Data Engineering Jobs
By LTIMindtree At Bellevue, WA, United States
Cosmos + SQL experience, Azure data bricks, Power BI, Kusto.
Knowledge of Azure Data Factory, ADLS.
Proven experience in strong Data Analysis dealing with large volume of datasets.
Proven experience in Design & Implementation of end-end data pipelines.
Should have strong knowledge of Data Warehousing concepts.
Should have very good experience in BI tools (but not limited to)
Data Engineering Jobs
By Gaze At Dallas, TX, United States
Collaborate with cross-functional teams to understand data requirements and business objectives.
Proven experience as a Data Engineer or similar role, with a strong portfolio of data engineering projects.
Strong knowledge of data warehousing concepts and data modeling techniques.
Experience with big data technologies (e.g., Hadoop, Hive, HBase) is a plus.
Excellent problem-solving skills and the ability to work with complex data structures.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.
Engineering Tech/Data Analyst
By Insight Global At Houston, TX, United States
5+ years of experience as an Engineering Technician or Data Analyst
Strong experience in SQL and Spotfire
Experience in Python and R Scripting
Background working in Oil and Gas
Bachelor's Degree (preferably in Computer Science or Information Technology)
Engineering Tech/Data Analyst
By Insight Global At Denver, CO, United States
5+ years of experience as an Engineering Technician or Data Analyst
Strong experience in SQL and Spotfire
Experience in Python and R Scripting
Background working in Oil and Gas
Bachelor's Degree (preferably in Computer Science or Information Technology)
Crocs Inc: Manager, Data Engineering
By Crocs At , Broomfield $130,000 - $145,000 a year
Engineering Best Practices – Lead engineering standard processes, including test-driven development, agile management, and continuous integration pipelines
Education: Bachelor's degree in computer science, information technology, engineering, mathematics, or equivalent technical degree
Experience: 5+ years in a similar role
Previous experience with leading data engineering teams is required
Experience designing data models following Kimbal Dimensional Modeling standard processes
Experience working with modern ETL/ELT tools, such as Databricks is required
Fellow, Equipment Engineering Jobs
By The Estée Lauder Companies At , Melville $113,500 - $195,000 a year
Manage projects through Technical Proof of Manufacturability to ensure design and construction meets all Estee Lauder engineering requirements.
Proficiency in computer systems including 3D Design Systems and Analysis (SolidWorks preferred), MS Excel, Word, Outlook and Timeline management systems.
Experience in inventing, developing, and creating intellectual property around ownable machine innovation
Improve and investigate ways to enhance existing capability gaps with innovation and integration of new updates and capabilities.
Suggest equipment strategy to support both preliminary forecast and weekly rate of production requirements.
Establish workload priorities to ensure all projects are managed within expected due dates.
Data Engineering Manager Jobs
By Linktree At , Los Angeles $162,435 - $243,653 a year
Experience managing, scaling and mentoring teams in a high growth tech environment, preferably a product led company.
We are proud to offer all regular full-time and part-time employees 20 hours paid volunteering leave per calendar year.
Develop and implement the strategy for the Data Platform in close collaboration with other data and engineering leaders.
Evangelise best data practices and drive adoption across the company.
Partner with security and legal domain experts to ensure guardrails for data governance.
401k matching up to 6%
Data Engineering Manager - Remote
By Hilton Grand Vacations At , Orlando
HGV Now Offers Day One Team Member Benefits!
Ensure that data systems meet or exceed necessary compliance and regulatory requirements.
Ability to manage team projects.
Excellent analytical and technical skills.
Excellent planning and organizational skills.
Maintain healthy engagement with other technical and non-technical departments to provide right-sized data solutions for business and technology needs.
Data Science Technical Fellow
By Patterson-UTI Drilling At Houston, TX, United States
Prior experience applying data science techniques to oil and gas drilling data
Experience mentoring, and coaching a team of data scientists
Able and willing to visit a drilling rig location on a semi-regular basis to gain subject matter knowledge
Have excellent soft skills to gain rapport within the organization and seek out buy-in for our team
Excellent verbal and written communication skills
3+ years’ experience in Python for data analysis and visualization (such as Jupyter Notebooks, Pandas, Numpy, Matplotlib)
Senior Specialist - Data Engineering
By LTIMindtree At Charlotte, NC, United States
1+ years of SQL Server Management Studio, Code Editor for authoring Transact-SQL, MDX, DMX, XML/A, Reporting Services, Analysis Services etc.
