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2mo ago

Data Engineer I

Murphy USA El Dorado, AR

El Dorado, AR

2mo ago Closed

Full time Big Data Bigdata Cloud

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Murphy USA is seeking a Data Engineer I for an onsite role in El Dorado, AR. You will contribute to developing and supporting data products on a cloud-based data lake, build scalable data pipelines, and empower enterprise analytics by partnering with business units to drive analytics execution. This position emphasizes hands-on development, cross-functional collaboration, and ongoing improvements to data quality and governance across the organization.

Responsibilities

Develop and support data products on a modern cloud-based data lake, applying cross-domain technology knowledge to deliver a robust, scalable data engineering platform.
Provide data services for enterprise analytics, leveraging automated pipelines at scale and streamlining data transformations for priority use cases.
Contribute directly to code development and collaborate with business units and peer technology teams to enable analytics execution.
Partner across the organization to architect, implement, deploy, and maintain data driven system solutions.
Build and simplify enterprise data pipelines with a focus on security, reusability, and data quality.
Debug issues, perform root cause analysis, and participate in proactive maintenance activities to prevent problems.
Contribute to reducing technical debt and adhere to clean code practices.
Bring development experience in one or more languages such as Python, SQL, or PySpark.
Experience with Infrastructure as Code tools, including Databricks Asset Bundled and Terraform.
Engage with the data governance council to define, develop, and review standards, guidelines, and data models to promote data quality and best practices.
Utilize DevOps tools to automate deployment and validation, including test automation of data pipelines.
Write and execute comprehensive testing plans, protocols, and documentation for assigned components of the data system.
Identify defects and implement solutions for issues with code and data system integration.
Effectively plan and collaborate with technical and non-technical teams on business initiatives.

Requirements

Bachelor's degree required.
Minimum 1 year of relevant experience.
Technical knowledge of BI systems design.
Understanding of big data architecture and the technology landscape.
Experience with ETL orchestration.
Strong communication skills.
Comfort working in a fast-paced, multi-task environment.

Technologies

Python
SQL
PySpark
Databricks Asset Bundled
Terraform

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2mo ago

Data Engineer, Analytics (Ranking, AI)

Meta Menlo Park, CA

Menlo Park, CA

2mo ago Closed

$177k - $247k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Meta is hiring a Data Engineer, Analytics (Ranking, AI) to design scalable data architectures and analytics solutions that power Ranking AI within the Ads stack. The role collaborates across engineering, data science, and product teams while upholding data security and governance. This onsite position in Menlo Park, CA offers a salary range of USD 177,000 to 247,000 per year.

Responsibilities

Own the data architecture for multiple large-scale projects, evaluating design options and cost-benefit tradeoffs within systems.
Build and contribute to frameworks that improve the effectiveness of data logging; partner with data infrastructure to triage issues and resolve them.
Collaborate with engineers, product managers, and data scientists to understand data needs and present key insights in meaningful visual formats.
Define and manage Service Level Agreements for data sets in areas of ownership.
Determine and implement security models aligned with privacy requirements; ensure safeguards, address data quality, and evolve governance processes within ownership areas.
Design, build, and deploy collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
Address complex data integration challenges using optimal ETL patterns, frameworks, and query techniques, sourcing data from both structured and unstructured sources.
Assist in owning existing production processes and optimize code through advanced algorithmic concepts.
Optimize pipelines, dashboards, frameworks, and systems to simplify the development of data artifacts.
Influence product and cross-functional teams to identify data opportunities that drive impact.
Mentor team members by giving and receiving actionable feedback.

Requirements

7+ years of experience with SQL.
Experience with ETL processes.
Experience with data modeling.
Experience with at least one programming language such as Python, C++, C#, Scala, or similar.

Technologies

SQL
ETL
Python
C++
C#
Scala

Benefits

bonus
equity
benefits

Preferred Qualifications

Demonstrated ability to integrate AI tools to optimize workflows and drive measurable impact, such as efficiency gains or quality improvements.
Ongoing AI skill development, including prompt engineering and agent orchestration, with ongoing familiarity with emerging AI technologies.
Experience applying responsible, ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
A master's or PhD in a STEM field, with coursework or research in data systems, machine learning, or related areas.

