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Overnight Python Sql Jobs (NOW HIRING)

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

... SQL (5+ yrs), Python (2+ yrs); Postgres/MySQL (2+ yrs), Redshift (2+ yrs) - Healthcare data ... You start by reviewing overnight pipeline health and AWS service metrics, then confirm priorities ...

Kanak Elite Services Inc

W2 Role - Data Engineer

Saint Louis, MO · On-site

$111K - $133K/yr

... Python * 1+ years Azure (or similar Cloud with AWS, GCP) * Mid-level candidate with mid-level year ... Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency. * 1+ years ...

Home Depot

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

Typically requires overnight travel 5% to 20% of the time. Physical Requirements: * Most of the ... Tableau / Tableau Server, SQL, SQL Server (SSIS, SSRS), Access and Excel * Strong quantitative and ...

Home Depot

Sr. Data Analyst - Supply Chain

Atlanta, GA · On-site

$81K - $103K/yr

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building reports/analyses with analytical ...

Home Depot

Sr. Data Analyst, Data Science Analytics

Atlanta, GA · On-site

$81K - $103K/yr

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... VBA, Python, R, SAS, .NET, C++, Java, etc.) * Experience building reports/analyses with analytical ...

Village Care

Data Engineer - AWS

Manhattan, NY · On-site

$118K - $132K/yr

... SQL (5+ yrs), Python (2+ yrs); Postgres/MySQL (2+ yrs), Redshift (2+ yrs) - Healthcare data ... You start by reviewing overnight pipeline health and AWS service metrics, then confirm priorities ...

Home Depot

Data Analyst - Rental

Atlanta, GA · On-site

They will also have experience with SQL, Tableau, and Microsoft Excel, along with the ability to ... Typically requires overnight travel less than 5% of the time. Physical Requirements: * Most of the ...

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Overnight Python Sql information

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How much do overnight python sql jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for overnight python sql in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Jobs that require SQL and Python include data analyst, data engineer, data scientist, database administrator, and backend developer. These roles involve data manipulation, database management, automation, and building data-driven applications, often requiring knowledge of related tools like SQL databases and Python libraries such as pandas and NumPy.

Is Python and SQL enough to get a job?

For an Overnight Python SQL role, proficiency in both Python and SQL is essential, but employers often seek additional skills such as data analysis, scripting, or familiarity with databases and cloud platforms. Certifications and experience with related tools can also improve job prospects, as many positions require a combination of technical knowledge and problem-solving abilities.

What are the key skills and qualifications needed to thrive as an Overnight Python SQL Developer, and why are they important?

To thrive as an Overnight Python SQL Developer, you need a solid understanding of Python programming, SQL database management, and experience with data extraction, transformation, and loading (ETL) processes. Familiarity with database systems like MySQL, PostgreSQL, or SQL Server, as well as version control tools like Git, is typically required, and relevant certifications such as Microsoft Certified: Azure Data Fundamentals can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication are essential soft skills, especially when collaborating across shifts or resolving urgent issues overnight. These skills are critical for ensuring seamless data operations, maintaining system reliability, and supporting business functions during non-standard hours.

What is the difference between Overnight Python Sql vs Data Analyst?

AspectOvernight Python SqlData Analyst
Required SkillsPython, SQL, data manipulation, scriptingExcel, SQL, data visualization, basic programming
Work EnvironmentNight shifts, data processing teams, tech companiesDay shifts, business units, various industries
CertificationsPython certifications, SQL certificationsNone mandatory, often data analysis or business certifications

Overnight Python Sql roles focus on scripting, data processing, and working during night shifts, often in tech or data-centric companies. Data Analysts typically work during regular hours, analyzing data, creating reports, and supporting business decisions. While both roles require SQL skills, Overnight Python Sql emphasizes scripting and night work, whereas Data Analysts focus on data interpretation and visualization during standard hours.

Will AI replace Python coders?

AI tools can automate certain coding tasks, but Python coders are essential for designing, maintaining, and optimizing complex systems. Skills in problem-solving, understanding business needs, and adapting to new technologies remain critical for Python developers, especially in roles involving database management and data analysis. AI is more likely to augment rather than fully replace Python programming jobs in the foreseeable future.

