Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)
Job Description
Data Engineer Associate in PNC's Asset Management Group, onsite in Birmingham, AL, focused on building and maintaining data pipelines using PySpark, Hadoop and SQL, with data ingestion, transformation, and governance responsibilities.
Responsibilities
- Assist in developing, supporting and implementing data solutions for multiple applications to meet business objectives and user requirements, applying technical knowledge to design, build and maintain technology solutions.
- Perform data requirement analysis and develop data preparation processes for targeted data solutions.
- Assist in designing and building data service infrastructure across multiple data platforms in alignment with the workflow.
- Participate in the development and deployment of data solutions for multiple applications to ensure scalability, availability and maintainability.
- Consult on data migration and transformation to ensure accuracy and security of data solutions.
Requirements
- Hands-on experience with PySpark and Hadoop ecosystems, including developing and maintaining data pipelines using Spark, Hive and HDFS.
- Strong SQL skills with the ability to understand business logic, write optimized queries, and work with large analytical datasets in Hive/Impala.
- Experience building and supporting data ingestion and transformation pipelines, including source to target mappings, data validation, and quality checks.
- Familiarity with agile delivery models, collaborating within cross-functional teams (developers, analysts, QA, product owners) and participating in sprint-based development and releases.
- Working knowledge of data governance and tooling, such as metadata management (e.g., Alation), documentation standards, and controlled promotion of data to production environments.
- A university/college degree is typically required, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job-specific certification(s), and experience may be considered.
Technologies
- PySpark
- Hadoop
- Spark
- Hive
- HDFS
- SQL
- Impala
- Alation
Benefits
- Medical and prescription drug coverage with a Health Savings Account feature
- Dental and vision coverage
- Life insurance for employee and spouse/child
- Short and long-term disability protection
- 401(k) with PNC match
- Pension and stock purchase plans
- Dependent care reimbursement account
- Back-up child and elder care
- Adoption, surrogacy and doula reimbursement
- Educational assistance, including select programs fully paid
- Wellness program with financial incentives
- Maternity and/or parental leave
- Up to 11 paid holidays each year
- Approximately 9 occasional absence days each year
- Between 15 and 25 vacation days each year
Compensation
- Base salary: 45,000.00 – 142,250.00 USD per year
- Salary may vary by geographic location, market data and individual skills, experience, and education. This role is incentive eligible with payout based on company, business and/or individual performance.
Application details
- Application window: Generally posted for two business days from 04/24/2026, though it may be longer at the company's discretion.
Disability accommodations
- Accommodation requests can be submitted via email to [email protected] with “accommodation request” in the subject line. Please include your name, the job ID, and your preferred method of contact.
- For accommodation assistance, call 877-968-7762 and say "Workday".
Equal employment opportunity
- 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.
California residents
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