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Data Engineer, Python Analytical Environment
PNCData Engineer within PNC's Data Analytics Team developing data services to meet business objectives. Collaborating closely with users and business partners on multiple applications.
Posted 7/14/2026full-timeCleveland • Alabama, Ohio, Pennsylvania, Texas • 🇺🇸 United StatesMid-LevelSenior💰 $86,250 - $172,500 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and implementing data services across multiple applications, ensuring scalability, availability, and maintainability. Proficient in data migration, transformation processes, and utilizing various data platforms to meet business objectives.
Highest-signal resume keywords
Python ProgrammingBig Data ConceptsHadoop/Hive QueriesData AnalyticsMachine Learning (ML)
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python ProgrammingBig Data ConceptsHadoop/Hive QueriesImpalaREST APILinuxShell ScriptingData AnalyticsData MiningData Science
Soft Skills
Analytical ThinkingProblem Solving
Tools & Technologies
Microsoft Power Business Intelligence (BI)
Industry Keywords
Data ServicesData SolutionsData MigrationData TransformationScalabilityAvailabilityMaintainability
Tech Stack
Tools & technologiesHadoopLinuxPythonShell Scripting
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 3+ years of relevant / direct industry experience
- Skills required: Python Programing, Big Data Concepts, Hadoop/Hive queries, Impala, REST API, Linux, Shell Scripting
- Analytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning (ML), Microsoft Power Business Intelligence (BI), Problem Solving
- Bachelors
Benefits
Comp & perks- 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
- maternity and/or parental leave
- up to 11 paid holidays each year
- 9 occasional absence days each year
- between 15 to 25 vacation days each year, depending on career level; and years of service