ZipRecruiter

Log In

1

Overnight Python Sql Jobs (NOW HIRING)

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

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 ...

next page

Showing results 1-20

All JobsOvernight Python Sql Jobs

Overnight Python Sql information

See salary details

$13

$58

$86

How much do overnight python sql jobs pay per hour?

As of Jun 24, 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 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.

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.

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.
More about Overnight Python Sql jobs
What cities are hiring for Overnight Python Sql jobs? Cities with the most Overnight Python Sql job openings:
What are the most commonly searched types of Python Sql jobs? The most popular types of Python Sql jobs are:
What states have the most Overnight Python Sql jobs? States with the most job openings for Overnight Python Sql jobs include:
What job categories do people searching Overnight Python Sql jobs look for? The top searched job categories for Overnight Python Sql jobs are:
Overnight Python Sql jobs near you

W2 Role - Data Engineer

Kanak Elite Services Inc

Saint Louis, MO • On-site

$111K - $133K/yr

Contractor

Posted 4 days ago

Job description

Only W2

Role:                            Data Engineer

Location:                     Hybrid St. Louis, MO and Mt. Sterling, IL

Duration:                     12 Months C2H

MOI:                            Video

Required

  • 3 years Data Engineer
  • 1+ years with Snowflake (Strongly Required 1+ year)
  • 3+ years Python
  • 1+ years Azure (or similar Cloud with AWS, GCP)
  • Mid-level candidate with mid-level year.
  • Bachelor’s degree

Desired

  • IBM Cloud
  • DataStage
  • DB2
  • watsonX.ai
  • Supply Chain

You’re analytical, a big picture thinker, and detail oriented. You’re a problem solver, and you’re able to present technical ideas to the business. You enjoy interacting with people and communicating across teams. If this sounds like you, Dot Foods wants you on our team.

As a Data Engineer, you will design, test, and maintain data pipelines for advanced analytics. You’ll transform complex datasets, ensuring alignment with strategic goals, and collaborate with IT and business experts to deliver crucial insights in adherence to information best practices.

Interview process is still a 30-min Teams call with me, then 1-hour technical call with panel, then 30-min interview with HM.

WHAT YOU’LL DO:

  • Automate data wrangling from a wide variety of sources (flat files, remote servers, databases, legacy systems, message queues, APIs and more).
  • Identify opportunities to improve system and business process efficiencies.
  • Cleanse/transform data in preparation for all levels of analytical use.
  • Leverage many technologies and methodologies as required—includes scripting and programming languages.
  • Assist in the preparation, deployment, and maintenance of machine learning/artificial intelligence data pipelines.
  • Work with vendors and consultants as appropriate.
  • Applies lean thinking and tools to identify and eliminate waste in all areas of the position.

YOU MUST HAVE:

  • Bachelor’s degree in applicable field.
  • 3+ years’ experience in: Applied SQL development, Data warehousing/analytics, and Data engineering/equivalency.
  • 1+ years’ experience with Snowflake.
    • Build and optimize Snowflake data warehouses.
    • Develop and maintain ETL/ELT pipelines in Snowflake.
    • Manage Snowflake security, governance, and performance.
  • Proficient in object-oriented concepts with experience in Python, Java, or C#.
  • Effective interpersonal skills, with positive professional verbal and written skills.

YOU MAY ALSO HAVE:

  • Bachelor’s degree in Business Analytics, Computer Science, Mathematics, Statistics, or related field.
  • Snowflake Data Engineer Certification.
  • Ability to work independently as well as within a team environment.
  • Effective project management and planning skills.

ROLE SPECIFICS:

  • Travel – Occasional overnight travel 1-3 nights per quarter for company meetings. Must have ability to travel independently as needed, without restriction by all modes of transportation, including car, plane, or train.
  • Schedule – ability to work flexible hours; may include evening & weekend hours as needed.