Data engineer jobs in Scottsdale, AZ

We are seeking a Data Scientist to support advanced analytics and machine learning initiatives across the organization. This role involves working with large, complex datasets to uncover insights, validate data integrity, and build predictive models. A key focus will be developing and refining machine learning models that leverage sales and operational data to optimize pricing strategies at the store level. Day-to-Day Responsibilities Compare and validate numbers across multiple data systems Investigate discrepancies and understand how metrics are derived Perform data science and data analysis tasks Build and maintain AI/ML models using Python Interpret model results, fine-tune algorithms, and iterate based on findings Validate and reconcile data from different sources to ensure accuracy Work with sales and production data to produce item-level pricing recommendations Support ongoing development of a new data warehouse and create queries as needed Review Power BI dashboards (Power BI expertise not required) Contribute to both ML-focused work and general data science responsibilities Improve and refine an existing ML pricing model already in production Qualifications Strong proficiency with MS SQL Server Experience creating and deploying machine learning models in Python Ability to interpret, evaluate, and fine-tune model outputs Experience validating and reconciling data across systems Strong foundation in machine learning, data modeling, and backend data operations Familiarity with querying and working with evolving data environments

Hiring: Oracle Cloud Data Engineer / Technology Lead We're looking for a hands-on Oracle Cloud Data Engineer (Technology Lead) to drive OCI-based data engineering and Power BI analytics initiatives. This role combines technical leadership with active development in a high-impact data program. Location: Phoenix, AZ (Hybrid) Duration: 6+ Months (Contract) Work Authorization: USC & Green Card holders ONLY (Strict Requirement) Job Summary This role focuses on building scalable data pipelines on Oracle Cloud Infrastructure (OCI) while leading Power BI dashboard and reporting development. You'll apply Medallion Architecture, enforce data governance, and collaborate closely with business stakeholders. Utility industry experience is a strong plus. Must-Have (Non-Negotiable) Skills 8-10 years of experience in Data Engineering & Business Intelligence 3+ years of hands-on OCI experience Strong expertise in OCI Data Services, including: OCI Data Integration, OCI Data Flow, OCI Streaming Autonomous Data Warehouse, Oracle Exadata, OCI Object Storage Hands-on experience with Medallion Architecture (Bronze, Silver, Gold layers) Power BI expertise: dashboards, reports, DAX, Power Query, data modeling, RLS Strong coding skills in SQL, PL/SQL, Python Experience with Terraform, Ansible, and CI/CD pipelines Bachelor's or Master's degree in a related field Power BI Certification - Required Hands-on development is mandatory Key Responsibilities Design and implement secure, scalable OCI data pipelines Lead Power BI dashboard and reporting development Build inbound/outbound integration patterns (APIs, files, streaming) Implement Audit, Balance, and Control (ABC) frameworks Ensure data quality, governance, lineage, and monitoring Mentor engineers and BI developers Drive agile delivery and stakeholder collaboration 📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at ********************* OR Call us on *****************

Hybrid - 2-3 days on site Phoenix, AZ We're looking for a Data Engineer to help build the cloud-native data pipelines that power critical insights across our organization. You'll work with modern technologies, solve real-world data challenges, and support analytics and reporting systems that drive smarter decision-making in the transportation space. What You'll Do Build and maintain data pipelines using Databricks, Azure Data Factory, and Microsoft Fabric Implement incremental and real-time ingestion using medallion architecture Develop and optimize complex SQL and Python transformations Support legacy platforms (SSIS, SQL Server) while contributing to modernization efforts Troubleshoot data quality and integration issues Participate in proof-of-concepts and recommend technical solutions What You Bring 5+ years designing and building data solutions Strong SQL and Python skills Experience with ETL pipelines and Data Lake architecture Ability to collaborate and adapt in a fast-moving environment Preferred: Azure services, cloud ETL tools, Power BI/Tableau, event-driven systems, NoSQL databases Bonus: Experience with Data Science or Machine Learning Benefits Medical, dental, and vision from day one · PTO & holidays · 401(k) with match · Lifestyle account · Tuition reimbursement · Voluntary benefits · Employee Assistance Program · Well-being & culture programs · Professional development support

