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Weekend Data Engineering Jobs in Louisiana (NOW HIRING)

NGA AI Engineer Manager

New Orleans, LA · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Perform make ready engineering for aerial plant * Records survey measurements and descriptive data ... Ability to travel up to 90% of the time and work nights/weekends when required. * Working knowledge ...

Field Technician

West Monroe, LA · On-site

$19 - $26/hr

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm ... Records survey measurements and descriptive data using notes, drawings, and sketches * Searches for ...

Field Technician

West Monroe, LA · On-site

$19 - $26/hr

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm ... Records survey measurements and descriptive data using notes, drawings, and sketches * Searches for ...

Field Technician

West Monroe, LA · On-site

$19 - $26/hr

About Us HBK Engineering, LLC is a fully licensed, professional engineering design firm ... Records survey measurements and descriptive data using notes, drawings, and sketches * Searches for ...

Lead Field Engineer - Electrical

Monroe, LA · On-site

$153K - $160K/yr

... field engineering experience. Experience on industrial, power, utility, renewable energy, data ... Work overtime and weekends as required. * May work at various different locations and conditions ...

Showing results 41-60

Weekend Data Engineering information

Are weekend data engineers still in demand?

Weekend data engineers are still in demand as organizations seek flexible staffing for data pipeline maintenance, troubleshooting, and project work outside regular hours. Skills in cloud platforms, SQL, and data tools like Apache Spark or Kafka enhance employability in this schedule. Demand depends on industry needs and company size, but data engineering remains a critical role across sectors.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

Do weekend data engineers need to work on weekends?

Weekend data engineers typically work during regular business hours and do not usually need to work on weekends unless there are urgent data issues or scheduled maintenance. Some roles may require occasional weekend work for system updates or troubleshooting, but it is not a standard expectation for all positions. Flexibility depends on the company's policies and project deadlines.
What are the most commonly searched types of Data Engineering jobs in Louisiana? The most popular types of Data Engineering jobs in Louisiana are:

NGA AI Engineer Manager

Pwc

New Orleans, LA • On-site

$73K - $244K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

27th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

IFS - Information Technology (IT)

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Data and Analytics Engineering team you will lead the development of innovative
AI solutions that drive remarkable client outcomes. As a Manager you will supervise, develop,
and coach teams while managing client service accounts, securing the delivery of quality results
that meet and exceed expectations. This role offers the chance to cultivate powerful client
relationships and drive continuous improvement initiatives, all while embracing technology and
innovation to enhance project delivery.
Responsibilities
- Manage client accounts and secure the delivery of exceptional results
- Foster sturdy relationships with clients to understand their needs
- Analyze complex data sets to derive actionable insights
- Confirm adherence to quality standards and established practices in deliverables
What You Must Have
- High School Diploma
- At least 4 years of experience
What Sets You Apart
- Master's Degree in Computer Engineering, Data Processing/Analytics/Science, Computer
Science, Software Engineering, Artificial Intelligence and Robotics preferred
- Demonstrating exceptional team leadership abilities
- Managing client service accounts to deliver exceptional outcomes
- Fostering a collaborative environment for innovation
- Analyzing complex data sets for actionable insights
- Implementing industry standards for project management
- Cultivating relationships with clients to understand needs
- Driving continuous improvement initiatives within teams
- Understanding production-grade quality gates and monitoring

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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