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2mo ago

Data Engineer

Mayo Clinic Rochester, MN

Rochester, MN

2mo ago Closed

$102k - $143k/yr Full time Data Analysis Data Analytics Data Architecture

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

At Mayo Clinic in Rochester, a Data Engineer builds and optimizes data pipelines and data architectures to support analytics across the organization. This role works across cross-functional teams to analyze data, translate business requirements into information needs, and ensure reliable data delivery to stakeholders.

Location

Rochester, MN (onsite)

Salary

USD 102,300 - 143,200 per year

Minimum Experience

2 years

Education

Bachelor's degree in Computer Science, Engineering, or related field; or Associate's degree in Computer Science, Engineering, or related field

Responsibilities

Assemble large, complex data sets that meet functional / non-functional business requirements.
Strong knowledge of SQL required. Ability to identify sets and subsets of information across multiple joins or unions of tables is preferred in addition to writing and troubleshooting SQL queries for data mining
Perform complex data analysis and investigation for customer requests to explain results and to make appropriate recommendations.
Strong understanding of data modeling concepts
Problem solver with the initiative to think critically to identify improvement opportunities (error detection, error correction, root cause analysis)
Understand ETL that will aid in verification and testing of data
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
A successful history of manipulating, processing and extracting value from large disconnected datasets.
Analyze business objectives and develop data solutions to meet customer needs.
Demonstrated ability to effectively participate in multiple, concurrent projects
Improve and customize current data solutions to meet business functional and non-functional requirements.
Research new and existing data sources in order to contribute to new development, improve data management processes, and make recommendations for data quality initiatives.
Perform periodic data quality reviews for internal and external data.
Ensure timely resolution of queries and data issues.
Look for new ways to find and collect data by researching potential new sources of information.
Work with data and analytics experts to strive for greater functionality in our data systems.

Requirements

Bachelor's degree in Computer Science, Engineering, or related field; or Associate’s degree in Computer Science, Engineering, or related field with 2 years of experience.
Demonstrated ability to analyze and profile data as a means to address various business problems through leveraging advanced data modeling, source system databases, or data mining techniques.
May provide consultative services to departments/divisions and committees.
Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, and analytical tools and methodologies (e.g. data analysis, data profiling, modeling, etc.) required.
Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes.
Interpersonal skills and time management skills are required.
Requires strong analytical skills and the ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service.
Experience with data analysis, quality, and profiling; including data exploration tools including but not limited to Rapid SQL, AQT, Information Analyzer, and Informatics.

Technologies

SQL
Rapid SQL
AQT
Information Analyzer
Informatics

Benefits

Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.

Recruiter

Julie Melton

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2mo ago

Lead Data Engineer

American Red Cross Charlotte, NC 🇺🇸 Remote

Charlotte, NC

2mo ago Closed

$140k - $155k/yr Full time Senior Analytics AWS

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Join a mission driven team at the American Red Cross as a Lead Data Engineer on the Enterprise Data & Analytics Group. This role focuses on modernizing data architecture, building scalable data pipelines and an enterprise data warehouse, ensuring data quality, and mentoring teammates. The position is remote with in-person meetings as needed and periodic weekend rotation, based in North Carolina.

Benefits

Medical, dental, and vision plans
Health Spending Accounts and Flexible Spending Accounts
PTO and holidays
401K with up to 6% match
Paid family leave
Employee assistance programs
Short and long term disability and related insurance
Service awards and recognition

Responsibilities

Collaborate with analytics and business teams to refine data models that feed business intelligence tools, boosting data accessibility and enabling data driven decisions across the organization.
Design and implement scalable solutions aligned to data governance standards and the architectural roadmap for data integrations, storage, reporting, and analytics.
Develop, test, and validate data integration solutions; write, automate, and document unit, integration, and functional tests.
Oversee automated deployments via Git pipelines, ensuring changes are properly versioned and deployed efficiently.
Work with multiple teams to streamline deployment workflows and monitor pipelines for reliability and performance.
Analyze data issues to troubleshoot and build a data quality framework that supports issue resolution.
Act as a technical lead by mentoring junior engineers through code reviews, pair programming, and hands on guidance.

