Data Engineer-ETL| Informatica | SQL PL/SQL | RDBMS | Data Warehousing
Location
United States
Posted
5 days ago
Salary
$86.3K - $143.8K / year
Seniority
Mid Level
Job Description
Data Engineer-ETL| Informatica | SQL PL/SQL | RDBMS | Data Warehousing
PNC
Job Profile Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Data Engineer - ETL| Informatica | SQL PL/SQL | RDBMS | Data Warehousing within PNC's Technology organization, you will be based in Aurora IL Required Skills & Experience Strong experience in data engineering and ETL development Strong experience with Informatica (PowerCenter and/or Informatica Cloud/IICS) Advanced SQL, PL/SQL skills and experience with large-scale data transformations Experience with data warehousing platforms (e.g. SQL Server, Oracle, Teradata ) Writing and optimizing code for data pipelines to ensure systems are highly efficient, scalable, and capable of handling large-scale financial datasets. Proficient with code deployment tools such as Udeploy, Artifactory Experience with cloud data platforms (Azure, AWS, or GCP) Knowledge of financial and cost data, preferably Activity Based Costing Experience with data quality, reconciliation, and performance optimization Collaborate with Finance Product owners, analysts to gather requirements and implement data solutions that meet business needs. Analyzes and evaluates requirements by working with users, product owners and management and provides recommendations on the scope and complexity of the solution. Proactive and detail-oriented professional with strong sense of ownership Creative problem solver who can tackle complex data challenges. Mentor who can guide junior engineers and contributes to team growth. Build and optimize data architectures ensuring high performance, reliability, and security. Proposes & designs data solutions to address complex business needs. Prepares technical and procedural documentation required. Acts as a lead by developing and documenting technical specifications for proposed solutions. This includes hands-on coding and testing as well to support solutions. Participates in code reviews & overall testing. Excellent problem-solving and collaboration skills Familiarity with Agile/Scrum development environments Strong collaboration and communication skills for working with finance and business stakeholders Soft Skills Excellent communication skills, with the ability to present insights to both technical and non technical audiences Strong ownership mindset and accountability for deliverables end to end Demonstrated ability to influence stakeholders and recommend data driven solutions Collaborative team player who can also work independently with minimal oversight Mentorship mindset—able to guide junior analysts and review analytical work This position may be eligible for remote work in select geographic locations, subject to approval by PNC. If approved, work must be conducted from a quiet, secure, and confidential home-based workspace. Occasional in-office participation may be required based on business needs. PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description - Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. - Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. - Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. - Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. - Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions. PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be: - Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions. - Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework. Qualifications Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position. Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Informatics, Machine Learning (ML), PL/SQL (Programming Language) CompetenciesApplication Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle Work ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered. EducationBachelors CertificationsNo Required Certification(s) LicensesNo Required License(s) Pay Transparency Base Salary: $86,250.00 – $143,750.00 Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance. Application Window Generally, this opening is expected to be posted for two business days from 04/23/2026, although it may be longer with business discretion. Benefits PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives. In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.To learn more about these and other programs, including benefits for full time and part-time employees, visit pncthrive.com. Disability Accommodations StatementIf an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions. Equal Employment Opportunity (EEO)PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law. This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history. California Residents Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.
Related Guides
Related Categories
Related Job Pages
More Data Engineer Jobs
• Develop data models that support exploratory analyses, dashboards, and predictive models. • Collaborate with Business and Data Science teams to structure analytical datasets (Data Marts, Views, Semantic Layers, Feature Store). • Design and optimize SQL queries for high-volume data analysis. • Document applied business rules. • Explore data to identify patterns, anomalies, and opportunities for process improvements. • Implement data governance and quality best practices (lineage, catalog, consistency). • Support product, marketing, and business teams in understanding data and enabling ad-hoc analyses.
Data Architect
CoverysCoverys provides medical professional liability insurance, data analytics, risk management, and more.