What are some common challenges faced by Overnight Python SQL developers, and how can they be overcome?

Overnight Python SQL developers often encounter challenges such as working independently with limited immediate support, managing critical system updates during off-hours, and balancing quick troubleshooting with thorough documentation. To overcome these challenges, it’s helpful to maintain clear communication with day teams through detailed handover notes, develop strong problem-solving skills, and utilize automation for routine tasks. Building a robust monitoring system and maintaining organized scripts can also make overnight troubleshooting more efficient and less stressful.

Is SQL in demand in 2026?

SQL remains a fundamental skill for data management and analysis, and demand for SQL professionals is expected to continue growing through 2026. Roles such as Overnight Python SQL developers require strong SQL knowledge, along with programming skills and familiarity with database systems, making SQL a valuable skill in the job market.

What does an Overnight Python SQL professional do?

An Overnight Python SQL professional is responsible for managing, maintaining, and analyzing data systems during overnight hours using Python and SQL programming languages. Their duties often include automating data processes, running ETL (Extract, Transform, Load) tasks, monitoring data pipelines, and troubleshooting issues that arise outside of regular business hours. This role is crucial for organizations that require 24/7 data operations and ensures data systems are functional and up-to-date by the start of the next business day.
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Overnight Python Sql jobs near you
Data Engineer - AWS

Data Engineer - AWS

Village Care

Manhattan, NY • On-site

$118K - $132K/yr

Full-time

Posted 20 days ago

Job description

Position: Data Engineer - AWS
Location: Hybrid (Must Reside in NY/NJ/CT)
Work Schedule: Monday - Friday, 9:00am - 5:00pm
Compensation: $118,135.58 - $132,902.53 Annual Salary
Our Community Mission
VillageCare is a community-based, not-for-profit organization serving people with chronic care needs, as well as seniors and individuals in need of continuing care and managed care services.
Our mission is to promote healing, better health and well-being to the fullest extent possible. Our care is offered through a comprehensive array of community and residential programs, as well as managed care. VillageCare has delivered quality health care services to individuals residing within New York City for over 45 years.
Scope of the Role
As a Data Engineer, you will strengthen VillageCare's cloud data foundation by advancing reliable, secure data movement and analytics-ready datasets in our AWS environment. This role exists to ensure stakeholders can trust and use data to support care and operations.
Key responsibilities:
- Design, build, and support ELT/ETL pipelines and datasets within an AWS Data Lake
- Monitor and tune AWS data lake services; troubleshoot analysis tooling in the cloud environment
- Build Python-based ETL jobs; develop light internal web tools as needed
- Model current and future schemas for structured/unstructured data; align to industry standards
- Provide technical oversight across vendors; partner with IT Security/Network Ops on AWS best practices
- Contribute to integration project scoping and new pipeline/component design
Required qualifications:
- AWS (2+ yrs), SQL (5+ yrs), Python (2+ yrs); Postgres/MySQL (2+ yrs), Redshift (2+ yrs)
- Healthcare data experience (2+ yrs) and awareness of Provider/Payer/Member domains
- AWS Glue, Spark, Lambda/API Gateway, containers, Git, Jira
- Minimum of Bachelors Degree in technical field (Computer Science, Management Information Systems, Statistics or analytics. Masters preferred
Apply to help deliver dependable data engineering outcomes for VillageCare.
A Typical Workday
Your day is organized around steady progress and clear communication. You start by reviewing overnight pipeline health and AWS service metrics, then confirm priorities with project partners and vendor teams. Midday is often reserved for focused build time-iterating on a new dataset, validating transformations, or refining a schema so downstream reporting behaves consistently. You'll also field targeted questions from end users, translating business needs into concrete technical decisions, and you'll document choices so others can follow the logic. Later, you may join a working session with Security and Network Operations to align on cloud requirements, then close out by updating Jira items and pushing well-tested changes through GitHub. The schedule supports work-from-home flexibility while keeping delivery predictable.

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