381 Data Engineer Jobs in United States

New Orleans Saints And Pelicans
Metairie, LA | Other
4 Months Ago
Boston Globe Media Partners
Boston, MA | Full Time
$71k-98k (estimate)
Just Posted
Mpg Operations
New York, NY | Full Time
$99k-129k (estimate)
Just Posted
Malvern, PA | Full Time
Just Posted
Carefusion 303
San Diego TC Bldg C&D, CA | Full Time
$76k-102k (estimate)
1 Day Ago
Markel Service
4600 Cox, VA | Full Time
$72k-94k (estimate)
1 Day Ago
Global Atlantic Financial Opportunities
Boston, MA | Full Time
$93k-121k (estimate)
2 Days Ago
Cambridge, MA | Full Time
$82k-110k (estimate)
2 Days Ago
Steel Dynamics
New Haven, IN | Full Time
$62k-83k (estimate)
3 Days Ago
San Antonio, TX | Other
$88k-114k (estimate)
3 Days Ago
Intelligent Waves
Tampa, FL | Full Time
$62k-84k (estimate)
4 Days Ago
Airbus Americas
Atlanta, GA | Full Time
$56k-73k (estimate)
4 Days Ago
Sydney, FL | Full Time
5 Days Ago
Palo Alto, CA | Full Time
$76k-105k (estimate)
6 Days Ago
Dallas, TX | Full Time
$64k-87k (estimate)
6 Days Ago
Lehi, UT | Full Time
$71k-92k (estimate)
6 Days Ago
Ontic Engineering Manufacturing
Creedmoor, NC | Full Time
$75k-99k (estimate)
7 Days Ago
Tii Family Companies
Coraopolis, PA | Full Time
$86k-110k (estimate)
7 Days Ago
Farmers Branch, TX | Other
$98k-126k (estimate)
7 Days Ago
Everest Technologies
Atlanta, GA | Full Time
$60k-82k (estimate)
1 Week Ago
Lecce, NM | Full Time
$65k-86k (estimate)
1 Week Ago
Rubio Restaurants
Carlsbad, CA | Full Time
$71k-96k (estimate)
1 Week Ago
Aristocrat Technologies
Franklin, TN | Full Time
$95k-122k (estimate)
1 Week Ago
Heritage Auctions
Irving, TX | Full Time
$73k-95k (estimate)
1 Week Ago
Fresh Consulting
Remote. Must live and work in AZ or CA or IL or IN or NV or NY or OR or TX or UT or WA, AZ | Contractor
$73k-97k (estimate)
1 Week Ago
Kroenke Sports Entertainment
Denver, CO | Full Time
$82k-110k (estimate)
1 Week Ago

Data Engineer

Other 4 Months Ago

*In order to be considered for this role, after clicking "apply now" above and being redirected, you must fully complete the application process on the follow-up screen. *

If you are interested in sports jobs with the New Orleans Saints and Pelicans, you’re in the right place!

 It’s exciting to work in sports. And it’s even more exciting to be a decision influencer in sports using Data Engineering techniques, tools and methods. Imagine what you could do, learn and accomplish here at the Saints and Pelicans organization, where we never stop thinking, learning, creating, testing, and innovating. The Saints and Pelicans’ Business Intelligence department is looking for a talented Data Engineer who is passionate about designing, crafting, and operating automated analytical solutions that will drive scientific data-driven decision making and have direct and measurable positive impact to both the New Orleans Saints, the New Orleans Pelicans, and ultimately their customers - the fans. As a Data Engineer, you will use Python, SQL, Snowflake, dbt and other tools to build automated processes, models and solutions for data operations across the company. This role will own the data engineering process for all of our business-related data in support of the entire company (Marketing, Sales & Retention, Game Presentation, Facility Operations, Ticketing and Corporate Partnership etc.). The Business Intelligence department is growing exponentially and we are looking forward to meeting you. There are three teams in this department - Business Analysts, Data Operations, and Data Science. 

