CrawlJobs Logo

Senior Full-Stack Developer (ETL & Integration)

dutechsystems.com Logo

Dutech Systems

Location Icon

Location:
United States , Austin, TX

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

Not provided

Job Description:

The Senior Full-Stack Developer will perform advanced analysis and programming work involving all technical aspects of designing, creating, and maintaining software applications. This role will support the Texas of TX project team by providing software development services. This position requires both strong back-end ETL expertise and front-end development skills, with the ability to work across complex enterprise environments.

Job Responsibility:

  • Performing technical analysis by reviewing user requirements and creating design documents
  • Writing high-quality code that adheres to TEA and industry standards, best practices, and customer requirements
  • Conducting thorough testing to ensure deliverables meet requirements
  • Preparing and maintaining technical documentation (design docs, process flows, object/data models, project plans, environment diagrams, test plans, etc.)
  • Collaborating with the project team during sprints/releases for effort estimation, architecture/design discussions, triaging and resolving defects, and providing regular status updates
  • Supporting the design, integration, and governance framework necessary to establish the ECIDS system for the State of Texas

Requirements:

  • 15 years – Creating ETL processes
  • transporting and aggregating large datasets between systems
  • 15 years – SQL Server or Oracle stored procedures, PL/SQL, Dynamic SQL, and exception handling
  • 10 years – Object-oriented framework such as .NET Core or Java
  • 10 years – XML, JSON, API Testing, JavaScript, JQuery
  • 10 years – Experience in mid-to-large scale, complex enterprise-level SDLC projects
  • 2 years – Experience with Texas state agencies

Nice to have:

  • 2 years – Experience with Microsoft Power Platform (Power BI, PowerApps)
  • 2 years – Experience with project-specific tools (Jira, Tempo, BitBucket, Confluence)
  • 2 years – Scrum/Agile methodologies

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Senior Full-Stack Developer (ETL & Integration)

Full Stack Developer

Full Stack Developer role in Citi's Chief Technology Office (CTO) Technology Str...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in computer science, Software Engineering, or a related field
  • 8-10 years of professional experience in software development
  • Solid understanding of fundamental database concepts and practical experience with relational databases (e.g., MSSQL, Oracle) and/or NoSQL platforms (MongoDB)
  • Proficiency in Python, with experience in data manipulation and processing using frameworks like Apache Spark, PySpark
  • Hands-on experience with back-end technologies, such as Spring, Spring Boot, and Java 11+
  • Hands-on experience with front-end technologies, preferably React
  • Experience with Docker, Kubernetes, and container orchestration platforms
  • Comprehensive understanding of unit testing methodologies, test coverage principles, and experience in writing effective unit tests
  • Familiarity with foundational Generative AI model architectures (e.g., Transformers, GANs) and practical experience with deep learning libraries such as TensorFlow or PyTorch
Job Responsibility
Job Responsibility
  • Design, code, and optimize robust ETL data pipelines using technologies such as Python, PySpark, Apache Spark, Kafka, SQL to prepare large datasets for analysis
  • Participate in design, development, and deployment of full-stack applications utilizing Spring Boot and React frameworks
  • Implement scalable, resilient microservices deployed in Docker containers, orchestrated within an OpenShift environment
  • Work alongside senior developers to explore, fine-tune, and integrate pre-trained Generative AI models
  • Troubleshoot and resolve complex data-related issue and performance bottlenecks
  • Actively participate in agile ceremonies, including sprint planning, daily stand-ups, and sprint retrospectives
  • Fulltime
Read More
Arrow Right

