Database Engineer - Oracle/SQL/ETL

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Database Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery 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 benefits package that is competitive for project delivery-focused professionals.

 Work you’ll do/Responsibilities 

• Database Administration & Maintenance: Administer, configure, and maintain PostgreSQL database environments for clients. Manage user access, monitor system health, execute backups, and ensure maximum uptime and reliability.
• Database Design & Architecture: Architect highly efficient, scalable relational database schemas. Partner with client stakeholders to gather requirements and translate them into robust physical and logical database designs.
• Data Modeling & Analysis: Conduct rigorous data modeling and structural analysis. Interrogate complex datasets to identify relationships, eliminate redundancies, and ensure data integrity across enterprise systems.
• ETL Pipeline Development: Design, build, and deploy reliable ETL workflows to extract data from diverse sources, transform it according to strict business logic, and load it into target analytical databases.
• Performance Tuning: Proactively monitor database performance, analyze query execution plans, and optimize complex Structured Query Language (SQL) scripts to resolve bottlenecks and reduce latency.
• Cross-Functional Collaboration: Act as a technical liaison between software developers, data scientists, and business analysts, ensuring data architecture supports application performance and analytical needs.

The Team 

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications 

 Required 

• 4+ years of experience in data engineering, database administration, or a heavily data-focused software development role.
• Hands-on experience administering PostgreSQL environments, including configuration, performance tuning, and routine maintenance tasks.
• Strong foundational knowledge of relational database design principles, normalization, and modern data modeling techniques.
• Advanced to expert-level SQL skills including, demonstrated ability to write complex queries, analyze large datasets, and validate data quality independently.
• Experience developing, testing, and maintaining automated ETL data pipelines from end to end.
• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
• Limited immigration sponsorship may be available.
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Preferred

• Consistently demonstrates clear and concise written and verbal communication skills, with the ability to explain complex data structures and administrative processes to non-technical client stakeholders.
• Proven experience planning and executing complex data migrations from legacy database systems to modern cloud or PostgreSQL environments with minimal downtime.
• Strong experience performing intricate schema mapping and structural cross-walking between disparate enterprise data sources.
• Familiarity with or hands-on experience managing Not Only SQL (NoSQL) document databases, specifically MongoDB.
• Experience delivering data solutions exclusively within the Financial Services and Insurance (FSI) sectors, maintaining compliance with strict regulatory and data privacy standards.
• Experience deploying and managing databases within major cloud environments such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.  A reasonable estimate of the current range is $102,800 to $171,300. 

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.