Data Engineer with Mongo DB Job at Realign (Charlotte, NC/Plano, TX)

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Senior Data Engineer

At Schwab, you’re empowered to make an impact on your career. Here, innovative t...

Location

United States , Southlake

Salary:

164000.00 - 183000.00 USD / Year

Charles Schwab

Expiration Date

June 22, 2026

Requirements

Bachelor of Science in Computer Science or a related field
The ideal candidate should have at least 7+ years of data engineering experience, 5+ years development experience and 3 years or more experience with Postgres database management. The candidate must additionally have experience with Oracle, SQL Server, MySQL, and/or Mongo DB
Must have worked as alongside a business vertical to establish nomenclature, data catalogs, provenance, standards, semantics and usage of data
Deep knowledge and experience with query development and optimization (SQL, PL/SQL, and No SQL)
Experience in performance-tuning database applications is a MUST
Experience in multi-datacenter DB installations, disaster recovery, and replication techniques
Advanced knowledge of database backup and recovery strategies
Ability to work in a Unix environment including an ability to write scripts in Unix
Provide database technical support for Technology and Application Delivery projects
Must have excellent written and verbal communications skills

Job Responsibility

Define and maintain conceptual, logical, and physical database models by working with business stakeholders and identifying optimal database specifications. Ensures that database design and system capabilities meet validated user requirements. Work with application development teams designing, developing, and enhancing database schemas, creating database views, helping with query optimization, and figuring out ways to increase application performance. Enhance and recommend solutions / processes for downstream impact analysis associated with data and/or model changes. Support, maintain and enhance applications (when necessary) written with ETL tools such as Informatica, Airflow, Snowflake and additionally support teams using custom ingestion and transformation processes. Collaborate with enterprise stakeholders to implement and adhere to data storage standards and maintain catalogs to facilitate consistent data management practices. Establish data quality metrics and monitoring processes to proactively identify and resolve data quality issues. Work with various IT departments within Schwab to perform preventive and corrective maintenance and incident management measures. Ensure database integrity, availability, and restorability by working with enterprise operational excellence teams. Evaluates the integration of new tools or technologies based on the capabilities of the existing infrastructure. Recommend solutions and help with functional and performance testing needs (mock data, test environments, data refresh processes). Responsible for coordination of planning the installation of operating systems, databases, applications, development upgrades, and new releases. Follow and develop database standards, guidelines, and best practices. Establishes standards, controls, and procedures to ensure data integrity and security. Perform capacity planning and projection for future growth. And finally, be able to work in an Agile Scrum environment

What we offer

401(k) with company match and Employee stock purchase plan
Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
Paid parental leave and family building benefits
Tuition reimbursement
Health, dental, and vision insurance
Medical, dental and vision benefits
401(k) and employee stock purchase plans
Tuition reimbursement to keep developing your career
Paid parental leave and adoption/family building benefits
Sabbatical leave available after five years of employment

Fulltime

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Node JS Mongo DB Developer

We are seeking an experienced Node JS Mongo DB Developer to join our development...

Location

India , Mumbai

Salary:

Not provided

HurixDigital

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Software Engineering, or a related field preferred
Minimum of 3 year of professional experience in Node JS development
2 years understanding of database concepts and experience working in Mongo DB
Solid experience in developing web applications using Node.js and MongoDB
Proficiency in JavaScript and familiarity with modern JavaScript frameworks
Strong understanding of asynchronous programming and event-driven architectures
Knowledge of RESTful APIs and experience in building and consuming them
Experience with version control systems (e.g., Git) and agile development methodologies
Familiarity with frontend technologies such as HTML, CSS, and JavaScript frameworks

Job Responsibility

Designing, implementing, and maintaining server-side applications using Node.js and MongoDB
Integration of user-facing elements developed by front-end developers with server side logic
Writing reusable, testable, and efficient code
Design and implementation of low-latency, high-availability, and performant applications
Implementation of security and data protection

Fulltime

Lead Software Engineer - Java Full Stack + GENAI

About this role: Wells Fargo is seeking a Lead Software Engineer In this role...