Senior Full Stack Data Engineer

Senior Full Stack Data Engineer role in Citi's Chief Technology Office (CTO) Tec...
Location
Location
India , Pune
Salary
Salary:
Not provided
https://www.citi.com/ Logo
Citi
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Minimum of 8 years of proven experience in software development
  • Significant experience as a Data Engineer and Full Stack Developer
  • Strong proficiency in SQL for data querying, manipulation, and optimization
  • Experience with NoSQL databases, such as MongoDB
  • Expertise in designing and developing data pipelines for ingestion, transformation, and processing of large datasets
  • Deep understanding of multithreading, thread pools, Object-Oriented Programming (OOP) concepts, and design patterns
  • Demonstrated experience working in an Agile software development environment
  • Excellent communication, problem-solving, and analytical skills
  • Proficiency in at least one of the following programming languages: Java or Python
  • Strong knowledge of DevOps practices, including source control management (e.g., Git), Continuous Integration (CI), Continuous Delivery/Deployment (CD), and automated deployments
Job Responsibility
Job Responsibility
  • Design and develop scalable data solutions leveraging platforms such as Iceberg, Snowflake, Trino, or other modern data ecosystems
  • Design, build, and optimize robust Extract, Load, Transform (ELT) and Extract, Transform, Load (ETL) data pipelines
  • Collaborate effectively with domain experts, product managers, analysts, and data scientists to understand data requirements and deliver efficient data solutions
  • Enable advanced analytics and machine learning workflows by ensuring the delivery of high-quality, reliable, and timely data
  • Implement and manage CI/CD pipelines to automate data engineering workflows across both cloud and on-premises environments
  • Research, evaluate, and recommend the integration of open-source technologies into our data platform
  • Clearly communicate complex technical details, project progress, and challenges to both technical and non-technical stakeholders
  • Design, develop, and implement scalable full-stack applications using technologies such as JavaScript, ReactJS, NodeJS, Python, and SQL/NoSQL databases
  • Write clean, efficient, well-documented, and maintainable code, adhering to industry best practices
  • Fulltime
Read More
Arrow Right

Engineering Manager (Integrations)

As an Engineering Manager of the Integrations team, you will lead a team of 6+ m...
Location
Location
United Kingdom , London
Salary
Salary:
Not provided
dialpad.com Logo
Dialpad
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 3+ years of experience leading a high-performing team of engineers, including managing and shipping cross-functional or multi-team projects
  • 10+ years of professional experience as an engineer or engineering leader
  • Experience with the development of integrations & APIs
  • Hiring & interviewing skills
  • Onboarding & mentorship experience
  • Agentic AI experience
  • Proficiency with ETL data pipelines
Job Responsibility
Job Responsibility
  • Lead a team of 6+ mid-senior full-stack engineers based in London & India
  • Collaborate with other engineering managers & teams, also focusing on integrations to achieve alignment & efficiency while delivering multiple simultaneous projects with cross-functional stakeholders
  • Perform some technical IC tasks
  • Define a 1-3 year roadmap & vision for the integrations team
  • Consistently work with your direct reports to support their career growth
  • Assist in evaluating technical design & architecture documents and proposals on an ongoing basis
  • Work with geographically distributed peers, including engineering managers, technical leaders, product managers, designers, support engineers, and other stakeholders to align on engineering-wide priorities
  • Own large projects end-to-end, including requirements gathering, planning, resource allocation, and sometimes execution
  • Drive effective engineering processes and policies
  • Scale the team by recruiting candidates from diverse backgrounds
What we offer
What we offer
  • Competitive benefits and perks
  • Robust training program
  • Inclusive offices designed to cultivate collaboration and connection
  • Exceptional culture recognized as a certified Great Place to Work
  • Fulltime
Read More
Arrow Right