Job Title: Senior Data Engineer (PySpark / Python) Employment Type: Contract Must Have Skills py Spark, Python development , data engineer Hands on knowledge for py Spark, Hadoop, Python Github Backend API integration knowledge (JASON, REST) Certifications Needed : No (Good to have GCP certification) Top 3 responsibilities you would expect the Subcon to shoulder and execute Individual contributor Strong development experience and leading dev module Work with client directly

Echelix is a leading AI consulting company helping businesses design, build, and scale intelligent systems. We partner with organizations to make artificial intelligence practical, powerful, and easy to adopt. Our team blends deep technical skill with real-world business sense to deliver AI that drives measurable results. The Role We're looking for a Senior Data Engineer to architect, optimize, and manage database systems that power AI-driven solutions and enterprise applications. You'll lead the design of scalable, secure, and high-performance data infrastructure across cloud platforms, ensuring our clients' data foundations are built for the future. This role is ideal for database professionals who have evolved beyond traditional DBA work into cloud-native architectures, API-driven data access layers, and modern DevOps practices. You'll work with cutting-edge technologies like GraphQL, Hasura, and managed cloud databases while mentoring engineers on data architecture best practices. What You'll Do Design, tune, and manage PostgreSQL, SQL Server, and cloud-managed databases (AWS RDS/Aurora, Azure SQL Database/Cosmos DB) Architect and implement GraphQL APIs using Hasura or equivalent technologies for real-time data access Lead cloud database migrations and deployments across AWS and Azure environments Automate database CI/CD pipelines using tools like GitHub Actions, Azure DevOps, or AWS Code Pipeline Develop and maintain data access layers and APIs that integrate with AI and application workloads Monitor, secure, and optimize database performance using cloud-native tools (AWS CloudWatch, Azure Monitor, Datadog) Implement database security best practices including encryption, access controls, and compliance requirements Mentor engineers on database design, data modeling, and architecture best practices Requirements 5+ years of experience designing and managing production database systems Deep expertise in PostgreSQL and SQL Server, including performance tuning and query optimization Hands-on experience with cloud database services (AWS RDS, Aurora, Azure SQL Database, Azure Cosmos DB) Experience with GraphQL and API development, preferably with Hasura or similar platforms Strong background in database CI/CD automation and Infrastructure as Code (Terraform, CloudFormation, Bicep) Proficiency in scripting languages (Python, Bash) for automation and tooling Solid understanding of data modeling, schema design, and database normalization Strong communication and mentoring skills US citizen and must reside in the United States Nice to Have Experience with NoSQL databases (MongoDB, DynamoDB, Redis) Knowledge of data streaming platforms (Kafka, AWS Kinesis, Azure Event Hubs) Experience with data warehousing solutions (Snowflake, Redshift, Azure Synapse) Background in AI/ML data pipelines and feature stores Relevant certifications (AWS Database Specialty, Azure Database Administrator, PostgreSQL Professional) Why Join Echelix You'll join a fast-moving team that's shaping how AI connects people and data. We value curiosity, precision, and practical innovation. You'll work on real projects with real impact, not just proofs of concept.

Job Title : Data Governance Engineer Phoenix, AZ - Complete Onsite Full-Time Permanent Experience Required - 6+ Years Must Have Technical/Functional Skills Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. 2 - 5 years of Data Quality Management experience. Intermediate competency in SQL & Python or related programming language. Strong familiarity with data architecture and/or data modeling concepts 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. Collaborate with and influence product managers to ensure all new use cases are managed according to policies. Influence and contribute to strategic improvements to data assessment processes and analytical tools. Responsible for monitoring data quality issues, communicating issues, and driving resolution. Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. Subject matter expertise on multiple platforms. Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way.

