practices including secrets management, dependency scanning, and policy enforcement.
</li></ul>Security, Governance &amp; Compliance
<ul><li>Implement data access controls, encryption, and audit logging aligned with SEC and FINRA requirements;
</li><li>Design MNPI data segregation controls and enforce AI governance guardrails including content filtering and usage logging for all AI API integrations;
</li><li>Manage identity and access for AI platforms using Azure Entra ID, RBAC, and managed identities;
</li><li>Collaborate with Compliance and Legal to ensure AI usage policies are enforced at the infrastructure level.
</li></ul>Collaboration &amp; Documentation
<ul><li>Produce architecture designs, runbooks, and technical documentation for all platform components;
</li><li>Support application developers building AI-powered applications with platform guidance and troubleshooting;
</li><li>Partner with solution architects, data engineers, and business stakeholders to translate requirements into infrastructure.
</li></ul><h1 class="jobSectionHeader">Qualifications
</h1>PJT Partners seeks to hire individuals who are highly motivated, intelligent and have demonstrated excellence in prior endeavors. In addition, qualified candidates will possess the following:
<ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, or related field (Master&rsquo;s degree is a plus);
</li><li>8+ years in infrastructure engineering, cloud platform engineering, or data engineering;
</li><li>Demonstrated experience building shared platforms or developer services in an enterprise environment;
</li><li>Azure expertise: Azure AI Foundry, Azure Data Factory, Azure Databricks, AKS, Azure API Management, Azure Key Vault, Azure Entra ID;
</li><li>Strong Python skills: backend services, REST APIs (FastAPI or Flask), and automation scripting; PowerShell for infrastructure tasks;
</li><li>Infrastructure-as-Code: Terraform and/or Bicep; container orchestration with Docker and Kubernetes;
</li><li>Experience integrating LLM APIs (Anthropic Claude, Azure OpenAI) in production including token cost management and observability;
</li><li>RAG pipeline experience: vector search (Azure AI Search or pgvector), document processing, and retrieval patterns;
</li><li>Familiarity with LLM application frameworks such as LangChain or Semantic Kernel;
</li><li>Cloud security fundamentals: RBAC, managed identities, private endpoints, Key Vault, and network segmentation;
</li><li>DevSecOps practices: secrets management, SAST tooling, and secure CI/CD pipeline design;
</li><li>Familiarity with AWS (Bedrock, S3, IAM) and agentic application frameworks (AutoGen, LangGraph);
</li><li>Experience with Microsoft Fabric, Databricks Unity Catalog, or Azure Synapse;
</li><li>Azure certifications: AI-102, DP-203, or AZ-305;
</li><li>Prior experience in investment banking or regulated financial services environments.
</li></ul>Expected annualized base salary of $175,000 to $215,000.
This range represents the low and high ends of the expected annualized base salary for this position. The specific base salary received by any employee will be informed by a number of factors, including but not limited to, role level and scope, location, candidate&rsquo;s relevant qualifications, skills and experience.
Base salary is one component of PJT Partners&rsquo; compensation structure. In addition to base salary, PJT Partners&rsquo; compensation structure may include additional rewards, incentives and benefits, including but not limited to, a discretionary bonus component.
PJT is an equal opportunity employer. We do not discriminate on the basis of, and will consider all qualified applicants for employment without regard to race, color, religious creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity expression, disability, medical condition, genetic information or predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other category protected by law. PJT Partners also complies with all applicable laws with regard to providing reasonable accommodation of disabilities to applicants. For more information or to request an accommodation, please contact Human Resources.
California Applicants: PJT Partners will consider for employment qualified applicants with arrest and/or conviction records in a manner consistent with applicable law including, but not limited to, the San Francisco Fair Chance Ordinance and/or Los Angeles Fair Chance Initiative for Hiring Ordinance.
Applicant Privacy Notice:
View our Applicant Privacy Notice https://info.pjtpartners.com/PJT_Global_Applicant_Privacy_Notice here. If you are a California resident, please refer to our California Applicant Privacy Notice https://info.pjtpartners.com/California_Applicant_Privacy_Notice for further information. 
 
*In order to be considered, please ensure your resume/CV is submitted in PDF format.</div>

Vice President - Technology (Data & AI Infrastructure Engineer)

Fanatics

<div>The Role

As a Staff Software Engineer on the Streaming Data Platform team in Fanatics Ecosystem, you will design, build, and operate the backend services that sit at the core of our streaming infrastructure &mdash; the systems that ingest, process, and deliver data to consumers across the company.

