Data Engineer -Mauritius
$101K - $122K/yr
At the vanguard of our marketing science organization, the data engineer solves problems "on the ... In this role you will * Automate manual processes through SQL, python, etc... * Analyze ...
Data Engineer -Mauritius
$101K - $122K/yr
At the vanguard of our marketing science organization, the data engineer solves problems "on the ... In this role you will * Automate manual processes through SQL, python, etc... * Analyze ...
Overnight Python Data Science information
See Altus, OK salary details
$11.72 - $17.60
1% of jobs
$17.60 - $23.49
0% of jobs
$23.49 - $29.38
2% of jobs
$29.38 - $35.27
5% of jobs
$35.27 - $41.16
11% of jobs
$42.89 is the 25th percentile. Wages below this are outliers.
$41.16 - $47.04
18% of jobs
The median wage is $50.11 / hr.
$47.04 - $52.93
24% of jobs
$57.43 is the 75th percentile. Wages above this are outliers.
$52.93 - $58.82
18% of jobs
$58.82 - $64.71
13% of jobs
$64.71 - $70.59
5% of jobs
$70.59 - $76.48
3% of jobs
$11
$51
$76
How much do overnight python data science jobs pay per hour?
As of Jun 24, 2026, the average hourly pay for overnight python data science in Altus, OK is $51.95, according to ZipRecruiter salary data. Most workers in this role earn between $42.84 and $58.99 per hour, depending on experience, location, and employer.
What are Overnight Python Data Science jobs?
Overnight Python Data Science jobs involve working night shifts to perform data analysis, build models, or process data using Python programming. These roles may include tasks like cleaning datasets, running automated pipelines, and generating reports for teams that operate on a 24-hour cycle. Such positions are common in industries that require round-the-clock data monitoring or support, such as finance, healthcare, or IT operations. Professionals in these roles typically have experience with Python, data science libraries, and may collaborate with global teams across different time zones.
What are the main challenges of working as an Overnight Python Data Science professional, and how can I succeed in this role?
Working as an Overnight Python Data Science professional often means handling data pipelines, model monitoring, and urgent troubleshooting during hours with limited team support. The main challenges include quickly resolving unexpected data issues, maintaining high attention to detail during late hours, and communicating findings to daytime teams. Success in this role relies on strong problem-solving skills, proactive communication (such as clear shift handovers), and the ability to work independently while following established protocols. Building robust documentation and automating regular tasks can also help manage workload and reduce errors.
What are the key skills and qualifications needed to thrive as an Overnight Python Data Science professional, and why are they important?
To thrive as an Overnight Python Data Science professional, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and machine learning concepts, often backed by a degree in a quantitative field. Familiarity with tools such as Jupyter Notebook, Pandas, Scikit-learn, and data visualization libraries, along with experience using databases and cloud platforms, is typically required. Excellent problem-solving skills, attention to detail, and the ability to work independently during non-standard hours help you excel in this role. These skills and qualities are vital for efficiently analyzing data, building reliable models, and delivering actionable insights in a time-sensitive, often autonomous overnight environment.
What is the difference between Overnight Python Data Science vs Data Analyst?
| Aspect | Overnight Python Data Science | Data Analyst |
|---|---|---|
| Required Skills | Python, data analysis, machine learning, statistical modeling | Excel, SQL, data visualization, basic statistics |
| Work Environment | Remote or night shifts, tech-focused companies, data-driven roles | Office-based or remote, business or marketing departments |
| Industry Usage | Tech, finance, e-commerce, healthcare | Retail, finance, marketing, consulting |
Overnight Python Data Science roles focus on advanced data analysis, machine learning, and programming skills, often requiring night shifts and remote work. Data Analysts typically handle data visualization, reporting, and basic analysis during regular hours. Both roles are essential in data-driven industries but differ in technical complexity and work schedules.
$101K - $122K/yr
Full-time
Posted 25 days ago
Job description
Show the world what you can do.
We're looking for an inspired, motivated Data Engineer to join our team.The Data Engineer facilitates the flow of oftentimes massive quantities of raw files from various disparate locations into well-harmonized tables. Much is made of the potential to use data to solve the world's problems - the data engineer knows that this "data" is useless unless it can be organized into analyzable bits...and that its most likely a mess. No problem; data engineers are at the vanguard of the Marketing Science team, taking raw and largely unusable information and refining it into the stuff of predictive models. At the vanguard of our marketing science organization, the data engineer solves problems "on the ground," many times with little documentation and vague direction from business stakeholders; they pave the way for fruitful analysis by turning chaos into functional process.
In this role you will
- Automate manual processes through SQL, python, etc...
- Analyze documentation and propose data extraction solutions
- Write code that uses APIs to download and upload data
- Continuously improve the efficiency of existing automation to make it faster, cheaper and smarter
- Provide the "voice of reason" that keeps the rest of the team grounded in what is possible and by when
- Understand the nuances of the analysis required
- Explain the complexities involved with data extraction to analysts
- Work closely with the rest of the MKS and account teams to understand the business context of the account
- Stay up-to-date on latest industry news and analysis techniques
- Assist in tagging and data infrastructure design
What are we looking for? Besides a great attitude,
You should have:
- At least 3+ years experience using SQL, python, or working with API
- 3 years of experience designing ETL solutions
- 3+ years experience designing SQL, ETL experience, Transformation and source/target and warehouse architecture, database modeling understanding.
- Advanced English Proficiency (B2 reading, writing, and conversation)
It's a plus if you have:
- Mastery of office productivity tools such as Excel, Word, MS Project, Visio, and PowerPoint
- Most coursework towards a Bachelor's degree
- Snowflake, Matillion skills
Competencies to be successful in this role:
- Manages Ambiguity
- Tech Savvy
- Decision Quality
- Nimble Learning