Hi, We do have an job opportunity for Data Engineer Analyst role. Data Analyst / Data Engineer Expectations: Our project is data analysis heavy, and we are looking for someone who can grasp business functionality and translate that into working technical solutions. Job location: Phoenix, Arizona. Type - Hybrid model (3 days a week in office) Job Description: Data Analyst / Data Engineer (6+ Years relevant Experience with required skill set) Summary: We are seeking a Data Analyst Engineer with a minimum of 6 years in data engineering, data analysis, and data design. The ideal candidate will have strong hands-on expertise in Python and relational databases such as Postgres, SQL Server, or MySQL. Should have good understanding of data modeling theory and normalization forms. Required Skills: 6+ years of experience in data engineering, data analysis, and data design Your approach as a data analysis in your previous / current role, and what methods or techniques did you use to extract insights from large datasets Good proficiency in Python Do you have any formal training or education in data modeling? If so, please provide details about the course, program, or certification you completed, including when you received it. Strong experience with relational databases: Postgres, SQL Server, or MySQL. What are the essential factors that contribute to a project's success, and how do you plan to leverage your skills and expertise to ensure our project meets its objectives? Expertise in writing complex SQL queries and optimizing database performance Solid understanding of data modeling theory and normalization forms. Good communicator with the ability to articulate business problems for technical solutions. Key Responsibilities: Analyze complex datasets to derive actionable insights and support business decisions. Model data solutions for high performance and reliability. Work extensively with Python for data processing and automation. Develop and optimize SQL queries for Postgres, SQL Server, or MySQL databases. Ensure data integrity, security, and compliance across all data solutions. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Communicate effectively with stakeholders and articulate business problems to drive technical solutions. Secondary Skills: Experience deploying applications in Kubernetes. API development using FastAPI or Django. Familiarity with containerization (Docker) and CI/CD tools. Regards, Suhas Gharge

Role: Data Governance Engineer Experience Required - 6+ Years Must Have Technical/Functional Skills • Understanding of Data Management and Data Governance concepts (metadata, lineage, data quality, etc.) and prior experience. • 2 - 5 years of Data Quality Management experience. • Intermediate competency in SQL & Python or related programming language. • Strong familiarity with data architecture and/or data modeling concepts • 2 - 5 years of experience with Agile or SAFe project methodologies Roles & Responsibilities • Assist in identifying data-related risks and associated controls for key business processes. Risks relate to Record Retention, Data Quality, Data Movement, Data Stewardship, Data Protection, Data Sharing, among others. • Identify data quality issues, perform root-cause-analysis of data quality issues and drive remediation of audit and regulatory feedback. • Develop deep understanding of key enterprise data-related policies and serve as the policy expert for the business unit, providing education to teams regarding policy implications for business. • Responsible for holistic platform data quality monitoring, including but not limited to critical data elements. • Collaborate with and influence product managers to ensure all new use cases are managed according to policies. • Influence and contribute to strategic improvements to data assessment processes and analytical tools. • Responsible for monitoring data quality issues, communicating issues, and driving resolution. • Support current regulatory reporting needs via existing platforms, working with upstream data providers, downstream business partners, as well as technology teams. • Subject matter expertise on multiple platforms. • Responsible to partner with the Data Steward Manager in developing and managing the data compliance roadmap. Generic Managerial Skills, If any • Drives Innovation & Change: Provides systematic and rational analysis to identify the root cause of problems. Is prepared to challenge the status quo and drive innovation. Makes informed judgments, recommends tailored solutions. • Leverages Team - Collaboration: Coordinates efforts within and across teams to deliver goals, accountable to bring in ideas, information, suggestions, and expertise from others outside & inside the immediate team. • Communication: Influences and holds others accountable and has ability to convince others. Identifies the specific data governance requirements and is able to communicate clearly and in a compelling way. Interested candidates please do share me your updated resume to ******************* Salary Range - $100,000 to $120,000 per year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