This is a hands-on technical leadership role. You'll write code, design systems, mentor engineers, and shape how the team builds and operates software. The right person has built streaming infrastructure before and knows what it takes to keep it running well at scale.

Responsibilities
<ul>
<li>Design and build backend services that power our streaming data infrastructure, including ingestion, processing, and delivery to downstream systems.</li>
<li>Drive large, multi-milestone projects from idea to production, ensuring they deliver outcomes that matter to the business.</li>
<li>Set technical direction for the team: architecture, code quality, patterns, and tooling.</li>
<li>Partner with leadership on roadmap and planning &mdash; you'll have a voice in what we build and why.</li>
<li>Collaborate with platform, data, and product teams to design service boundaries, APIs, and data contracts.</li>
<li>Own the test strategy for complex areas and push the team toward better testing habits and testable designs.</li>
<li>Build observability, reliability, and resilience into our systems and hold the team to that standard.</li>
<li>Coordinate across engineers and teams to deliver cross-cutting initiatives.</li>
<li>Help diagnose and resolve performance bottlenecks related to ingestion, throughput, and distributed system behavior.</li>
<li>Mentor engineers on craft, ownership, and collaboration.</li>
<li>Participate in on-call rotations, drive incident resolution, and make sure retros lead to lasting fixes.</li>
<li>Be open to occasional travel to Fanatics offices for meetings, events, or team gatherings.</li>
</ul>
Technical Environment
<ul>
<li>Long-lived backend services (Go)</li>
<li>Event-driven and streaming data systems (Kafka, Kafka Connect)</li>
<li>Stream processing frameworks (e.g., Kafka Streams, Flink)</li>
<li>Schema management and data contracts</li>
<li>Observability and monitoring for streaming systems</li>
<li>Infrastructure as code (Terraform)</li>
</ul>
Qualifications
<ul>
<li>7 +years of experience building and operating backend services at scale, with a track record of leading large technical initiatives.</li>
<li>Strong experience with Go.</li>
<li>Hands-on experience with Kafka or comparable streaming platforms. You've built and operated streaming infrastructure in production, including pipeline design, throughput tuning, and operational concerns like monitoring and incident response.</li>
<li>Familiarity with the broader streaming ecosystem &mdash; tools like Flink, Spark, or Iceberg, and patterns around partitioning, data skew, and event-driven architectures.</li>
<li>Ability to design whole systems and services with clear boundaries, well-defined APIs, and operational readiness from the start.</li>
<li>Experience driving multi-milestone projects that span teams and require cross-functional coordination.</li>
<li>Track record of influencing technical roadmaps and connecting engineering work to business strategy.</li>
<li>History of mentoring engineers and raising the level of engineering practice around you.</li>
<li>Solid understanding of distributed systems, service-oriented architectures, and system integrations at scale.</li>
<li>Clear communicator who can talk about technical work with both engineers and non-engineers.</li>
<li>Comfortable in a fast-moving environment where priorities shift and decisions happen quickly.</li>
<li>Experience with schema management, data contracts, or data governance patterns is a plus.</li>
<li>Experience building shared libraries, frameworks, or developer-facing tooling for streaming consumers is a plus.</li>
<li>Experience contributing to open-source data infrastructure or streaming projects is a plus.</li>
<li>Familiarity with infrastructure as code tools such as Terraform is a plus.</li>
</ul>
If you possess some of these skills but not all of them, we still encourage you to apply!

The salary range for this position is $180,500 to $237,500, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Remote employee may also be eligible for a home office setup stipend.<div>
Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting &amp; Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.</div></div>