Requirements

Education: a four year college degree in Computer Science, Engineering, Mathematics, or related technical field, or an equivalent combination of education and experience.
10 years of relevant experience in data engineering, business intelligence, or related domains.
Authorized to work in the United States; the organization does not sponsor employment visas.
Experience with a range of database technologies and data warehouse schema design patterns.
Cloud based databases, with emphasis on AWS technologies.
Advanced SQL skills, including writing and optimizing queries for large, complex datasets.
Proficiency in Python coding.
Experience with AI assisted tools for code development, testing, and documentation across the software lifecycle (for example GitHub Copilot, Duo).
Experience creating ETL or ELT jobs.
DevOps practices and tools such as Git and Artifactory.
Familiarity with Agile software development methodologies.
Experience leading data engineering teams in onshore/offshore models, mentoring through code reviews and pair programming, and establishing team best practices.
Strong problem solving and troubleshooting skills; highly process oriented with good documentation practices.
Passion for the humanitarian mission of the Red Cross and a energized, committed approach to the role.

Technologies

AWS technologies
SQL
Python
Git
GitHub Copilot
Duo
ETL/ELT
Artifactory
DBT
Reltio
Profisee
Redshift
Snowflake
Star

Compensation and work setup

Annual salary range: USD 140,000 to 155,000. This role does not include an annual bonus. Salaries are aligned to the geographic location where the work is performed, and specific salary details will be discussed during the phone screening based on location and experience.

Work arrangement: Remote with in-person meetings as needed and periodic weekend rotation. Location: North Carolina (remote). Authorization to work in the United States is required; visa sponsorship is not provided.

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2mo ago

Data Engineer, Analytics (Technical Leadership)

Meta San Francisco, CA

San Francisco, CA

2mo ago Closed

$210k - $281k/yr Full time Big Data Data Analytics Data Architecture

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Join Meta in a senior data engineering leadership role based in San Francisco, onsite. This position offers a competitive annual salary range of USD 210,000 to 281,000, plus a bonus, equity, and a comprehensive benefits package. You will lead data foundation initiatives, shape analytics architecture, and collaborate across teams to deliver impact for Instagram and related platforms.

Benefits

Bonus
Equity
Benefits

Responsibilities

Define and drive the data foundation and analytics vision to accelerate cross platform components across Instagram, and create a plan to realize that vision.
Own the data architecture for multiple large scale projects, evaluating design choices and operational costs against expected benefits.
Contribute to data logging frameworks and partner with data infrastructure to triage and resolve issues.
Build strong cross functional partnerships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on them.
Establish and manage service level agreements for data sets within owned domains.
Define security models aligned with privacy requirements, ensure safeguards are followed, address data quality issues, and advance governance processes within owned areas.
Design, build, and deploy advanced data models and visualizations that support use cases across multiple products or domains.
Tackle complex data integration challenges using efficient ETL patterns, frameworks, and query techniques across structured and unstructured sources.
Co-own production processes and optimize code using advanced algorithms.
Improve pipelines, dashboards, frameworks, and systems to simplify the development of data artifacts.
Influence product and cross-functional teams to identify data opportunities that drive impact.
Mentor team members by providing actionable feedback and supporting growth.

Requirements

Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
10+ years of experience in the data warehouse domain.
10+ years designing, implementing, and maintaining custom ETL processes.
10+ years of experience with object oriented programming languages.
10+ years of experience in schema design and dimensional data modeling.
10+ years of experience authoring SQL statements.
Experience analyzing data to identify deliverables, gaps, and inconsistencies.
Experience managing and communicating data warehouse plans to internal clients.