About the Role We are seeking a highly skilled Databricks Data Engineer with strong expertise in modern data engineering, Azure cloud technologies, and Lakehouse architectures. This role is ideal for someone who thrives in dynamic environments, enjoys solving complex data challenges, and can lead end-to-end delivery of scalable data solutions. What We're Looking For 8+ years designing and delivering scalable data pipelines in modern data platforms Deep experience in data engineering, data warehousing, and enterprise-grade solution delivery Ability to lead cross-functional initiatives in matrixed teams Advanced skills in SQL, Python, and ETL/ELT development, including performance tuning Hands-on experience with Azure, Snowflake, and Databricks, including system integrations Key Responsibilities Design, build, and optimize large-scale data pipelines on the Databricks Lakehouse platform Modernize and enhance cloud-based data ecosystems on Azure, contributing to architecture, modeling, security, and CI/CD Use Apache Airflow and similar tools for workflow automation and orchestration Work with financial or regulated datasets while ensuring strong compliance and governance Drive best practices in data quality, lineage, cataloging, and metadata management Primary Technical Skills Develop and optimize ETL/ELT pipelines using Python, PySpark, Spark SQL, and Databricks Notebooks Design efficient Delta Lake models for reliability and performance Implement and manage Unity Catalog for governance, RBAC, lineage, and secure data sharing Build reusable frameworks using Databricks Workflows, Repos, and Delta Live Tables Create scalable ingestion pipelines for APIs, databases, files, streaming sources, and MDM systems Automate ingestion and workflows using Python and REST APIs Support downstream analytics for BI, data science, and application workloads Write optimized SQL/T-SQL queries, stored procedures, and curated datasets Automate DevOps workflows, testing pipelines, and workspace configurations Additional Skills Azure: Data Factory, Data Lake, Key Vault, Logic Apps, Functions CI/CD: Azure DevOps Orchestration: Apache Airflow (plus) Streaming: Delta Live Tables MDM: Profisee (nice-to-have) Databases: SQL Server, Cosmos DB Soft Skills Strong analytical and problem-solving mindset Excellent communication and cross-team collaboration Detail-oriented with a high sense of ownership and accountability

Hi, Hope you are doing well, IMMEDIATE INTERVIEW = Principal Data Engineer / Data Architect IN Phoenix, ARIZONA( NEED LOCAL CANDIDATE)- OPEN FOR W2 OR SELF CORP CANDIDATE ONLY Please find the Job details below and kindly revert if you're interested in learning more about this job. Job Title: Principal Data Engineer / Data Architect Location: Phoenix, ARIZONA( NEED LOCAL CANDIDATE) Principal Data Engineer / Data Architect (Public Sector Financial Systems) 1. Role Overview The Principal Data Engineer / Data Architect will provide hands-on technical services to support the enhancement, stabilization, and ongoing development of a public-sector financial system operating in a full-stack application environment. This role serves as the primary technical resource responsible for data architecture, data engineering, and data integration activities associated with the system. In addition to supporting application enhancements, the contractor will assist the organization in establishing foundational data management practices, including standards, tools, and processes appropriate for a public-sector environment. The role requires a high degree of independent technical judgment and the ability to work effectively within an iterative delivery framework. 2. Scope of Services A. Data Engineering and Architecture Support Design, implement, and maintain relational data models supporting transactional and reporting use cases. Develop, optimize, and maintain SQL-based data objects, including tables, views, stored procedures, and indexes. Support data access and integration within a full-stack application environment. Design and implement data interfaces and services to support system integrations. Perform data performance tuning, diagnostics, and optimization activities. Support data validation, reconciliation, and auditability requirements. B. Application Enhancement and Delivery Support Support enhancement and feature development efforts for an existing production system. Participate in backlog refinement, technical design, and implementation activities related to data components. Provide production support and issue resolution related to data quality, performance, or integrity. Support testing, deployment, and post-release stabilization activities. C. Data Management Practice Enablement Assist in defining and documenting data management standards and best practices. Develop templates, patterns, and reference implementations to support consistent data engineering practices. Support the establishment of data governance and stewardship concepts appropriate to organizational maturity. Provide documentation and knowledge transfer to support long-term sustainability. 3. Required Qualifications Technical Experience Minimum of eight (8) years of hands-on experience in data engineering and/or data architecture roles. Advanced proficiency with relational database platforms, including data modeling, query optimization, and performance tuning. Experience supporting full-stack application environments, including integration with application code. Experience designing and supporting data integrations and application programming interfaces (APIs). Demonstrated experience supporting production financial or transactional systems. Professional Experience Experience supporting post-implementation or post-go-live enhancement efforts. Ability to operate independently as a senior technical resource with minimal supervision. Experience working in public-sector or regulated environments. Strong analytical, troubleshooting, and documentation skills. 4. Preferred Qualifications Experience supporting public-sector financial, revenue, or accounting systems. Experience with cloud or hybrid data architectures. Familiarity with data governance, data quality, or master data concepts. Experience working in agile or iterative delivery environments.