5+ years of experience with SQL Server.
Experience of Data Modeling, Dimensional Modeling.
Excellent prioritizing, planning and organizational skills.
3+ years of analytical and communication skills
3+ years of ETL experience in Data Warehouse / Business Intelligence platforms (SSIS)
2023 Women In Sports Data Fellow
By Philadelphia Phillies At Philadelphia, PA, United States
Morning/Afternoon: Travel to Philadelphia, check-in to hotel
Afternoon: Citizens Bank Park Tour, including R&D room
Evening: Optional meet-up to watch Phillies game with R&D staff
AM: Check-out of hotel, depart Philadelphia
Invitation to 3–4 virtual career talks hosted by R&D
Paired mentorship with a member of R&D for career advice
Specialist, Data Engineering (Remote)
By Aegon At United States
Demonstrated skills in detailed-oriented delivery management
Understand and implement best practices in management of enterprise data, including master data, reference data, metadata, data quality and lineage.
Lead the selection and integration of data related tools, frameworks and applications required to expand our platform capabilities.
Communicate with business stakeholders to understand goals and translate them to technical solution architecture and requirements
Produce technical solutions that satisfy business requirements with a focus on scalability, stability, efficiency, maintainability and extensibility
Four years of experience architecting, building, and administering large-scale distributed applications frameworks like Spark, Hadoop etc.
Analyst, Data Engineering Jobs
By BlackRock At New York, NY, United States
Robust object-oriented design pattern knowledge and implementation experience using Python.
BA/BS in Computer Science or equivalent practical experience
0-2 years’ experience as a software engineer
Experience with Python frameworks like Django, Flask and Pandas
Experience working with large volumes of time series data and building services, APIs and applications based of it
Experience in designing multi-tier application architecture and distributed caching solutions
Data Fellow Jobs
By City of Baltimore At Baltimore City County, MD, United States
Have the support, guidance, and management of the Mayor’s Office of Performance & Innovation
Use the power of data to improve city government service to our citizens
Be paired with an agency staffer (a “Departmental Champion”) who is close to the issues and data and needs your help!
Demonstrate to the city agency that hiring you permanently after your fellowship ends is a wise investment
Have a seat at the table with leaders in city government who will use your work to inform their decision-making
Dashboard or analytics tools. Dashboards are a good way of using data to drive day-to-day operations or for strategic decision making.
Research Fellow, Biomedical Engineering
By Wake Forest Baptist Health At , Winston-Salem, Nc
Excellent interpersonal, time management, written and oral communication, and organizational skills are required.
Special Knowledge, Skills & Abilities:
Related prior experience with nanopore technology or nanotechnology in general.
Good grant writing & scientific writing skills.
Prior experience and/or exposure molecular biology techniques highly recommended.
Experience with common computer programs such as Microsoft Office. Willingness to learn specialized software used in the laboratories is essential.
Data Engineering Manager Jobs
By Capital Group Companies At , Irvine, Ca $158,620 - $253,792 a year
You have experience working on a cloud platform like Microsoft Azure Cloud or AWS or GCS (AWS Preferred)
You have proven experience building software solutions in the and have fluency in Python
“I can succeed as a Data Engineering Manager at Capital Group.”
You can learn more about our compensation and benefits
You have a bachelor’s degree in Computer Science, Engineering or a related technical field
You have led a team of 5+ members to deliver high-quality data products.
Manager, Data Engineering Jobs
By Compass Corporate At , Remote $140,000 - $160,000 a year
Experience with AWS and its data and analytics offerings such as Glue, Lambda, DMS, etc.
Associates at Corporate are offered many fantastic benefits.
5+ years’ experience as a Data Engineer working with large enterprise tools and datasets
Working knowledge of Snowflake and Redshift
Experience using Agile to complete work
Excellent written and oral communication skills.