Location

India , Hyderabad

Salary:

Not provided

Wells Fargo

Expiration Date

July 19, 2026

Requirements

5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
5+ years of Software Engineering experience as a JAVA full stack developer (Spring, Spring Boot, Oracle, and UI)
Bachelors in engineering or equivalent with above mentioned years of experience
Experience with GenAI tools – Co Pilot
Strong analytical, verbal, written communication, and interpersonal skills
Strong knowledge on Agile Product development methodologies and collaborating with multiple stakeholders to deliver the quality products in a timely manner
Hands on experience on building microservices using Spring boot, Kafka, REST APIs, ORM, SQL/NO-SQL Databases
Strong knowledge and hands-on on designing highly secure, scalable, resilient, and performant applications using Java/J2EE design patterns, 12-factor app principles, cloud-native patterns, and practices
Deep understanding of application performance management, memory management, multi-threading patterns and practices
Strong knowledge of foundational skills: Data Structures, Design Patterns, OOPs, SOLID principles, and secure coding practices

Job Responsibility

Lead complex technology initiatives including those that are companywide with broad impact
Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines
Design, code, test, debug, and document for projects and programs
Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors
Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives
Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals
Lead projects, teams, or serve as a peer mentor

Fulltime

Application Development Senior Manager (Java Backend) - Vice President

The Applications Development Senior Manager is a senior management level positio...

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

12+ years of relevant experience in an Apps Development or systems analysis role in the Financial Service industry
Experience as an Applications Development Manager and in a senior-level Applications Development role
Extensive development expertise in building high-scaled and performant software platforms for data computation and processing
Possess extensive experience in Data Modelling and Data Architecture, with a specialized focus on designing and implementing robust data solutions
Strong analysis and design skills, design patterns, and a proven ability to understand complex requirements and translate them into technical designs and code
Strong hands-on coding experience with Core Java and the Spring framework (Core, Boot, etc.), with a focus on building Java microservices
Design and delivery experience with DevOps practices, including strong knowledge of build tools (Ant/Maven), continuous integration (Jenkins), SCM (Bitbucket), code quality analysis (SonarQube), and unit/integration testing frameworks (JUnit)
Strong knowledge of distributed messaging platforms (e.g., Apache Kafka, RabbitMQ) and experience with databases such as Oracle, Redis, and Mongo DB
Strong experience in application hosting and deploying cloud-native solutions using containerization (Docker) and orchestration platforms (Kubernetes, OpenShift)
Consistently demonstrates clear and concise written and verbal communication, with the ability to create and present professional, technically-sound architecture designs and high-level technical documentation

Job Responsibility

Manage one or more Applications Development teams in an effort to accomplish established goals
Utilize in-depth knowledge and skills across multiple Applications Development areas to provide technical oversight across systems and applications
Contribute to formulation of strategies for applications development and other functional areas
Provide expertise in area and advanced knowledge of applications programming and ensure application design adheres to the overall architecture blueprint
Collaborate closely with product owners, business units, and technology partners to ensure technology initiatives support evolving lending business needs and operational efficiency
Review and analyze proposed technical solutions for projects in accordance to the architectural guidelines
Hands on with Design, code, and implement application release projects as part of development team
Lead, track and drive the progress of the project deliverables (requirements, development, testing, operational readiness, data readiness etc.) to ensure timely delivery
Support as SME for regional business, operation and global technology teams
Partner with various teams – Investment Finance, Risk, Operations and Technology teams for solution planning and integration

Fulltime

Engineer Sr Analyst (Database)

Location

Singapore , Singapore

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong knowledge and experience in MongoDB installations, configurations, and administrations
Experience in replica set management
Strong knowledge and experience in configurating shared replica set with geo site replications
Experience in setting up replication with Arbitrary node configurations
Knowledge in Cluster migration from on prim to Mongo Atlas
Knowledge in Data migrations, Node addition, deletion, and cluster re-configurations
Knowledge in manage SSL, authentications, User roles and its privileges
Sound knowledge in As a Service Operations such as DB as a Service and Platform as a Service
knowledge in Cloud operating model, Multi cloud architecture, knowledge in migrating on-prim to multi cloud like AWS, GCP, Azure, and OCI
Knowledge in configuring, implementing, and supporting high availability (Replication) MongoDB cluster

Fulltime

Python Gen AI Developer

The Python Gen AI Developer role involves designing and implementing generative ...

Location

United States , Irving

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Overall 5+ years of experience
3+ Years of strong Python coding skills and python libraries (like NumPy, Pandas etc.)
2+ Years of solid understanding of generative AI models (GANs, VAEs, LLMs) and their underlying principles
Strong experience in using Neo4J, Mongo DB
Experience on any of the Python web development frameworks (FastAPI, Flask, Django)
Experience in working as part of scrum team with knowledge of related ceremonies
Strong communication skills
Understanding and experience on Gen AI implementations
Experience on Langchain, Vector DB, Embeddings or related frameworks
Experience on AI/ML model implementations using scikit learn, Tensor flow etc.