Staff Software Engineer - Streaming Data Platform

SpotOn

<div>About SpotOn
We&rsquo;re not just building restaurant tech, we&rsquo;re giving independent restaurants the tools to compete and win. From our award-winning point-of-sale to AI-powered profit tools, everything we do helps operators boost profit, work smarter, and keep their best people. And every solution is backed by real humans who actually give a sh*t about helping restaurants succeed.<ul><li>
Named the #1 Restaurant POS by G2 (Fall 2025), based on ratings from real users</li><li>
Rated the top-rated point-of-sale (POS) for restaurants, bars, retail, and small businesses by Capterra users</li><li>
Awarded Great Places to Work and Built In&rsquo;s Best Workplaces for multiple years running</li></ul>
We move fast, care hard, and fight for independent restaurant operators to do what they love, and love doing it. If you&rsquo;re looking to make an impact with heart and hustle, SpotOn is the place for you.
As a Senior Data Engineer on our Data and Reporting team, you'll be responsible for designing, building, and maintaining high-performance, scalable data systems and data infrastructure. You will collaborate closely with cross-functional teams, including product management, engineering leadership, to enhance existing platforms and develop innovative solutions for complex data-driven applications.
On a daily basis you will:<ul><li>
Architect, develop, and maintain scalable software solutions for our reporting and analytics platforms.</li><li>
Design and implement data pipelines, ETL processes, and integrations using ClickHouse, Streamkap, PostgreSQL, Snowflake, MongoDB, Kafka, and AWS.</li><li>
Write and Optimize SQL queries that drive merchant reporting outcomes and improve database performance across large-scale, distributed systems.</li><li>
Contribute to defining and refining system architectures, including cloud infrastructure and containerization strategies.</li><li>
Implement robust data observability monitoring, logging, and alerting solutions using tools like Grafana, Metaplane, and OpenTelemetry.</li><li>
Mentor junior and mid-level engineers, promoting technical excellence and best practices.</li></ul>
What skill are we looking for?<ul><li>
5+ years of professional software and data engineering experience.</li><li>
Proficient in Python; experience with GO and TypeScript or JavaScript is highly beneficial.</li><li>
Extensive experience with databases and data warehouses such as ClickHouse, PostgreSQL, and MongoDB.</li><li>
Strong understanding of real-time data streaming and messaging systems, especially Kafka.</li><li>
Experience designing and implementing robust ETL pipelines and handling large-scale data migrations.</li><li>
Familiarity with cloud services, especially AWS, including IAM roles, S3, RDS, and MSK.</li><li>
Proven ability in performance tuning and optimization for high-volume, low-latency data systems.</li><li>
Experience applying core data observability principals to create a transparent and resilient data platform.</li><li>
Comfortable with containerization technologies such as Docker and orchestration tools like Kubernetes.</li><li>
Strong experience with infrastructure as code (IaC) tools and best practices.</li><li>
Deep understanding of software development best practices, CI/CD pipelines, and DevOps methodologies.</li></ul> 
Perfect candidate also has:<ul><li>
Experience in building frontend components or familiarity with React and Next.js.</li><li>
Knowledge of monitoring and observability tools, including Grafana and OpenTelemetry.</li><li>
Background or interest in data analytics, machine learning applications, and causal analysis.</li><li>
Experience in the restaurant or hospitality technology sector.</li></ul>
We will never ask candidates to pay fees, purchase equipment, or share sensitive personal or financial information during the hiring process. All legitimate communication from our recruiting team will come from an official company email address (@spoton.com). If something seems suspicious, please contact us at careers@spoton.com.
SpotOn is an equal employment opportunity employer. Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.
SpotOn is an E-Verify company.
Compensation Range: $150K - $190K</div>

Senior Data Engineer

FanDuel

<div>THE POSITION 
Our roster has an opening with your name on it

We are looking for a Data Engineer to join our growing data engineering team and help build the pipelines and infrastructure that power analytics, machine learning, and business decision-making across the company. In this role, you'll contribute to the design, development, and maintenance of reliable data systems while collaborating with stakeholders to support high-impact data use cases.

The ideal candidate is a strong technical contributor who enjoys working with data at scale, solving practical problems, and continuously learning in a fast-paced environment.

If you're excited by this challenge and want to work within a dynamic company, then we'd love to hear from you.

In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs. 

