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Sap Bods Engineer Jobs

2 jobs found

1mo ago

SAP Data Engineer, Expert

PG&E Corporation Oakland, CA

Oakland, CA

1mo ago Closed

$140k - $238k/yr Full time Data Engineer Data Governance Data Integration

This position is no longer accepting applications (closed Aug 27, 2026).

Job Description

Location: Oakland, CA (hybrid) • Salary: USD 140,000 - 238,000 per year

Benefits

Join a hybrid work environment in Oakland and contribute to enterprise data governance across SAP landscapes. The role offers a competitive salary within the stated range and a pathway to lead data governance initiatives that support analytics, compliance, and operational excellence.

Position Summary

The ideal candidate will design, implement, and govern enterprise data management within the SAP ecosystem, bringing hands-on expertise in MDG and BODS. You will collaborate with business data owners, IT teams, and enterprise architects to ensure high quality, governed data across SAP S/4HANA, ECC, and related systems, enabling trusted data for analytics and operations.

Responsibilities

Develop and deploy enterprise data governance structures aligned with the organization’s data strategy
Establish data policies, standards, and procedures for SAP master and transactional data
Define data ownership and stewardship models across business domains
Ensure adherence to regulatory, security, and privacy requirements
Design, implement, and manage SAP MDG solutions for specified domains
Configure MDG data models, workflows, validations, and governance processes
Implement data approval workflows and governance lifecycles
Develop custom governance rules and business validations
Define and implement data quality frameworks within the SAP landscape
Establish data quality monitoring and remediation processes
Define and track data quality KPIs and metrics
Design and implement ETL pipelines using BODS for migration, cleansing, transformation, and integration
Build data quality jobs and profiling routines
Develop data reconciliation and validation frameworks
Support large-scale data migration projects from ECC to S/4HANA
Collaborate with enterprise architects and SAP functional teams to maintain consistent data models
Define data lifecycle management policies and data change governance processes
Oversee data stewardship workflows and implement audit and compliance controls for master data
Define data synchronization and replication strategies
Shape migration strategies and data cleansing approaches
Engage with business data owners, data stewards, SAP functional consultants, and IT architecture teams
Lead data governance workshops and trainings

Requirements

Bachelor's Degree in Computer Science or an equivalent qualification
At least seven years of experience in SAP data management or governance
Hands-on experience with SAP S/4HANA and SAP ECC
3+ years working with SAP MDG
3+ years working with SAP BODS
Experience in large enterprise SAP programs
Experience with S/4HANA data migration programs
Experience with enterprise data governance programs
Exposure to cloud data architectures
Knowledge of data catalog and metadata tools
Strong stakeholder communication, strategic thinking, data governance leadership, problem solving, and process design skills

Technologies

SAP Master Data Governance (MDG)
SAP BusinessObjects Data Services (BODS)
SAP S/4HANA
SAP ECC

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1mo ago

Senior Data Engineer

Delta Dental Alpharetta, GA

Alpharetta, GA

1mo ago Closed

$160k - $165k/yr Full time Senior Analytics Azure

This position is no longer accepting applications (closed Aug 7, 2026).

Job Description

Delta Dental is seeking a Senior Data Engineer in Alpharetta, GA on a hybrid schedule. This role focuses on designing, building, and maintaining enterprise data engineering solutions, including ETL and ELT pipelines, data warehouse and data lake architectures, governance, and analytics. You will work with Azure, SAP Data Services, Oracle, and SQL Server, bringing at least five years of relevant experience and the ability to appear in the office as required. The position offers a compensation range of USD 160,056 to 165,056 per year.