Akkodis is seeking a Data Architect local to Phoenix, AZ that can come onsite 3 days a week. If you are interested, please apply! JOB TITLE: Data Architect EMPLOYMENT TYPE: 24+ month Contract | 3 days/week on site Pay: 80 - 96/hr ETL design and development for enterprise data solutions. Design and build databases, data warehouses, and strategies for data acquisition, archiving, and recovery. Review new data sources for compliance with standards. Provide technical leadership, set standards, and mentor junior team members. Collaborate with business stakeholders to translate requirements into scalable solutions. Guide teams on Azure data tools (Data Factory, Synapse, Data Lake, Databricks). Establish best practices for database design, data integration, and data governance. Ensure solutions are secure, high-performing, and easy to support. Essential Skills & Experience Bachelor's degree in computer science, Information Systems, or equivalent experience. 10+ years with Microsoft SQL technologies. 3+ years with cloud-based solutions (Azure preferred). Strong knowledge of ETL, data modeling, and data warehousing. Experience with source control, change/release management, and documentation. Excellent communication and leadership skills. Preferred Retail or grocery industry experience. Familiarity with Power BI and MDM principles. Work Schedule Hybrid: 3 days onsite in Phoenix, AZ; 2 days remote. “Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client”

The Senior Data Engineer & Test in Phoenix 85029 will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects Key Responsibilities 1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads. 2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability. 3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions. 4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines. 5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle. 6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions. 7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts. 8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices. 9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks. Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage. Includes all above skills, plus the following; · Minimum of 10+ years overall IT experience · Experienced in waterfall, iterative, and agile methodologies Technical Requirment: 1. Hands-on Data Engineering : Minimum 5+ yearsof practical experience building production-grade data pipelines using Python and PySpark. 2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments. 3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelinesfor data engineering workflows, including automated testing and deployment**. 4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles 5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices 6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows). 7. Unix/Linux: Strong command-line skills** in Unix-like environments. 8. SQL : Solid understanding of SQL for data ingestion and analysis. 9. Collaborative Development : Comfortable with code reviews, pair programming and usingremote collaboration tools effectively. 10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software 11. Education: Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