THE GAME PLAN 
Everyone on our team has a part to play

Build &amp; Maintain Data Pipelines
<ul>
<li>Design, build, and maintain scalable batch and streaming data pipelines to support analytics and business operations.</li>
<li>Write clean, efficient, and well-documented code using tools like Python, SQL, and Spark.</li>
<li>Ensure data is reliable, accurate, and delivered in a timely manner</li>
</ul>
Collaborate Across Teams
<ul>
<li>Work with data analysts, data scientists, and product managers to understand requirements and deliver actionable data solutions</li>
<li>Translate business questions into engineering tasks and contribute to technical planning.</li>
<li>Participate in code reviews, sprint planning, and retrospectives as part of an agile team.</li>
</ul>
Data Quality &amp; Operations
<ul>
<li>Monitor data pipelines and troubleshoot issues in a timely, systematic manner</li>
<li>Implement data quality checks and contribute to observability and testing practices</li>
<li>Document data sources, transformations, and architecture decisions to support long-term maintainability</li> 
</ul>
THE STATS 
What we're looking for in our next teammate
<ul>
<li>2&ndash;4 years of experience in data engineering, analytics engineering, or software engineering with a focus on data.</li>
<li>Strong SQL skills and familiarity with at least one programming language (e.g., Python, Java, or Scala).</li>
<li>Hands-on experience with modern data tools such as Databricks,Airflow, dbt, Spark, or Kafka.</li>
<li>Understanding of data modeling concepts, data warehousing, and ETL/ELT best practices.</li>
<li>Experience working with cloud-based data platforms (AWS, GCP, or Azure).</li>
</ul>
Preferred Qualifications
<ul>
<li>Experience supporting BI, analytics, or data science teams.</li>
<li>Familiarity with version control, CI/CD, and collaborative development workflows.</li>
<li>Exposure to data governance, privacy, or compliance practices.</li>
<li>Eagerness to learn new technologies and contribute to the growth of the team.</li> 
</ul>
ABOUT FANDUEL

FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America's #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry's unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.

In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.

The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company's affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.

FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT). 

PLAYER BENEFITS 
We treat our team right

We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here: FanDuel Total Rewards. *Benefits differ across location, role, and level.

FanDuel is an equal opportunities employer and we believe, as one of our principles states, &quot;We are One Team!&quot;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included. 

The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.

FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. 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 email Benefits@fanduel.com.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. 


#LI-Hybrid</div>

Data Engineer

Saragossa

<div>
 
 
 Want to build AI data infrastructure that processes half a billion patient encounters a year?
 
 
 
 
 
 
 An AI healthcare company &mdash; backed by one of the largest healthcare platforms in the U.S. &mdash; is hiring Data Platform Engineers at multiple levels (Mid to Staff) for its NYC-based team (on-site 3 days per week. This is startup-level ownership with enterprise-scale distribution: your systems will power production workflows across 95 of the top 100 U.S. health systems from day one.
 
 
 
 
 
 The team is building an AI-native clinical and financial automation platform &mdash; agentic AI that reasons over full medical records, payer logic, and financial workflows to automate medical coding, billing, and follow-up. The data platform team owns the foundations that make this possible: the ingestion pipelines, backend schemas, and APIs that feed both the AI engine and the user-facing application. You won't just be building plumbing &mdash; you'll have full visibility into the business impact of what you ship, including the economic outcomes your work drives across the platform.
 
 
 
 
 
 
 The stack:
 
 Python, Go, or Java &middot; Spark &middot; Kafka &middot; Airflow &middot; Terraform &middot; Docker &middot; Kubernetes &middot; FHIR/HL7 (bonus)
 
 
 
 
 
 You are qualified if you bring at least 5 years of software engineering experience, with a minimum of 2 years building high-throughput data pipelines in production. You are comfortable owning infrastructure end-to-end &mdash; Terraform, Docker, and Kubernetes are familiar territory. You have hands-on experience with Spark, Airflow, or Kafka at real scale, and you understand what it takes to keep complex pipelines observable and reliable. You have worked on the data backend of an ML system or a production SaaS application, and you know how to instrument systems so problems surface before users feel them. You come from a technically rigorous environment &mdash; whether that's a tier-one tech company, an AI lab, or a high-growth startup doing genuinely interesting work &mdash; and you can speak to both what you built and the business outcome it drove.
 
 
 
 
 
 
 Compensation:
 
 $180,000&ndash;$260,000 base (level dependent) + yearly bonus + long-term incentives + comprehensive benefits
 
 
 
 
 
 If this sounds like you, apply now!
 