Senior Full-Stack Developer

Robert Half is seeking a Senior Full-Stack Developer to lead the evolution of mo...
Location
Location
United States , Janesville
Salary
Salary:
Not provided
https://www.roberthalf.com Logo
Robert Half
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of professional software development experience
  • Advanced proficiency in React, Node.js, JavaScript, and TypeScript
  • Strong experience designing RESTful APIs
  • Hands-on experience with cloud platforms and serverless architectures
  • Experience with relational and NoSQL databases
  • Solid understanding of authentication, authorization, and security best practices
  • Experience with version control and collaborative development workflows
  • Proven ability to refactor and harden rapidly developed or AI-generated code
  • Strong debugging skills across frontend, backend, and infrastructure
Job Responsibility
Job Responsibility
  • Own and productionize modern React and TypeScript applications, refactoring prototype or AI-generated code into secure, maintainable systems
  • Design and build API-first, cloud-native full-stack solutions using JavaScript/TypeScript, Node.js, and relational or NoSQL databases
  • Implement complex business logic such as pricing rules, workflow automation, and multi-level authorization
  • Support and modernize legacy components as needed
  • Design and maintain scalable cloud-native architectures
  • Develop serverless backend services and optimize database performance
  • Implement secure document storage and file management solutions
  • Enforce security best practices, identity management, and access controls
  • Design and optimize relational and NoSQL database schemas
  • Build RESTful APIs with structured service layers and role-based access
What we offer
What we offer
  • medical
  • vision
  • dental
  • life and disability insurance
  • company 401(k) plan
Read More
Arrow Right
New

Senior Fullstack Engineer

We're scaling rapidly and need a senior engineer who can take ownership of compl...
Location
Location
Austria , Vienna
Salary
Salary:
Not provided
sportradar.com Logo
Sportradar
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of fullstack engineering experience with proven track record of leading complex projects from conception to delivery
  • Exceptional communication skills and experience working in cross-functional teams with analysts, product managers, and business stakeholders
  • Very strong hands-on experience with AWS services (S3, Lambda, Glue, Athena, Quicksuite, etc.)
  • Proficiency with Apache Spark for large-scale data processing
  • Strong experience with Python for building APIs and services
  • Expert-level SQL for data processing and analytics
  • Hands-on experience with Docker, Terraform, and CI/CD pipelines with automation best practices
  • Strong commitment to writing clean, maintainable, well-documented code with comprehensive testing
  • Knowledge of analytics/reporting requirements
Job Responsibility
Job Responsibility
  • Scale & Performance Engineering: Processing and analyzing terabytes of advertising data with sub-second query performance while building and maintaining robust ETL pipelines using Spark and AWS services to handle massive data volumes daily
  • Full-Stack Integration & Development: Building seamless end-to-end experiences from data pipelines to user-facing dashboards, developing backend APIs (Python or Go), frontend solutions (TypeScript, Vue.js), and integrating analytics solutions into our main platform
  • Infrastructure & Data Quality Operations: Implementing robust monitoring and alerting systems to detect data quality issues, managing AWS infrastructure using Terraform, implementing CI/CD best practices, and maintaining high coding standards across the team
  • Cross-Functional Leadership & Collaboration: Leading large-scale projects from requirements gathering through delivery, bridging technical implementation with business requirements, mentoring team members, and presenting technical concepts to stakeholders while challenging requirements constructively
  • End-to-End System Ownership: Taking complete ownership of complex projects while ensuring high availability and accuracy for both internal stakeholders and external clients, championing clean code principles, and serving as a knowledge leader who supports delivering the right solutions
What we offer
What we offer
  • A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and US) including various social events and teambuilding
  • Flexibility to manage your workday and tasks with autonomy
  • A balance of structure and autonomy to tackle your daily tasks
  • Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants
  • Global Employee Assistance program
  • Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience)
  • Online training videos
  • Flexible working hours
  • Fulltime
Read More
Arrow Right
New