Technologies

Python
SQL
MapReduce
MPP system

Preferred Qualifications

Bachelor's or equivalent in a technical field, such as Computer Science or Mathematics.
Experience with MapReduce or an MPP system.
Practical knowledge of Python.
Ability to work autonomously within global teams.
Experience influencing product decisions using data.
Proven ability to integrate AI tools to optimize workflows and drive measurable impact.
Experience applying responsible AI practices, including risk assessment and bias mitigation.
Active development of AI skills and familiarity with emerging AI technologies.

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2mo ago

Data Engineer

ExxonMobil Spring, TX

Spring, TX

2mo ago Closed

Full time Analytics Azure Data Factory Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

ExxonMobil is seeking a Data Engineer to join the Data Solutions group within the Development Strategy Team in Spring, Texas. This onsite role focuses on designing and operating data pipelines, analytics, automation, and data management to support sustainable products and platforms, collaborating with cross-functional partners to turn data into actionable insights.

Responsibilities

Design, develop, and institute automated workflows utilizing Python, GIS, SQL, Spotfire, Alteryx, MS Power Platform and more to minimize human error, standardize data, and apply data management best practices with a focus on data integrity and governance
Develop and optimize existing and new expansion of the systems in place
Design, develop, test, document, deploy, monitor, and support data pipelines
Design and develop analytical dashboards using BI tools such as Spotfire and Databricks, as well as web-based frameworks including Shiny and React
Work with domain experts, data scientists, engineers to understand needs, constraints, and limitations
Develop ETL processes and maintain application integrations across multiple systems and data sources
Prepare technical data for interpretation, conduct analyses and routine computer processing of the data, and help create final displays of the results often for formal presentations
Willingness to learn, experiment, try new things, fail, and grow

Requirements

Bachelor's in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Geoscience, Analytics
Must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products
Driven by the prospect of optimizing or even re-designing company’s data architecture to support the next generation of products and data initiatives
Functional in SQL with experience in querying relational databases, views, and normalized schemas
Functional in programming (Python-preferred) with skills in algorithms, clean code, environment management
Understanding and utilization of enterprise ETL tools; ex: Alteryx, Azure Synapse, Azure Data Factory
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Build processes supporting data transformation, data structures, metadata, dependency, and workload management
A successful history of manipulating, processing, and extracting value from large, disconnected datasets
Strong project management and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Ability to identify opportunities for improvement / automation and development of existing workflows and processes
Experience building and optimizing big data pipelines, architectures, and data sets
Knowledge of Angular, Javascript, C#, Java programming languages
Knowledge of cloud technologies: Azure database, AWS, GCP
Expertise in Databricks and Snowflake
Working knowledge of message queuing, stream processing, and highly scalable big data stores
Oil & Gas industry experience

Technologies

Python
GIS
SQL
Spotfire
Alteryx
MS Power Platform
Databricks
Shiny
React
Angular
Javascript
C#
Java
Azure Synapse
Azure Data Factory
Azure
AWS
GCP
Snowflake

Benefits

Pension Plan: Enrollment is automatic and at no cost to you. The basic benefit is a monthly annuity to be paid to you in retirement for the rest of your life.
Savings Plan: You can contribute between 6% and 20% of your pay and are encouraged to enroll right away. If you contribute at least 6% to your savings plan, the Company will contribute a 7% match.
Workplace Flexibility: Programs such as Flex your Day, ad-hoc flexibility around when and where you work, plus longer-term options like leaves of absence and part-time work
Comprehensive medical, dental, and vision plans
Culture of Health: Programs and resources to support wellbeing
Employee Health Advisory Program: Confidential professional counseling for you and your family at no cost
Disability Plan: Income replacement for illness or injury, on or off the job

Stay connected with us

Learn more at our website
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Job ID: 107782

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2mo ago

Associate Data Engineer

Stanford University Redwood City, CA

Redwood City, CA

2mo ago Closed

$138k - $164k/yr Full time Apache Airflow Automation Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Stanford University is seeking an Associate Data Engineer to design, build, and steward data pipelines and warehousing solutions across cloud and hybrid environments. This onsite role in Redwood City combines hands-on engineering with mentorship and technical leadership, translating complex requirements into scalable software that supports the university’s data-driven initiatives. The position offers a competitive salary range and opportunities to grow within a collaborative, safety-focused environment.

