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Overnight Python Sql Jobs (NOW HIRING)

HHAeXchange

Principal Data Engineer

Charleston, WV · Remote

$155K - $184K/yr

Implement best-in-class solutions using technologies such as Python, SQL, dbt, DMS, AWS Glue ... Travel up to 10%, including overnight travel Required Education, Experience, Certifications and ...

HHAeXchange

Principal Data Engineer

$155K - $184K/yr

Implement best-in-class solutions using technologies such as Python, SQL, dbt, DMS, AWS Glue ... Travel up to 10%, including overnight travel Required Education, Experience, Certifications and ...

Converge Resources

HMI Developer

Chicago, IL

... overnight trips) Nice-to-Have Experience Exposure to PLC programming environments (e.g., ladder logic in Studio 5000 or similar) Experience with scripting or database interaction (Python, SQL, etc ...

HHAeXchange

Data Engineer

$105K - $115K/yr

Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow ... Travel up to 10%, including overnight travel Required Education, Experience, Certifications and ...

HD Supply

ML/ML Ops Principal Engineer

Atlanta, GA · On-site

Experience with Python, SQL, and model-serving frameworks * Expertise in applying ML to topics in ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

HD Supply

ML/ML Ops Principal Engineer

Atlanta, GA · On-site

Experience with Python, SQL, and model-serving frameworks * Expertise in applying ML to topics in ... Typically requires overnight travel less than 10% of the time. Education and Experience * Typically ...

TecTammina

Senior Systems Analyst

Oxnard, CA

... overnight batches Partnering with development and business teams to implement desired changes ... SQL Server and Powershell experience Python is a huge plus Additional Information Share the ...

Home Depot

Manager Decision Analytics

Atlanta, GA · On-site

Typically requires overnight travel less than 10% of the time. Physical Requirements: * Most of the ... Experience in SQL, SAS, Tableau, python and similar tools preferred Minimum Education: * 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 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.
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Overnight Python Sql jobs near you
ETL Developer @Chicago, IL, USA,

ETL Developer @Chicago, IL, USA,

Maintec Technologies

Chicago, IL • On-site

$52.50 - $68.75/hr

Other

Posted 8 days ago

Job description

Hi,
Greetings for the day.
Hope you are doing great.
We are hiring ETL Developer for one of our clients. Please go through the below requirement and reply with an updated resume.
ROLE: - ETL Developer
LOCATION: - Chicago, IL, USA, 60601
DURATION: - 1+ yrs contract
JD: -
Looking for an experienced DataStage ETL developer responsible for enhancing and supporting data ingest\egress integrations with Risk & Compliance Applications.
Experience Level:
Senior resource: 5+ years
Skills/Attributes: Data Analysis, Oracle, Python, SQL
Qualifications:

  • Strong in PL/SQL and UNIX shell scripting.
  • Experience working with XML transformation and consumption of messages from queues will be a big plus.
  • Hands-on improve operational stability via automation, such as autohealing where possible, and raise design changes to Data analyst, SMEs and/or architects, as well as opportunities to application /service managers.
  • Work some off hours as demanded by projects, operations, and need of the on-shore team and stakeholders, such as release, testing and/or critical bug resolutions.
  • Provide US/EMEA overnight support on critical processes in Financial Risk applications (Murex, Adenza) and/or risk program, such as data feed batch jobs, reports, etc in a follow the sun model, and able to address tickets escalated by L1/L2 teams.
  • Expertise with the following skills:
  • DataStage
  • SQL, Oracle Stored Procedures
  • Python
  • Data Analysis
Nice to Haves:
  • Snowflake and PowerBI knowledge preferred.
Tasks and Responsibilities:
  • Work with SME, Business Analyst to build new End-to-End solution, ensuring solutions meet all requirements, including operational SLAs.
  • Write and debug complex SQL queries from databases (such as Oracle).
  • Work with data analyst in mapping documents and design/build IBM DataStage jobs to the requirements.
  • Participate in peer design reviews and provide recommendations.
  • Construct DataStage jobs to implement the requirements:
  • Extract the data from and to Oracle and other databases, flat files (csv, text, excel)
  • Build JSON files using Hierarchical stage
  • Perform structural validation
  • Data type/allowable values validations and reporting
  • Ensure all data mapping, data lineage, functional spec, and any other technical documentation are detailed and up to date.
  • Ensure runbooks are fully up-to date and consistently improving the efficiency derived from automation.
  • Ensure handover of issues region to region with precise and concise handover daily shift notes.
  • Support incidents management during incident lifecycle by resolving service stoppage and remediation activities, as well as any postmortem actions.
  • Support management in operational reporting on vendor issues, internal issues, and partner team issues, and respective root causes.
  • Responsible for development and maintenance of ETL code using DataStage 11.7.

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