Responsibilities

Design, develop, and implement enterprise data engineering solutions to support business processes and analytical needs.
Collaborate with Business Analysts, Architecture teams, and cross-functional stakeholders to gather requirements and translate them into scalable data models, cloud data pipelines, and integration frameworks.
Build data integration processes with SAP Data Services, SSIS, and Azure Data Factory to extract, transform, and load structured and unstructured data across heterogeneous systems.
Develop and optimize data processing platforms using Microsoft Azure services, including Azure Data Factory and Azure SQL Database.
Design end-to-end ETL and ELT pipelines for ingestion, transformation, and analytical data preparation; implement complex SQL logic, stored procedures, packages, and functions in Oracle and SQL Server.
Develop and maintain data warehouse and data lake architectures using Star and Snowflake schema designs.
Perform data profiling and data quality checks, enforcing governance standards to ensure integrity and compliance across the data lifecycle.
Prototype solution designs for review with business and architecture teams; evaluate and select cloud technologies for ingestion, transformation, reporting, visualization, and analytics.
Design and develop dashboards, KPIs, and visualizations using Power BI to support enterprise reporting needs.
Automate manual workflows using Python and Unix shell scripting.
Troubleshoot data pipeline failures, optimize performance, and resolve data-related issues to minimize business disruption.
Participate in data architecture discussions, contributing to integration strategies and modernization efforts.
Prepare technical design documents, mapping specifications, workflow diagrams, and solution architectures; ensure designs align with security and organizational standards.
Support all phases of the Software Development Lifecycle, including requirements analysis, design, development, testing, deployment, and production support.
Mentor junior team members, sharing best practices, coding standards, and cloud data engineering methodologies.
Must reside within a reasonable commuting distance from headquarters and be able to appear in the office as required.

Requirements

Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a related field, plus five years of progressive post-baccalaureate experience in ETL development or data engineering roles.
Experience developing and optimizing entity relationship models using ERWIN and crafting advanced SQL queries to support analytics.
Designing, developing, and tuning enterprise database schemas in Oracle and Microsoft SQL Server, including tables, views, stored procedures, indexing strategies, and performance tuning.
Building ETL and data integration workflows with SAP Data Services, SSIS, and Azure Data Factory, including pipelines, datasets, triggers, integration runtimes, and source-to-target mapping documents.
Designing dimensional data models for OLTP and OLAP using Star and Snowflake schemas, applying normalization and denormalization practices.
Developing automation scripts with Python and Unix shell scripting to streamline ingestion, transformation, validation, and cloud analytics processes.
Creating interactive dashboards and reports with Power BI for operational and analytical insights.
Enforcing data integrity, accuracy, and compliance via data quality checks, validation rules, and governance frameworks.
Implementing data governance and quality processes, including profiling, reconciliation checks, error handling, and anomaly detection.
Designing and managing scheduling and workflow automation using ADF triggers, Jenkins, SQL Server Agent, or TIDAL to orchestrate ETL and data pipelines.
Using version control systems such as GitHub or SVN to manage source code and maintain consistency across ETL pipelines and cloud resources.
Experience across all phases of the Software Development Lifecycle, including requirements gathering, design, development, documentation, testing, deployment, and production support.
Ability to perform troubleshooting, root cause analysis, and performance optimization of SAP BODS jobs, SQL queries, ADF pipelines, and cloud-based data transformations.

Technologies

SAP Data Services, SSIS, Azure Data Factory, Azure SQL Database
Oracle, Microsoft SQL Server, Power BI
Python, Unix Shell scripting
ERWIN, GitHub, SVN, Jenkins, SQL Server Agent, TIDAL
SAP BODS, Star schema, Snowflake schema

Benefits

Competitive base pay plus incentive compensation
401(k) with robust matching and additional contributions
Comprehensive medical and prescription coverage
100 percent employer-paid dental and vision benefits
Wellbeing program with meaningful financial incentives
Generous paid time off, plus 12 paid holidays and your birthday off
Culture focused on growth and learning with career development, tuition reimbursement, and a recognition program
Family support including adoption assistance, fertility services, and care for children, elders, and pets
Opportunities for social responsibility and volunteer involvement
Employee discount program

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