Data Catalog

Data Catalog Jobs

3 jobs found

9d ago

Data Engineer Associate - Asset Management Group (PySpark, Hadoop, SQL)

PNC Financial Services Group Birmingham, AL

Birmingham, AL

9d ago

$45k - $142k/yr Full time Asset Management Big Data Bigdata

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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 AccommodationRequest@pnc.com 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

Refer to the California Consumer Privacy Act Privacy Notice to understand how PNC may use or disclose your personal information in our hiring practices.

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9d ago

Data Engineer II

Inland Empire Health Plan Rancho Cucamonga, CA

Rancho Cucamonga, CA

9d ago

$104k - $138k/yr Full time Analytics Azure Data Factory Azure Databricks

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Job Description

IEHP offers a benefits-forward, mission-driven environment where you can grow as a Data Engineer II while making a tangible impact on care delivery. You will design, build, and maintain data warehouse ETL processes to boost data reliability, accessibility, and analytics, with oversight of the enterprise data warehouse back end. The role features a competitive salary, a hybrid work schedule, and a comprehensive benefits package that supports health, retirement, and well-being. The culture centers on serving others and is built around healing and inspiring the human spirit.

Pay range: USD 104,041.60 – 137,841.60 per year

Benefits

Competitive salary
Hybrid schedule
State of the art fitness center on-site
Medical insurance with dental and vision
Life, short-term, and long-term disability options
Career advancement opportunities and professional development
Wellness programs that promote a healthy work-life balance
Flexible Spending Account – Health Care/Childcare
CalPERS retirement
457(b) option with a contribution match
Paid life insurance for employees
Pet care insurance

Key Responsibilities

Design and implement data warehouse ETL solutions using SSIS, Azure Data Factory, Synapse Analytics, Azure Data Bricks, and PySpark ETL
Develop and deploy data collection processes aligned with the data warehouse
Source data from legacy systems to support a centralized data warehouse and reporting platform
Create technical solutions to meet Data Warehouse, BI and Analytics requirements
Collaborate with informaticists and analysts to translate analytic needs into technical solutions
Contribute to data integration strategies and the vision for data architecture
Build and maintain optimal data pipeline architectures based on microservices aligned with platform and application requirements
Partner with the Data Engineering, BI & Analytics teams, the Data Warehouse Architect, and the Data Systems Architect to design usable, complete, and accurate enterprise data solutions
Support data infrastructure needs for stakeholders including Executive, Product, Data and Design teams
Analyze user requirements and translate them into database specifications, implementing them in database code
Provide detailed analysis of data issues, data mapping, and automation to improve data quality
Assemble large, complex data sets to meet functional and non-functional business requirements
Identify and implement process improvements such as automating pipelines, optimizing data ingestion, and designing scalable infrastructure
Create, maintain, and optimize SQL queries and routines
Investigate data quality issues to determine root causes and implement solutions
Develop, adopt, and enforce Data Warehouse and ETL standards and architecture
Monitor and support ETL processes to ensure data source integrity
Facilitate problem management and communication among data architects, managers, informaticists, and analysts
Perform source-to-target mapping validations and document results
Identify, document, and execute unit tests; lead code reviews and document results
Provide ongoing proactive technical support for ETL and data warehouse systems to ensure business continuity
Perform other duties as needed to support Health Plan operations and departmental needs

Requirements

Four years of relevant work experience
Experience with logical, dimensional, and physical data modeling concepts
Strong background in database systems with solid SQL skills
Experience with orchestration tools, Azure DevOps, and CI/CD
Intermediate experience with the following technologies and tools:
- Azure Data Catalogue / Purview
- Azure Cloud
- Databricks
- Power BI Dataflows
- Power Query
- Azure Cosmos
- Azure Monitor
- PowerShell
- Python
- PySpark, Spark, Hadoop, Kubernetes, and RDMIS development is highly desirable
Bachelor's degree from an accredited institution is required
Master’s degree from an accredited institution is preferred
Azure Data Engineering Certification is preferred

Technologies

SQL Server Integration Services (SSIS)
Azure Data Factory
Synapse Analytics
Azure Databricks
PySpark
SQL, T-SQL
Power BI Dataflows
Power Query
Azure Cosmos
Azure Monitor
PowerShell
Python
Databricks, Spark, Hadoop
Kubernetes
RDMIS
MS SQL Server
Azure Data Catalogue / Purview
Azure Cloud
Azure DevOps

Work Model and Location

This position operates on a hybrid schedule with remote work on Mondays and Fridays, and onsite presence Tuesday through Thursday in Rancho Cucamonga, CA.

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1mo ago

Data Engineer

Steel Warehouse South Bend, IN

South Bend, IN

1mo ago Closed

Full time Alation Analytics Azure Data Factory

This position is no longer accepting applications (closed Jun 11, 2026).

Job Description

Steel Warehouse is expanding its data capabilities with a Data Engineer who will design, build, and optimize scalable data pipelines and architectures. This role enables the consolidation of diverse data sources, supports analytics, and fosters data-driven decision making through big data technologies and cloud platforms. The position is based onsite in South Bend, IN.

Responsibilities

Design, develop, and maintain robust ETL or ELT pipelines to ingest, transform, and load data from multiple sources
Construct and optimize data models to support analytics and reporting use cases
Ensure data quality, integrity, and reliability via monitoring, validation, and testing
Establish and support data governance practices, including data lineage, cataloging, and metadata management
Enforce data standards, naming conventions, and access controls across datasets
Collaborate with business stakeholders to define data ownership, definitions, and quality expectations
Manage and optimize data storage solutions such as data warehouses, data lakes, and lakehouses
Apply performance tuning and cost optimization strategies
Maintain documentation for data architecture, pipelines, and governance processes
Support deployment and orchestration of data workflows using modern tools
Troubleshoot and resolve data issues in a timely manner

Requirements

Bachelor’s degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience working with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms such as Azure, AWS, or GCP
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts including star schema and normalization
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Technologies

SQL
Python
Spark
Azure
AWS
GCP
Snowflake
BigQuery
Redshift
Fabric
Delta Lake
Microsoft Fabric
Microsoft Purview
Collibra
Alation
Airflow
Azure Data Factory

Benefits

401(k)
401(k) matching
Dental insurance
Employee assistance program
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Parental leave
Professional development assistance
Referral program
Tuition reimbursement
Vision insurance

Education & Experience

Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience
2–5+ years of experience in data engineering or related roles
Strong SQL skills and experience with relational databases
Experience building data pipelines using Python, Spark, or similar tools
Familiarity with cloud platforms (Azure, AWS, or GCP)
Experience with data warehousing technologies such as Snowflake, BigQuery, Redshift, or Fabric
Understanding of data modeling concepts (star schema, normalization)
Experience supporting or working within data governance frameworks (data quality, lineage, access control, or catalog tools)

Work Location

Work location: In person in South Bend, Indiana (onsite)

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