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Position Summary
The Senior Data Engineer will join the Data Platforms Geographic Information Systems (GIS) Team within the Midstream IT Solution Delivery organization. This role offers an exciting opportunity to design and build the spatial foundations necessary to digitally transform MPC’s Refining and Midstream operations through geospatial intelligence. This technical data engineer will play a pivotal role in understanding, harnessing, and applying strong analysis, modeling, management, integration, and quality across our spatial data technology. The candidate will reside on a platform team utilizing Agile methodologies and act as an innovative specialist in the turning of raw location-based information into actionable insights. Additionally, this position works closely with the MPC Refining and Midstream IT product lines, business technology partners, software vendors, and other stakeholders to deliver sophisticated capabilities, analytics, and mapping solutions dependent upon geographically referenced data.
This position belongs to a family of jobs with increasing responsibility, competency, and skill level. Actual position title and pay grade will be based on the selected candidate’s experience and qualifications.
Key Responsibilities
•Conducts the design, innovation and optimization of data extraction, ingestion and transformation processes.
•Facilitates the development and design of complex data architecture to process and store high-volume data sets.
•Enables the development of complex data pipelines; advocates for and implements data security and privacy measures.
•Conducts complex data quality and processing tasks using open source and cloud services.
•Provide technical expertise during critical incidents.
•Facilitates the adoption of best practices for data security and privacy and collaborates with other departments to ensure seamless data integration.
•Facilitates the implementation of continuous improvements in data processing methods and drives consistency and best practices across data engineering projects.
•Solves complex problems; takes a new perspective on existing solutions; participates in strategic planning sessions for data infrastructure.
•Oversee quality assurance and testing for data solutions.
•Mentors less experienced data engineers.
Education and Experience
•Bachelor’s Degree in Information Technology, related field or equivalent experience
•5+ years of relevant Data Engineering experience
•5+ years proficiency performing information technology responsibilities with industry-standard GIS software (such as ESRI’s ArcGIS) required.
•Strong expertise administrating enterprise geodatabases (SDEs), spatial analysis, and geospatial data administrator skills.
+ Strong expertise with industry standard models (such as ESRI’s Utility Network, PODS, or UPDM) and data programming skills (such as Python, ESRI JavaScript API, Experience Builder, REST API, and SQL).
+ Deep knowledge of ESRI products Portal, ArcGIS Server, SDE, GeoEvent Server, Image Server, Field Maps, Survey123, and other mobile applications.
+ Experience developing and supporting ETL operations between GIS applications/database using FME Desktop or Server.
+ Experience developing custom GIS solutions and GIS mobile applications
+ Experiencing operating an enterprise GIS within Azure cloud environments.
•Previous experience within the Oil and Gas industry preferred.
Skills
•Big Data Technologies - Familiarity with big data technologies and frameworks, such as Hadoop, Spark, and distributed computing, for processing and analyzing large volumes of data.
•Cloud Platform - Knowledge of cloud-based data platforms, such as AWS, Azure, or GCP, and their associated services for data storage, processing, and analytics.
•Data Governance - Ability to establish and oversee a set of procedures, policies, and standards that ensure the effective and efficient management of an organization's data assets. This includes ensuring data quality, compliance with relevant laws and regulations, and secure data handling practices. It also involves the coordination between different departments to ensure that data is accurate, accessible, and used responsibly and ethically.
•Data Integration - Proficiency in integrating data from various sources, including structured and unstructured data, using technologies such as ETL (Extract, Transform, Load) processes, data pipelines, and data ingestion frameworks.
•Data Lifecycle - The data lifecycle refers to the sequential stages that data goes through from its creation or acquisition to its eventual disposal. These stages typically include data creation, storage, processing, analysis archival, and eventual deletion or destruction, with each phase governed by specific policies and practices.
•Data Modeling - Skill in designing and implementing data models that align with business requirements, ensuring data integrity, performance, and scalability.
•Data Operations - Data operations refer to the various actions and processes involved in managing, manipulating, and analyzing data throughout its lifecycle. These operations encompass tasks such as collection, storage, retrieval, transformation, and visualization of data to derive meaningful insights and support decision-making.
•Data Pipelines - Data pipelines are a set of processes that enable the flow of data from one or multiple sources to a destination, often involving tasks such as extraction, transformation, and loading (ETL). These pipelines are designed to efficiently and reliably move and process data, ensuring its quality and accessibility for various analytical and operational purposes.
•Data Privacy - Ability to understand and implement practices that ensure the protection and confidential handling of personal and sensitive information. This includes knowledge of relevant laws and regulations (such as GDPR or HIPAA), the ability to design and enforce policies that safeguard data, and the skills to manage data access rights and consent protocols.
•Data Quality Management – Strong understanding of data quality dimensions, methodologies, and best practices to establish and maintain data quality standards and processes.
•Data Security - Knowledge of data privacy regulations, cybersecurity best practices, and techniques for protecting sensitive information and ensuring compliance.
•Data Warehousing (DW) - Knowledge of monitoring and observability tools and practices for tracking data pipeline performance, data quality, and system health.
•DevOps- A set of practices that combines software development and information-technology operations which aims to shorten the systems development life cycle and provide continuous delivery with high software quality and a security first approach.
•General Programming – Applies a computer language to communicate with computers using a set of instructions and to automate the execution of tasks.
•Metadata Management – Proficiency in metadata management solutions to enable efficient data discovery, data lineage tracing, and data asset management.
•NoSQL Databases – NoSQL databases are a type of database management system that provides a flexible and scalable approach to storing and retrieving data, often diverging from the traditional relational database model. Unlike relational databases, NoSQL databases are designed to handle large volumes of unstructured or semi-structured data, offering high performance and horizontal scalability for modern applications.
•Real Time Processing – Real-time processing refers to the method of handling data or performing computations immediately as they occur, without any noticeable delay. In real-time processing systems, data is processed, and responses are generated within a timeframe that meets the requirements of the application or task, typically within milliseconds or microseconds.
MINIMUM QUALIFICATIONS:
Bachelor’s Degree in Information Technology, related field or equivalent experience.
5+ years of relevant experience
As an energy industry leader, our career opportunities fuel personal and professional growth.
Location:
Findlay, Ohio
Additional locations:
Denver CO, San Antonio, Texas
Job Requisition ID:
00017504
Location Address:
539 S Main St
Education:
Bachelors: Information Technology
Employee Group:
Full time
Employee Subgroup:
Regular
Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here.
If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at talentacquisition@marathonpetroleum.com. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at https://mympcbenefits.com.The hired candidate will also be eligible for a discretionary company-sponsored annual bonus program.
Equal Opportunity Employer: Veteran / Disability
We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.