Overview

As an Associate Data Engineer, you will design, implement, and maintain data pipelines and data warehousing architectures across cloud and hybrid platforms. You will mentor teammates, provide technical guidance, and translate intricate functional and technical needs into robust, high-performing software solutions that enable analytics and data access.

Responsibilities

Conceptualize, design, and independently develop solutions for complex systems or programs.
Create and maintain applications involving sophisticated data handling, including data stores, data lakes, lakehouse architectures, and data warehouses that are scalable, optimized, and fault-tolerant.
Document architectures and configurations; keep documentation current as systems evolve.
Provide technical analysis, design, development, data conversion, and implementation support.
Lead projects of moderate complexity as needed.
Serve as a technical resource for all Data Engineering applications.
Evaluate, compare, and integrate new features and technologies into the computing environment.
Follow the team’s software development methodology.
Mentor junior software developers.
Design and implement data migration and data integration across cloud and hybrid environments.
Demonstrate mastery and hands-on experience with data engineering technologies and scripting languages.
Translate complex functional and technical requirements into detailed architecture and high-performing software designs.
Design, build, and optimize data pipelines for collection, storage, access, and analytics.

Requirements

Bachelor’s degree and five years of relevant experience, or an equivalent combination of education, training, and experience.
Proficient in designing, developing, testing, and deploying applications.
Strong logical problem-solving abilities for technically complex applications.
Hands-on experience with advanced SQL and Python (including PySpark), plus AWS services (S3, Redshift, Glue ETL, IAM, DMS, AppFlow, VPC, and others), Snowflake, FiveTran, Kafka, Airflow, Oracle Cloud, and other open-source tools.
Experience writing reusable Python/PySpark scripts for ELT, business logic, or APIs; familiarity with Scala and R is a plus.
Hands-on development across data analysis, provisioning, modeling, performance tuning, and optimization.
Experience working in AWS cloud environments, selecting and utilizing marketplace tools to meet business requirements.
Ability to build scalable real-time and batch data pipelines using best practices in data modeling and ETL/ELT processing across diverse tech stacks.
Experience in data modeling, migration, and integration; understanding SaaS data integration challenges and implementing suitable solutions.
Strong communication skills with both technical and non-technical stakeholders.

Technologies

SQL
Python
PySpark
AWS (S3, Redshift, Glue ETL, IAM, DMS, AppFlow, VPC)
Snowflake
FiveTran
Kafka
Airflow
Oracle Cloud
Scala
R

Benefits

Career development programs
Tuition reimbursement
Audit a course
Retirement plans
Generous time-off
Family care resources
Health care benefits
Onsite fitness facilities and classes
Discovery and cultural perks: access to museums and trails
Free commuter programs and ridesharing incentives
Discount programs
Onsite cafes and dining pavilion
High-end fitness facility with outdoor pool
Childcare center for Stanford families
Redwood City campus amenities including onsite dining and wellness facilities

Physical Requirements

Constantly perform desk-based computer tasks
Frequently sit with light grasping and fine manipulation
Occasionally stand or walk and use a telephone
Rarely write by hand and lift/carry/push/pull up to 10 pounds

Working Conditions

May require extended hours, evenings, and weekends as needed to support critical projects or deadlines.

Work Standards

Interpersonal skills: collaborate effectively with Stanford colleagues, clients, and external partners
Safety culture: uphold safety responsibilities, voice safety concerns, and practice safe behaviors based on training
Compliance: adhere to all applicable university policies and procedures

Why Stanford is for you

Freedom to grow: access career development programs, tuition support, or the option to audit courses
A caring culture: strong retirement plans, generous time-off, and family care resources
A healthier you: extensive fitness facilities and health benefits
Discovery and fun: opportunities to explore museums, trails, and cultural events
Enviable resources: free commuter programs, ridesharing incentives, and various discounts
Redwood City campus: a new hub with onsite cafes, dining pavilion, fitness facilities, outdoor pool, and childcare for Stanford families