Data Architect

Do you want to join a fast-growing global consultancy in the life science indust...
Location
Location
Denmark , København
Salary
Salary:
Not provided
life-science-talent-solutions.dk Logo
Life Science Talent
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience in implementing IT solutions
  • 3+ years in the pharmaceutical or life sciences industry
  • Experience building Data Architecture frameworks for a specific tech/data product
  • Experience designing and managing systems that integrate data from various sources (Mulesoft, Alteryx, Rest APIs)
  • Experience leading initiatives to establish robust data governance framework and lineage (GxP, 21 CFR Part 11)
  • Experience overseeing the continuous improvement of defined frameworks
  • Experience contributing to the identification of significant data assets & translation of business requirements into data products
  • Experience identifying & assessing potential impacts/opportunities of product choices from a data architecture standpoint
  • Experience coordinating with other Data/Tech Architects
  • Ability to provide data architecture best practices
Job Responsibility
Job Responsibility
  • Design and implement scalable data architectures to support the complex data needs of pharmaceutical clients
  • Lead the strategy for data integration, data governance, and cloud infrastructure across R&D and Commercial Excellence datasets
  • Ensure architecture aligns with industry standards and supports the team’s analytical objectives
  • Collaborate with senior stakeholders, business analysts, data engineers, and data scientists to create a unified, efficient data ecosystem
  • Translate pharma clients’ business needs into user stories and technology
  • Participate in implementation projects for high profile clients – from initiation to completion
What we offer
What we offer
  • Flexible schedule
  • An entrepreneurial and multi-cultural work environment
  • Ongoing learning and development opportunities
  • An inspiring work environment with many social events
  • A culture based on trust, diversity, and inclusion
  • Home office setup and a remote friendly mindset
  • Comprehensive benefit package
  • Opportunities for career advancement
  • Competitive salary
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer P3 Job Description. About JLL Technologies (JLLT): JLL Tech...
Location
Location
Mexico , Jalisco
Salary
Salary:
Not provided
jll.com Logo
JLL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)
  • Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
  • Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
  • Strong Databricks experience
  • Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity
  • Strong experience in designing and implementing data pipelines, ETL processes, and workflow automation
  • Experience with data warehousing concepts, dimensional modeling, data governance best practices, and cloud-based data warehousing platforms (e.g., Google BigQuery, Snowflake)
  • Experience with cloud platforms such as Microsoft Azure, or Google Cloud Platform (GCP)
  • Experience working in DevOps model
  • Experience with Unit, Functional, Integration, User Acceptance, System, and Security testing of data pipelines
Job Responsibility
Job Responsibility
  • Design and implement robust, scalable data pipelines using Databricks, Apache Spark, and Delta Lake as well as BigQuery
  • Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
  • Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance
  • Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
  • Create automated tests and integrate them into testing frameworks
  • Configure and optimize Databricks workspaces, clusters, and job scheduling
  • Work in a Multi-cloud environment including Azure, GCP and AWS
  • Implement security best practices including access controls, encryption, and audit logging
  • Build integrations with market data vendors, trading systems, and risk management platforms
  • Establish monitoring and performance tuning for data pipeline health and efficiency
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

Senior Data Engineer Job Description; We are seeking a Senior Data Engineer who ...
Location
Location
India , Bengaluru
Salary
Salary:
Not provided
jll.com Logo
JLL
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Engineering, or a related field (Master's degree preferred)
  • Minimum 5+ years of experience in data engineering or full-stack development, with a focus on cloud-based environments
  • Advanced expertise in managing big data technologies (Python, SQL, PySpark, Spark) with a proven track record of working on large-scale data projects
  • Strong Databricks experience
  • Advanced database/backend testing with the ability to write complex SQL queries for data validation and integrity
  • Strong streaming and real-time API/service validation including automation
  • Experience with automated web services (WSDL) and microservices (REST) using custom scripts and assertions for data validation and data-driven testing
  • Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  • Proficiency in object-oriented programming and software design patterns
  • Experience working in DevOps model, including installing, configuring, and integrating automation scripts on continuous integration tools (CI/CD) and GitHub for real-time test suite execution and troubleshooting
Job Responsibility
Job Responsibility
  • Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark
  • Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture
  • Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms
  • Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance
  • Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark
  • Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver data solutions that meet their needs
  • Document data infrastructure, data pipelines, and ETL processes, ensuring knowledge transfer and smooth handovers
  • Create complex automated tests and integrate them into testing frameworks
  • Fulltime
Read More
Arrow Right