Engineering Tech Fellow, Optical Design
By Raytheon Missiles & Defense At , Tucson, 85756, Az
Communicate and collaborate with Program Management and Technical Leadership, Engineering Leadership, Manufacturing, Suppliers, and Customers
Lead development of requirements in support of optical design, stray light, etc and the requirement flow to components
This is a hybrid role, and the selected applicant will work with the hiring manager to set a schedule.
Minimum 12 years' of prior engineering experience OR an Advanced degree and 10 years' of prior engineering experience
Minimum 12 years’ of optical design, analysis and/or tolerancing experience on ultra-violet (0.3 um) through Long-Wave Infrared (14 um) optical systems
Experience with Code V, Zemax, FRED, or equivalent optical design tools
Data Engineering Manager Jobs
By WEX Inc. At , Remote $126,000 - $169,000 a year
Have 3+ years of combined tech leadership and people management.
Have exceptional analytical and problem-solving skills
Have experience writing modern data pipelines deployed in the cloud.
Have previously led and/or managed a team of 5 or more engineers.
Have 8+ years of experience working with data as a software developer or data practitioner.
Have experience building and maintaining modern data pipelines in the cloud at an Enterprise scale, ideally using Snowflake and dbt.
Research Fellow - Physiology And Biomedical Engineering
By Mayo Clinic At , Scottsdale, 85259, Az
Excellent verbal and written communication skills in English are essential.
The following is required for completeness of the application:
Must have a Ph.D. or equivalent doctoral degree in a field deemed relevant by the program.
Affirmative Action and Equal Opportunity Employer

Do you have a passion for data engineering and a drive to solve complex problems? We are looking for a Data Engineering Fellow to join our team and help us build the future of data engineering. You will have the opportunity to work with cutting-edge technologies and collaborate with a diverse team of engineers, data scientists, and product managers. If you are excited to tackle challenging problems and make an impact, this is the job for you!

Overview Data Engineering Fellows are responsible for developing and maintaining data engineering solutions for a variety of organizations. They work closely with data scientists, software engineers, and other stakeholders to ensure that data is collected, stored, and analyzed in an efficient and effective manner. They are also responsible for developing and maintaining data pipelines, data warehouses, and other data engineering solutions. Detailed Job Description Data Engineering Fellows are responsible for developing and maintaining data engineering solutions for a variety of organizations. They work closely with data scientists, software engineers, and other stakeholders to ensure that data is collected, stored, and analyzed in an efficient and effective manner. They are also responsible for developing and maintaining data pipelines, data warehouses, and other data engineering solutions. They must be able to design and implement data engineering solutions that meet the needs of the organization. They must also be able to troubleshoot and debug data engineering solutions. Job Skills Required
• Knowledge of data engineering principles and best practices
• Knowledge of data warehousing and data pipeline technologies
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Knowledge of programming languages such as Python, Java, and Scala
• Knowledge of cloud computing technologies such as AWS and Azure
• Ability to design and implement data engineering solutions
• Ability to troubleshoot and debug data engineering solutions
• Ability to work with stakeholders to ensure data engineering solutions meet their needs
Job Qualifications
• Bachelor’s degree in computer science, engineering, or related field
• Experience with data engineering principles and best practices
• Experience with data warehousing and data pipeline technologies
• Experience with database technologies such as SQL, NoSQL, and Hadoop
• Experience with programming languages such as Python, Java, and Scala
• Experience with cloud computing technologies such as AWS and Azure
Job Knowledge
• Knowledge of data engineering principles and best practices
• Knowledge of data warehousing and data pipeline technologies
• Knowledge of database technologies such as SQL, NoSQL, and Hadoop
• Knowledge of programming languages such as Python, Java, and Scala
• Knowledge of cloud computing technologies such as AWS and Azure
Job Experience
• Experience with data engineering principles and best practices
• Experience with data warehousing and data pipeline technologies
• Experience with database technologies such as SQL, NoSQL, and Hadoop
• Experience with programming languages such as Python, Java, and Scala