We are seeking an experienced Azure Data Architect to design, build, and govern scalable, secure, and high-performance data platforms on Microsoft Azure. The architect will define enterprise data architecture, lead cloud data modernization initiatives, and enable analytics, reporting, and AI/ML workloads. Key Responsibilities: Architecture & Design Design end-to-end Azure data architectures including ingestion, storage, processing, analytics, and consumption layers Define Lakehouse, Data Warehouse, and Medallion (Bronze/Silver/Gold) architectures Architect solutions using Azure Fabric, Azure Synapse, Azure Data Factory, ADLS Gen2, Azure SQL, Snowflake (if applicable) Data Engineering & Integration Design scalable ingestion pipelines for batch and streaming data Implement data transformations using Spark, SQL, PySpark, Dataflows Optimize data models for Power BI, reporting, and advanced analytics Governance, Security & Compliance Define data governance, lineage, and metadata strategy Implement security, RBAC, encryption, and PII controls Ensure compliance with enterprise and regulatory standards (SOX, GDPR, CCAR, FRY14, etc. where applicable) Analytics & BI Enablement Design semantic models and enterprise datasets for Power BI Optimize performance for large-scale analytical workloads Enable self-service analytics while maintaining governance Cloud & DevOps Implement CI/CD pipelines for data solutions Define monitoring, logging, and cost optimization (FinOps) Collaborate with DevOps and platform teams Leadership & Collaboration Act as a technical leader and advisor to engineering and business teams Review designs, mentor data engineers, and enforce best practices Partner with stakeholders to translate business needs into data solutions Required Skills & Experience: Technical Skills: Strong expertise in Microsoft Azure Data Services Azure Fabric (Lakehouse, Warehouse, Notebooks) Azure Data Factory / Synapse Pipelines ADLS Gen2 Azure SQL / SQL Server Strong SQL and data modeling skill Experience with Power BI (semantic models, performance tuning) Hands-on with Spark / PySpark Understanding of Snowflake or Databricks Architecture & Concepts: Data Warehousing & Lakehouse architecture Dimensional modeling (Star/Snowflake schemas) Data quality, lineage, and observability Streaming vs batch architecture Experience: 10+ years in data engineering / analytics 4-6+ years designing cloud data platforms Experience in enterprise-scale implementations Certifications: Microsoft certifications (Azure Data Engineer / Architect) Experience with AI/ML enablement on Azure Domain exposure: Banking, Regulatory Reporting, Real Estate, Healthcare Experience with Purview / Microsoft Fabric governance Soft Skills: Strong communication with business and technical stakeholders Ownership mindset and problem-solving ability Ability to influence architecture decisions Mentorship and leadership capabilities Life at Sogeti - We support all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) (matched 150% up to 6%) and Employee Share Ownership Plan 100% Company-paid mobile phone plan 3 weeks Personal Time Off (PTO) and 7 Paid Holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Continuing Education: $5,250 Annual Tuition Reimbursement plus access to over 20,000 online courses and certifications through Capgemini University, as well as Coursera and Degreed. Programs for Counseling, Support, Health and Fitness perks, Auto discounts and much, much more! Employee Resource Groups Disaster Relief Disclaimer - Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever it is necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant ************************************************************************** Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Principal Software Engineer - Digital Banking COMPENSATION: $160,000 base salary + 15% bonus and $15k in stock (LTI plan) BENEFITS: Annual Bonus, Medical, Dental, Vision, PTO, 401(k), Health Savings Account, Disability & Life Insurance, Tuition Assistance, Parental Leave, LTI Plan, Employee Wellness EMPLOYMENT TERMS: Direct-Hire/Permanent SUMMARY & OVERVIEW: The role is part of Digital Banking team, specifically working on the "Temenos" Digital Account Onboarding (DAO) platform and technologies. As a Principal Engineer I you'll provide SME expertise in your respective domain as well as adjacent domains to ensure solutions are safe, secure, compliant and reliable. You'll identify development and support needs as well as take on large and complex design responsibilities supporting project tasks. You'll also engage with project and business sponsors refining requirements and objectives of targeted solutions. As a Principal Engineer I, you also facilitate dialogue and activities, and work to ensure team collaboration including teams outside of your domain. In this role, you'll also develop the technical features while also guiding junior engineers. KEY RESPONSIBILITIES: Work on the current Temenos DAO platform to integrate, develop new features while enhancing the existing feature in alignment with business requirements and priorities. Provide production support, timely resolution of incidents, and communication to business stakeholders. Build the solution design of efforts that can be handed off to lower-level engineers for execution assuring reuse of platforms where possible. Review technical plans developed by lower-level engineers and analysts to assure quality designs prevail which can support the volumetrics of our business partners objectives. Build comprehensive measurement dashboards that give performance insight into key applications of the bank which can feed operational results of our business partners. Work independently or sometimes with architecture team counterparts to lay out the final documentation required for proper ongoing reference of the given solution, including physical and logical layouts with cross reference to use case models while enforcing standards. REQUIRED QUALIFICATIONS: 8+ years of related experience (recent experience at the “principal/staff-level” or similar). Experience working on the Temenos Frameworks & Tools (e.g., DAO, Journey Manager, T24, Transact, Banking Cloud, Infinity/Kony, Payments, TIM.). Familiarity with Temenos Exchange Framework (TIF/Transact Integration Framework) for connecting external systems. Advanced to expert knowledge of applicable regulatory and legal compliance obligations, rules and regulations, industry standards and practices. Advanced to expert experience in leading cross-functional teams and managing multiple projects simultaneously with an established expertise in one or more key domains of the bank (Deposits, Loans, Operations or Reporting). Capable of working with regulatory partners like the CFPB, OCC and FRB through audits and collaboration efforts as situations arise. Advanced to expert familiarity with the capability model across IT and the applications and infrastructures available for engagement in solutioning across the bank. Experience in the design, enhancement, and compliance to all governance frameworks across the IT organization to ensure proper compliance to published procedures and standards. Bachelor's degree in related field required. PREFERRED QUALIFICATIONS: Previous leadership experience preferred. Advanced to expert knowledge of general Financial Services or Banking is preferred. Masters or MBA in related field preferred. Compensation: $160,000 per year base salary Exact compensation may vary based on several factors, including skills, experience, and education. Benefits include: -Annual bonus -Comprehensive medical, dental, vision, life insurance, and disability benefits -401(k) program -Health savings account -Tuition assistance program -LTI Plan -Employee wellness program