•The Data Architect will help design, build, and evolve our next‑generation enterprise data platform & data integration pipeline. •This role is central to our transformation toward a modern, governed, cloud‑based data ecosystem that supports all functions at Coverys (notably underwriting, claims, actuarial, finance, and enterprise analytics etc.). •The Data Architect will help define the architectural blueprint, establish data modeling standards, and guide the development of scalable, automated data pipelines in Snowflake. •In addition to design of the architecture, this position will work closely with business and technology teams to ensure data is accurate, trusted, and available for advanced analytics, reporting, and operational decision‑making. •Design and maintain enterprise data architecture aligned to business domains (Policy, Party, Claims, Billing, Underwriting, etc.). •Ensure data architecture design aligns to enterprise architecture standards & partners closely with Enterprise Architecture. •Develop canonical and semantic data models to support analytics, reporting, and operational use cases. •Define standards for data modeling, data quality, naming conventions, metadata, lineage, and documentation. •Partner with business stakeholders to translate requirements into scalable data structures. •Build ELT/ETL pipelines using modern cloud-native tools and frameworks. •Lead the migration from legacy batch processes to automated, event-driven, or CDC-based ingestion patterns. •Implement data quality rules, validation frameworks, and reconciliation logic. •Optimize Snowflake workloads for performance, cost, and reliability. •Design and oversee medallion-style data layers (bronze/silver/gold) for ingestion, curation, and consumption. •Work with Data Governance to establish data dictionaries, lineage, classification, data quality and stewardship models. •Ensure consistent use of canonical identifiers across systems and domains. •Promote data-as-a-product principles and guide teams toward reusable, scalable data assets. •Partner with business analysts, data scientists, actuaries, and analytics teams to support data needs. •Mentor SQL developers and analytics engineers transitioning into modern data engineering roles. •Mentor and coach the data engineering team & lead the development of pipeline and architecture platforms. •Provide architectural oversight for major data initiatives across the enterprise. •Support evolving business needs, as applicable.
MDM Informatica C360 with Data Engineer
Rootshell Enterprise Technologies, Inc.Rootshell Enterprise Technologies Inc. is a recognized provider of professional IT Consulting services in the US.
Role Description We are actively seeking an MDM Informatica C360 with Data Engineer for one of our clients. - Posting Title: Informatica C360 Developer with Data Engineering - Primary Skills: Informatica C360, Python, Hadoop, SQL - Details of the application, domain, as appropriate: - Design, develop and maintain the MDM solution using Informatica MDM C360 - Configure MDM entities, schema, systems and trust settings in HUB - Create/update match and merge rules for different business groups/organizations - Integrate the MDM solution with other enterprise systems - Develop custom scripts in Python to support data processing and analysis - Implement data processing workflows using Hive - Write complex SQL queries and optimize database performance for efficient data processing - Troubleshoot and debug issues related to MDM, data pipelines, workflows, and ETL processes - Perform testing and debugging of code to ensure high quality deliverables - Provide support for MDM Data Model and C360 Implementation to customers, business, and cross-functional partners - Key responsibilities and expected output: - Interface with business and IT stakeholders to gather requirements, create user stories and validate the same - Work with data engineers to explain data engineering requirements - Design, Development, Testing, and rollout of Tableau Dashboards Qualifications - Bachelor's degree in Computer Science, Software Engineering, or related field - Minimum 5 years of experience with Informatica MDM Customer C360 - Experience with Python or other scripting languages - Minimum 2 years of experience in data warehousing and analysis using Hive - Experience working with big data technologies such as Hadoop, Spark, and Kafka - Strong SQL skills - Excellent problem solving and debugging skills Requirements - Familiarity with data governance and data management best practices - Experience with data visualization tools such as Tableau, Power BI, or QlikView Any other information considered "critical" / "Useful" We are seeking an experienced Informatica C360 Developer with strong data engineering skills to join our team. The ideal candidate will be responsible for designing, developing, testing, and maintaining data pipelines and workflows in Informatica C360 (Customer 360), as well as leveraging Hive for data. Work Experience - 5 years Mode of Engagement - Managed Services
• Build AI-powered tools and data infrastructure • Develop full-stack applications bridging AI, data, and user needs • Create Slack-based bots for incident investigation and production log analysis • Implement ClickHouse analytics pipelines and real-time anomaly detection • Develop constrained, repeatable diagnosis agents and internal tooling • Collaborate closely with TechOps, Connectivity, and Data teams



