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Senior Data Engineer
4500 Marathon Petroleum Company LPSan AntonioPosition SummaryAs a Senior Data Engineer, you will design, develop, and optimize scalable data pipelines and cloud-based data solutions using modern data architecture, Azure data services, including
Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer
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Senior Data Engineer
DOWCParsippanyGet AI-powered advice on this job and more exclusive features.This range is provided by DOWC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.Base
Senior Data Engineer
Highmark HealthNashvilleCompany :enGenJob Description Job Summary CANDIDATE MUST BE US Citizen (due to contractual/access requirements)This role is an integral senior member of a technical team, responsible for supporting th
Senior Data Engineer
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Senior Data Engineer
EmployerDirect HealthcareWausauJob Summary Lantern is looking for a Senior Data Engineer to join our Data Engineering team. The ideal candidate will have an advanced knowledge of building data pipelines, batch processing frameworks
Senior Data Engineer
pdsinc.comRochesterEducation requirements Bachelor's degree in Computer Science, Information Technology or related field.Core Requirements5+ years of experience in data engineering / data platform developmentHands-on ex
Senior Data Engineer
ICE Clear Europe LimitedAtlantaOverview Job PurposeICE Data Services (an Intercontinental Exchange company) is seeking a Senior Data Engineer to join its Data Impact & Innovation team. This team supports a variety of reference data
Senior Data Engineer
Westinghouse Electric CompanyPennsylvaniaAre you interested in being part of an innovative team that supports Westinghouse's mission to provide clean energy solutions? At Westinghouse, we recognize that our employees are our most valuable as
Senior Data Engineer
Brookfield Properties Multifamily LLCCharlestonLocation: Charleston – 997 Morrison Drive, Suite 402 Position Summary The Senior Data Engineer is responsible for designing, building, and optimizing scalable data pipelines and cloud-based data syste
Senior Data Engineer
Ellisor GroupSan FranciscoNo 3rd party/C2CClient is re‑writing the risk model for the non‑QM mortgage market – combining data analytics, proprietary risk intelligence, and Loan Defect Insurance to turn mortgage manufacturing r
Senior Data Engineer
Saint-Gobain North AmericaOklahoma CityAbout Verifi Verifi, part of Saint-Gobain, is an expanding global SaaS and IoT technology company focused on the construction industry. Dedicated to connecting the physical world with intelligent soft
Senior Data Engineer
BrooksourceSt LouisSummary Unable to Provide Sponsorship or do C2CWe are seeking a Senior Data Engineer to support a Fortune 50 health insurance organization, driving impactful AI/ML initiatives across the pharmacy doma
Senior Data Engineer
MediumOregonAbout the role You will be our Senior Data Engineer, reporting to engineering leadership and taking ownership of a data platform in its early stages. This is a high-ownership, build-from-the-foundatio
Senior Data Engineer
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Senior Data Engineer
Framework VenturesCedar GroveSenior Data Engineer About Keyrock Since our beginnings in 2017, we've grown to be a leading change‑maker in the digital asset space, renowned for our partnerships and innovation.Today, we partner wit
Senior Data Engineer
INKUCedar GroveBuild the data foundation for the an advanced brand-consistent AI content generation platform. Design scalable ETL pipelines and graph database architectures that enable our AI to understand and maint
Senior Data Engineer
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Senior Data Engineer
- San Antonio, Colorado, United States
- San Antonio, Colorado, United States
À propos
As a Senior Data Engineer, you will design, develop, and optimize scalable data pipelines and cloud-based data solutions using modern data architecture, Azure data services, including Data Lake, Synapse Analytics, Azure Functions, and Databricks. This role also includes close collaboration with analytics, product, architecture, governance, and business teams to translate requirements into scalable data solutions. The ideal candidate brings strong technical depth (proficiency in Python, SQL, Spark, and orchestration tools such as Azure Data Factory and/or Databricks Workflows), a continuous improvement mindset, and the ability to mentor while contributing to engineering standards, reusable patterns, and solution design reviews. Key Responsibilities
Conduct the design, innovation and optimization of data extraction, ingestion and transformation processes. Facilitate the development and design of complex data architecture to process and store high-volume data sets. Enable the development of complex data pipelines; advocate for and implement data security and privacy measures. Conduct complex data quality and processing tasks using open source and cloud services. Provide technical expertise during critical incidents. Facilitate the adoption of best practices for data security and privacy and collaborate with other departments to ensure seamless data integration. Facilitate the implementation of continuous improvements in data processing methods and drive consistency and best practices across data engineering projects. Solve complex problems; take a new perspective on existing solutions; participate in strategic planning sessions for data infrastructure. Oversee quality assurance and testing for data solutions. Mentor 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. Skills
Big Data Technologies:
Familiarity with Hadoop, Spark, and distributed computing for processing and analyzing large volumes of data. Cloud Platform:
Knowledge of AWS, Azure, or GCP and their associated services for data storage, processing, and analytics. Data Governance:
Ability to establish procedures, policies, and standards ensuring data quality, compliance, and secure handling. Data Integration:
Proficiency in integrating data from various sources using ETL processes, data pipelines, and ingestion frameworks. Data Lifecycle:
Understanding of stages from creation to disposal governed by policies. Data Modeling:
Design and implement data models aligning with business requirements, ensuring integrity, performance, and scalability. Data Operations:
Managing, manipulating, and analyzing data throughout its lifecycle for meaningful insights. Data Pipelines:
Enable reliable flow of data from sources to destinations with ETL. Data Privacy:
Implement practices ensuring protection of personal and sensitive information. Data Quality Management:
Knowledge of quality dimensions, methodologies, and best practices. Data Security:
Awareness of cybersecurity best practices and protection of sensitive information. Data Warehousing:
Monitoring and observability of data pipeline performance and system health. DevOps:
Integration of software development and IT operations for continuous delivery with security focus. General Programming:
Use of a programming language to automate tasks. Metadata Management:
Proficiency in solutions for data discovery, lineage tracing, and asset management. NoSQL Databases:
Use of NoSQL for flexible, scalable storage of unstructured data. Real-Time Processing:
Handling data immediately with minimal latency. Minimum Qualifications
Bachelor’s Degree in Information Technology, related field or equivalent experience. 5+ years of relevant experience. Location
San Antonio, Texas (Additional locations: Findlay, Ohio). Benefits
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. EEO Statement
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.
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Compétences linguistiques
- English
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