Job Title : Java Developer Duration : 12 Months Must Have Skills: Good Knowledge on Java Strong communication skill Should be able to work independently Detailed Job Description: JavaJ2EE full stack developer with financial or Banking domain experience. Should be very fluent in communication and should be able to work on his own without hand holding. Should be completely hands on. Responsibilities: Good Knowledge on Java Strong communication skill Should be able to work independently

Job Title: Backend Software Engineer - FinTech Duration: Long-term About WCT WCT is a global talent solutions partner committed to delivering high-impact technology and engineering talent to some of the world's most innovative companies. As a WCT employee, you'll be part of a dynamic, growth-oriented culture that values collaboration, continuous learning, and excellence in execution. Job Description: The Digital Banking and Payments team is responsible for our Card Payments Processing and Digital Bank products. We are currently building platforms responsible for ACH, Wire, Bill Pay, Zelle, Debit, Checking, and Savings applications that allow teams to create products at scale and allow digital channels to deliver compelling experiences in a dramatically faster fashion. We're building a next-generation orchestration and automation platform to support thousands of business processes across the enterprise. This isn't about coding one-off automations - it's about creating the platform, APIs, and orchestration primitives that other developer teams will use to define, run, and scale their business processes. As the Lead Backend Engineer, you'll be hands-on in Kotlin every day, designing platform services, integrating workflow orchestration frameworks, and enabling GenAl-powered intent parsing and decision nodes. You need to understand complexity, tradeoffs and scaling. Responsibilities Design and build backend platform services in Kotlin for ingestion, orchestration, RBAC, monitoring, and developer tooling. Implement and optimize workflow orchestration frameworks (e.g., Temporal - preferred, Cadence, Camunda). Provide scalable Alts and abstractions that empower other teams to build workflows on the platform. Integrate GenAI/NLP pipelines for intent parsing, process matching, and intelligent decisioning. Champion developer experience (X) through tooling, CI/CD improvements, and observability. Mentor backend engineers, lead design reviews, and guide technical decisions. Collaborate closely with frontend, product, and process analysts to ensure platform adoption and impact. Qualifications: Bachelor's degree in computer science. Engineering, Data Science, or related field (or equivalent experience). 10+ years of backend engineering experience, with strong Kotlin/JVM expertise. Proven track record building platforms, frameworks, or orchestration services (not just applications). Hands-on experience with workflow orchestration systems (Temporal, Cadence, Camunda, or similar). Excellent knowledge in graph algorithms. Deep knowledge of distributed systems. API design, and event driven architectures. Practical experience integrating GenAI/NLP into backend systems. Experience with RBAC/security models in multi-tenant or enterprise environments. Strong bias for action, ability to thrive in lean teams inside large organizations, and passion for delivering value quality. Natural mentor with excellent communication skills, collaborates across functions and knows when to push back. Compensation / Salary Range: The typical pay range for this role is: USD $80,000/Yearly - $100,000/Yearly. Factors that may affect pay within or outside of this range may include but not limited to geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: Medical, dental, Vision, Life, PTO, Holidays, 401(k) benefits and ancillaries may be available for eligible WCT employees and may vary depending on the nature of your employment. WCT will accept applications and processes offers for these roles until the role is filled. Equal Employment Opportunity Declaration: WCT is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

