Data Management Engineer II” ETL / IICS Developer
Deloitte · Austin, TX
- On site
- Full-time
- $100,000 / year
- Austin, TX
Job highlights
- Develop and maintain critical applications for healthcare.
- Troubleshoot issues and ensure application stability.
- Collaborate with cross-functional teams.
- Participate in modernization and optimization initiatives.
- Enhance and automate support delivery processes.
About the role
About the Role
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Management Engineer II, ETL / IICS Developer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a competitive benefits package for project delivery-focused professionals.
Work You'll Do/Responsibilities
- Support development, enhancement, maintenance, and modernization of mission-critical applications for a leading Healthcare Insurance client.
- Analyze incidents, troubleshoot production issues, and drive timely resolution to ensure application stability and business continuity.
- Perform code changes, defect fixes, and minor enhancements based on business and operational priorities.
- Work with cross-functional teams including business analysts, architects, QA, infrastructure, and client stakeholders to deliver solutions.
- Participate in application modernization initiatives such as refactoring legacy components, improving performance, and adopting more scalable design patterns.
- Conduct root cause analysis for recurring issues and recommend preventive improvements.
- Support release activities, validation, and post-deployment monitoring.
- Ensure adherence to quality, security, and operational standards across support and development activities.
- Maintain project documentation, knowledge artifacts, and status updates for ongoing support and enhancement work.
- Contribute to continuous improvement by identifying opportunities to automate, simplify, and optimize support and delivery processes.
- Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes.
The Team
The AI & Engineering (AI & E) team delivers market-leading expertise and industry depth by harnessing deep sector knowledge, scaling the power of hybrid services and products, and unlocking the power of Process Bionics to deliver sustainable and impactful solutions to our clients. We advise, design, implement, and deploy innovative and technology-enabled solutions focused on "heart of the business" issues in specific sectors including Health Care & Life Sciences, Digital Banking & Payments, Investment & Wealth Management, Insurance, Telecom, Media, and Energy & Resources.
Our AI & E team brings clients the knowledge of industry leaders who understand the relevant processes and technologies for their industry and apply them with a process and mindset that tailors transformational change to their specific organization.
Key Skills/Competency
- Data Management
- ETL Development
- IICS Development
- Informatica PowerCenter
- Databricks
- Application Modernization
- Root Cause Analysis
- Release Management
- Quality Assurance
- Process Improvement
Skills & topics
- Data Management Engineer
- ETL Developer
- IICS Developer
- Informatica
- Databricks
- Data Engineering
- Healthcare IT
- Application Support
- Software Development
- Technology Consultant
How to get hired
- Tailor your resume: Highlight your experience with Informatica PowerCenter, IICS, and Databricks. Quantify achievements in data management and ETL development.
- Showcase problem-solving: Emphasize your analytical skills, root cause analysis experience, and ability to troubleshoot production issues.
- Demonstrate collaboration: Provide examples of working effectively with cross-functional teams and client stakeholders.
- Research Deloitte: Understand their AI & Engineering focus and commitment to client solutions in healthcare.
- Prepare for technical questions: Be ready to discuss your approach to application modernization and process optimization.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the primary responsibilities of a Data Management Engineer II at Deloitte?
- As a Data Management Engineer II specializing in ETL/IICS development at Deloitte, you will be responsible for supporting, enhancing, and modernizing critical applications, troubleshooting production issues, performing code changes, and collaborating with various teams to deliver solutions. You will also contribute to application modernization initiatives and continuous improvement efforts.
- What are the required technical skills for this Data Management Engineer role?
- The essential technical skills required include extensive experience with Informatica PowerCenter and IICS. Exposure to Databricks is also a plus. A Bachelor's degree in a related IT field or equivalent experience is necessary.
- What kind of projects can I expect to work on as an ETL/IICS Developer at Deloitte?
- You can expect to work on projects supporting a leading Healthcare Insurance client, focusing on developing, enhancing, and modernizing mission-critical applications. This includes troubleshooting, defect fixing, and contributing to application modernization efforts and process optimization.
- Does Deloitte offer immigration sponsorship for the Data Management Engineer II position?
- Limited immigration sponsorship may be available for this role. It's advisable to inquire about specific sponsorship details during the application or interview process.
- What is the team structure like for the AI & Engineering team at Deloitte?
- The AI & Engineering team comprises professionals with deep sector knowledge who deliver innovative, technology-enabled solutions. You'll work within a collaborative environment, collaborating with business analysts, architects, QA, and infrastructure teams to achieve client objectives.
- How much travel is expected for this Data Management Engineer role at Deloitte?
- The role requires an average of up to 10% travel. This is based on the specific work you do and the clients and industries you serve, allowing for a good balance between project delivery and personal time.
- What are the preferred qualifications for this role?
- Preferred qualifications include strong analytical and decision-making abilities, the capacity to manage multiple projects, excellent written and communication skills, and the ability to deliver technical demonstrations independently or with minimal supervision.