Primary Responsibilities: 
  • Engage and collaborate with business analysts to find opportunities, understand requirements, and translate requirements into technical data science solutions 
  • Design, engineer and maintain analytical tools and models using statistical or data science approach, apply tried-and-true techniques, and develop custom algorithms as needed by the business problem 
  • Collaborate with data scientists and business analysts to design, test and implement robust automated and/or batch machine learning solutions 
  • Build and maintain data sources and ETL/ELT processes across business operations, such as social media data, digital and text message data, live traffic data, weather data, 
  • Help ensure database integrity by building and maintaining resilient data processes, and assist with architecting data storage solutions to efficiently store and retrieve information. 
  • Collaborate with business analysts to ensure operational and business metric health by monitoring key decision points, and provide actionable insights instantaneously to business analysts and key business decision makers 
  • Execute data mining and investigate adversarial trends, identify behavior patterns, and respond with agile logic changes 
  • Communicate results of analyses to business analysts, managers and executives 
  • Research new technologies and methods across data science, data engineering, and data visualization to improve the technical capabilities of the team 
  • Other projects and duties as assigned 
  • Bachelor’s degree in in Computer Science, Data Engineering, Machine Learning, Statistics, Applied Mathematics, Economics, or a related field with focus on computer science, data science, or programming 
  • 3-5 years’ experience applying data science to real business problems 
  • Experience in building modern cloud based ETL/ELT processes to centralize and organize data and strong understanding of XML and JSON file structures 
  • Proficiency using SQL and hands-on experience with database administration/schema design/query optimization 
  • Experience with Tableau, SQL Server Reporting (SSRS), or similar data visualization tool 
  • Comfort in cloud computing environments (AWS, Azure, Snowflake, Google Cloud) and leveraging job orchestration tools 
  • Knowledge of modern data engineering frameworks, such as dbt 
  • A knowledge of, and passion for finding, the newest and most innovative engineering techniques—the type of programmer who loves refactoring and reading about new frameworks 
  • Understanding of algorithms for classification, regression, clustering, and anomaly detection 
  • Ability to handle high pressure situations while still being attentive to the detail and excellent work product required 
  • Must have high level of interpersonal skills to handle sensitive/confidential situations and information 
  • Ability to comprehend and debug complex systems integrations 
  • Ability to extract meaningful business insights from data and identify the stories behind the patterns 
  • Excellent communication and organization skills, distilling complex analysis and concepts into concise business-focused takeaways 
  • Creativity to engineer novel features and signals, and to push beyond current tools and approaches 
  • Highly analytical person with strong problem-solving and self-directed learning skills, and exceptional attention to detail 
  • Highly self-motivated individual with excellent teamwork spirit 
  • Experience within the sports industry is not required, but is a plus 
  • Submitting a business case study from your past working experience is highly recommended 
Working Conditions: 
  • Typical office environment 
  • Must be able to sit and work at a computer 80% of the day 
  • Working schedule/hours will ebb and flow with NFL/NBA schedule, and will include working some late hours, holidays, nights, and weekends  

 Applications must be submitted online. Please do not mail or email resumes to the Saints/Pelicans. All qualified candidates will be contacted by phone and/or by email. Please do not contact the Saints/Pelicans Human Resources or Hiring Manager to check the status of your application. When applying, please be sure your updated contact information is provided.
The New Orleans Saints and New Orleans Pelicans ("Teams") are committed to providing equal employment opportunities for candidates and employees regardless of their membership in any protected classifications. The Teams will not discriminate in violation of the law on the basis of race, color, age, national origin, sex (including sexual orientation, gender identity, transgender status, and pregnancy), religion, physical or mental disability, genetic information, marital status, veteran status, familial status, status as a victim of domestic violence, and/or any other legally protected class under applicable federal, state, or local laws. This anti-discrimination policy applies with respect to all employment decisions, including but not limited to hiring, promotion, discipline, and discharge. The Teams are committed to equal opportunity for persons with disabilities in compliance with the Americans Disabilities Act and state law.  If you feel you need an accommodation for a disability, please inform us.  Requests for accommodation will be evaluated on a case-by-case basis.  If you request an accommodation, it is essential that you participate fully in the interactive process. 

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

02/10/2022: Winston Salem, NC

Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

Butler University
Carroll College
Cooper Union
High Point University
Princeton University
Providence College
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