We are seeking a skilled Back-End Senor Java Developer to join our development team. In this role, you will be responsible for designing, building, and maintaining the server-side logic, databases, and APIs of scalable web applications. The ideal candidate will have a strong background in Java development, excellent problem-solving abilities, and a passion for delivering high-performance back-end solutions. Qualifications 6+ years of hands-on experience in Java development. Back-End API Development, Full-Stack Development, and Software Development skills Strong knowledge of Spring or Spring Boot framework for building back-end services. Strong knowledge of microservices architecture and development. Experience with RESTful API design and development. Proficiency in working with databases (e.g., MySQL, PostgreSQL, Cassandra, Couchbase & Mongo). Experience in monitoring tools such as Micrometer, Prometheus, Elastic, Kibana, Grafana & Splunk. Experience with cloud platforms (AWS or GCP,). Familiarity with version control tools like Git. Knowledge of security best practices in back-end development. Experience with Agile methodologies and working in a collaborative, fast-paced environment. Understanding of containerization tools such as Docker or Kubernetes Good communication and team work skills are a must

Build Tools: Proficiency in build automation tools such as Make, Maven, Gradle, or Ant. Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins or GitLab CI. Version Control Systems: Strong knowledge of version control systems, particularly Git, including branching strategies and workflows. Scripting Languages: Proficiency in scripting languages such as Bash, Python, or Ruby for automating build processes. Containerization: Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes. Static and Dynamic Analysis Tools: Understanding of tools for code quality and security analysis (e.g., SonarQube, Val grind). Programming Languages: Knowledge of programming languages relevant to the projects (e.g., C/C++, Python). Preferred Qualifications Experience in managing large data sets. Parallel Computing: Familiarity with parallel programming models like MPI (Message Passing Interface), OpenMP, and CUDA for GPU-based computing. Performance Optimization: Skills in profiling and optimizing code for better performance on HPC systems (e.g., using tools like Gprof, Valgrind, or Intel VTune). Storage Architecture Knowledge: Understanding file systems such as Lustre, GPFS, or HDFS and strategies for efficient data storage and retrieval in HPC environments. Distributed Computing Tools: Familiarity with frameworks such as Hadoop, Spark, or Dask for handling distributed datasets. Education and Experience · A bachelor's degree in Computer Science, Software Engineering, or a related field. · Experience: Proven experience in software build management, DevOps, or continuous integration roles (typically 3+ years).

Pyspark Data Engineer Duration: 06+ Months **Only US Citizen and Green Card Required** Job Details: Must Have Skills • PySpark, Python developer. • Hands on knowledge for py Spark, Hadoop, Python • Github Backend API integration knowledge (JASON, REST) Nice to have skills • Closely working with client • Good communication Detailed Job Description • Looking for a Subcon requirement for PySpark, Python, Data engineer. • Client communication skillset for Amex Account. Minimum years of experience: 6 years Certifications Needed : No (Good to have GCP certification) Top 3 responsibilities you would expect the Subcon to shoulder and execute • Individual contributor • Strong development experience and leading dev module • Work with client directly Thank You Aakash Dubey ************************