Job Responsibility

Design, implement, and optimize generative AI models using frameworks like TensorFlow, PyTorch, or JAX
Research and implement machine learning algorithms and tools
Integrate generative AI models into production systems and applications, often involving APIs, microservices, and cloud platforms (AWS, Azure, GCP)
Manage and direct research and development processes to meet the needs of our AI strategy
Develop machine learning applications in alignment with project requirements and business goals
Perform machine learning tests and statistical analysis to fine-tune the machine learning systems
Select appropriate datasets and data representation methods
Extend existing machine learning libraries and frameworks
Train systems and retrain as necessary
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions

Fulltime

Cloud Solution Architecture - Cloud Infrastructure

Location

India , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired
Bachelor’s degree in computer science, Information Technology, Engineering, Business, or related field AND 12+ years’ experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience
6+ years experience working in a customer-facing role (e.g., internal and/or external)
6+ years experience working on technical projects
5+ years of experience with SQL Server, SQL Server on Azure VMs, Azure SQL DB, and/or Azure SQL Managed Instance, Data Warehouses, Power BI
Experience in SQL Server at scale, on-premises to Azure migrations, complex SQL Server troubleshooting, performance tuning and optimization, scaling OLTP and OLAP workloads, and securing SQL Server on-premises or in Azure
Technical Certifications in Cloud (e.g., Azure, Azure Data Platform, Power BI, Amazon Web Services, Google, security certifications)
Technical experience and knowledge in Enterprise-scale technical experience with On-premises, cloud and hybrid infrastructures, architecture designs, migrations, and technology management
Advanced written, spoken English level with direct customer facing experience
Note: Microsoft is unable to sponsor a work visa for this role due to the nature of the role’s job duties

Job Responsibility

Develop relationships with key customer IT and business decision makers, to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value
Understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor
Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners
Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging subject matter expertise
Apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where appropriate
Maintain technical skills and knowledge, keep up to date with market trends and competitive insights
collaborate and share with the AI technical community while educating customers on Azure platform
Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications
Drive Azure consumption through accurate and complete Azure Consumption Plans and support Unified/Factory delivery models
Lead technical workshops, build MVPs, and guide customers through production deployments

Fulltime

Manager, Software Engineering (Data Security)

Palo Alto Networks Data Security team is looking for a seasoned and accomplished...

Location

United States , Santa Clara

Salary:

165000.00 - 267500.00 USD / Year

Palo Alto Networks

Expiration Date

Until further notice

Requirements

8+ years of experience in highly technical roles in development of enterprise services, at large organizations or innovative startups
Extensive hands-on experience and working knowledge of security concepts -SaaS and Data Security, deep understanding of web protocols, integration with third party APIs and services
Experience with the agile process and leading software development teams involved with building out full stack products, deployed on the cloud at scale
Experience with building and delivering services and workflows at scale, leveraging microservices architectures
3+ years of experience managing software engineering teams
5+ years experience with cloud-based architectures (AWS/GCP experience preferred)
Hands-on programming experience in one or more of the following - Java, Golang, Python
5+ years of experience in cloud technologies like ElasticSearch, Redis, Kafka, Mongo DB, Spring Boot
Experience with full-stack development (Rest APIs, Databases, Serverless computing) of distributed cloud applications
Experience with Docker and Kubernetes or other container orchestration platforms

Job Responsibility

Lead the technology strategy for building out world class data security solutions, influencing critical decisions on technology, architecture, integration, and go to market
Drive a results-oriented culture with a strong focus on execution, quality, and speed
Lead cross-functionally with Product Management, Software, and Quality Engineering teams to deliver new security as a service offerings to the market in a timely fashion with excellent quality
Contribute to the design, architecture, process, and development discussions
Manage engineering teams that builds, designs, implements, and maintains cloud security infrastructure and platforms, owning e2e responsibilities of the solution
Develop a strong culture of diversity, intellectual curiosity, problem-solving, and openness
Work closely with customer support teams to improve end-customer outcomes
Be a strong mentor and coach to the team
Foster innovation in the organization
Ability to handle multiple competing priorities in a fast-paced environment

Fulltime

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Data Engineer with Mongo DB

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