</div>

Software Engineer, Data Platform - Up to $260k base + bonus

Realign

<div>New York, New York 10001 Posted March 12th, 2026
 <div></div>Looking for more job opportunities? Click here!</div>
 <div>Job Type: Full Time
Job Category: IT
Job Description
<div>Job Title: Java Fullstack Engineer 
Location &ndash; New York (Onsite) 
Fulltime</div><div></div><div> 
Job Description</div><div>
Must Have Technical/Functional Skills</div><ul><li>Angular, React, NodeJS, Python, JavaScript</li><li>Familiarity with UI/UX Design and any database</li><li>Architect exp in designing the new applications/solutions</li></ul><div></div><div> 
Roles &amp; Responsibilities</div><div>
1. Architecture Ownership and Vision</div><ul><li>Oversee the complete architecture across front end, back end, APIs, data, and integrations.</li><li>Define reference architectures, technology standards, and design principles.</li><li>Make long-term decisions balancing scalability, security, cost, and speed while anticipating future needs and designing for extensibility.</li></ul><div></div><div> 
2. Deep Full-Stack Technical Expertise</div><ul><li>Front End: Possess a strong command of modern frameworks like React and Typescript. Design performance, accessible, and secure UI architectures with Material UI components, setting standards for complex state management, authentication flows, and UX consistency.</li><li>Back End: Architect scalable services using Node.js or Python, design REST and event-driven APIs, and apply microservices patterns, resiliency, and fault tolerance.</li><li>Data Layer: Model relational and NoSQL databases using MongoDB or Postgres, and design data access, caching strategies, and data consistency models.</li></ul><div></div><div> 
3. Cloud, DevOps, and Platform Design</div><ul><li>Architect cloud-native solutions on AWS, Azure, or GCP.</li><li>Design CI/CD pipelines, infrastructure as code, and deployment strategies while building for high availability, disaster recovery, and cost optimization.</li><li>Embed observability, logging, and monitoring by design.</li></ul><div>
4. Security and Compliance by Design</div><ul><li>Apply secure coding and architecture principles.</li><li>Design authentication, authorization, and data protection models.</li><li>Ensure compliance with enterprise and regulatory standards.</li></ul><div></div><div> 
5. AI Integration &amp; Next-Gen Technologies</div><ul><li>Proficient with AI coding assistants, knowledgeable in AI workflow automation and intelligent data processing, and experienced with real-time technologies and message queues.</li></ul>
Coordinate with teams, stakeholders to develop insightful dashboards and interactive tools
Required Skills
DEVOPS ENGINEER</div>

Java Fullstack Engineer-6

The Value Maximizer

<div>
 
 Role: Senior Quality Engineer with BDD
 
 
 Location: New York/Fort Mill SC
 
 
 Mode: Hybrid
 
 
 Duration: Full time
 
 
 
 
 Job Description
 
 We are seeking a skilled Quality Engineer with hands-on experience in Behavior-Driven Development (BDD) to ensure the quality and reliability of our data ingestion and pipeline solutions. The ideal candidate will collaborate with cross-functional teams to define, implement, and automate BDD test scenarios for complex data workflows.
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collaborate with product owners, data engineers, and business analysts to define acceptance criteria and BDD scenarios for data ingestion and pipeline processes
 </li>
 <li>
 Design, develop, and maintain automated BDD test suites using frameworks such as Behave, Cucumber, pytest-bdd and Playwright for Ui validations
 </li>
 <li>
 Validate data integrity, transformation logic, and end-to-end data flow from source to target systems
 </li>
 <li>
 Identify, document, and track defects; work with development teams to resolve issues
 </li>
 <li>
 Integrate automated tests into CI/CD pipelines for continuous quality assurance
 </li>
 <li>
 Analyze test results, generate reports, and communicate findings to stakeholders
 </li>
 <li>
 Contribute to test data management and environment setup for data pipeline testing
 </li>
 <li>
 Stay current with industry best practices in data quality, test automation, and BDD methodologies
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Engineering, or related field
 </li>
 <li>
 5+ years of experience in software quality assurance or test automation, preferably in data engineering environments
 </li>
 <li>
 Strong experience with BDD frameworks (Behave, Cucumber, pytest-bdd, Playwright) and Gherkin syntax
 </li>
 <li>
 Experience with Implementing Test Runners such as TestNG, Selenium WebDriver to run tests and document reporting and results
 </li>
 <li>
 Proficiency in Python, Java or another programming language used for test automation
 </li>
 <li>
 Solid understanding of ETL/ELT processes, data ingestion, and data pipeline architectures
 </li>
 <li>
 Experience testing data transformations, data quality, and data integrity
 </li>
 <li>
 Familiarity with relational databases (SQL), data warehouses, and cloud data platforms (e.g., AWS Glue) and Snowflake
 </li>
 <li>
 Experience with CI/CD tools (e.g., Jenkins, GitHub Actions)
 </li>
 <li>
 Excellent analytical, problem-solving, and communication skills
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Knowledge of data governance and data privacy best practices
 </li>
 <li>
 Exposure to containerization (Docker, Kubernetes) and infrastructure as code.
 </li>
 </ul>
</div>

Senior Quality Engineer

Explore 1106+ Data infrastructure engineer in New York this March. Find roles across top companies and apply now to boost your career.