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Overnight Python Sql Jobs (NOW HIRING)

Write Python and SQL scripts to pull and transform clinical activity data from Oracle EHR data ... Maximum of 10% overnight travel for client or project purposes * Relocation Requirement: If ...

Write Python and SQL scripts to pull and transform clinical activity data from Oracle EHR data ... Maximum of 10% overnight travel for client or project purposes * Relocation Requirement: If ...

Write Python and SQL scripts to pull and transform clinical activity data from Oracle EHR data ... Maximum of 10% overnight travel for client or project purposes * Relocation Requirement: If ...

... domestic overnight travel is required for this role Qualifications : Required : • Bachelor ... SQL • 1+ year of professional experience coding in Python • Excellent verbal and written ...

... overnight batch cycles. Strong SQL skills for data investigation, troubleshooting, and query ... Exposure to scripting or automation tools (e.g., Python, shell scripting) for support tooling.

Senior Electrical Engineer

Birmingham, AL · On-site

$100K - $131K/yr

... Python, C#, SQL) desired • Advanced degree in EE, computer science or other related fields ... overnight travel may be required but this is not extensive. Knowledge, Skills & Abilities • Must ...

Travel overnight occasionally (limited) Education Requirements * Master of Science in Electrical ... PSCAD * PSS ® E * Experience or training in computer programming (Python, C#, SQL preferred)

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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 15, 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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Senior Software Engineer - onsite Dallas or NYC - FinTech startup experience required

Senior Software Engineer - onsite Dallas or NYC - FinTech startup experience required

Welltower

Manhattan, NY

$150K - $225K/yr

Full-time

Re-posted 13 days ago


Job description

WELLTOWER – REIMAGINE REAL ESTATE WITH US 

At Welltower, we’re transforming how the world thinks about senior living and wellness-focused real estate. As a global leader in residential wellness and healthcare infrastructure, we create vibrant, purpose-driven communities where housing, healthcare, and hospitality converge. Our culture is fast-paced, collaborative, and endlessly ambitious—guided by our mantra: The only easy day was yesterday. 

We’re looking for bold, independent thinkers who thrive on challenge, embrace complexity, and are driven to deliver long-term value. Every team member is empowered to think like an owner, innovate fearlessly, and lead from where they stand. If you're passionate about outcomes and inspired by the opportunity to shape the future of healthcare infrastructure, we want you on our best-in-class team.  

ABOUT THE ROLE 

The Senior Software Engineer at Welltower is responsible for designing, implementing, and maintaining robust data infrastructure that powers the organization's analytics and business intelligence initiatives. This role requires expertise in building scalable data pipelines, managing cloud-based data warehousing solutions, and implementing data quality frameworks. The Senior Data Engineer will collaborate with cross-functional teams, lead data engineering projects to completion, and establish best practices for data management across the organization.

KEY RESPONSIBILITIES 

  • Design, develop, and maintain scalable ELT data pipelines to support time-series based analytics and reporting needs
  • Architect and implement data models and solutions in Snowflake to ensure optimal performance and accessibility
  • Build and manage AWS-based infrastructure
  • Implement and maintain data orchestration workflows using industry-standard tools to automate data processing
  • Establish data quality frameworks and automated testing procedures to ensure data integrity and reliability
  • Deploy CI/CD pipelines for data infrastructure to enable efficient, reliable, and repeatable deployments
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and implement solutions
  • Establish data engineering best practices and standards
  • Create comprehensive documentation for data processes, models, and infrastructure
  • Implement data governance practices and ensure compliance with regulatory requirements
  • Proactively identify and resolve data-related issues and bottlenecks

TECH STACK

  • Cloud Platforms: AWS
  • Data Warehousing: Snowflake
  • Orchestration Tools: Airflow
  • Data Transformation: dbt-core
  • Programming Languages: Python, SQL, Node
  • CI/CD Tools: Gitlab Pipelines
  • Version Control: Git
  • Infrastructure as Code: Terraform
  • Monitoring & Observability: Datadog

OTHER DUTIES 

Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities that are required of this employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. 

TRAVEL 

Minimal out-of-area and overnight travel may be expected.

MINIMUM REQUIREMENTS 

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field
  • 5+ years of experience in data engineering with a focus on cloud-based data infrastructure
  • Strong Proficiency our tech stack or similar technologies
  • Experience implementing and managing data pipelines and ETL/ELT processes
  • Knowledge of data modeling, database design, and optimization techniques
  • Experience with CI/CD practices for data infrastructure
  • Excellent problem-solving skills and attention to detail
  • Strong communication skills and ability to collaborate with cross-functional teams

Employment is contingent upon the successful completion of a background check, drug screening, and verification of employment, education, and other credentials relevant to the position.   

COMPENSATION

Salaries may vary by location. The base salary range for this role in New York is $150,000 – $225,000.In addition to base pay, this role is eligible for a highly competitive and lucrative total rewards package, which includes:

  • Annual bonus opportunity
  • Lucrative equity awards through our long-term incentive program
  • A comprehensive benefits suite

ABOUT WELLTOWER 

Welltower® Inc. (NYSE: WELL) an S&P 500 company, is the world's preeminent residential wellness and healthcare infrastructure company. Our portfolio of 1,500+ Seniors and Wellness Housing communities is positioned at the intersection of housing, healthcare, and hospitality, creating vibrant communities for mature renters and older adults inthe United States,United Kingdom, andCanada. We also seek to support physicians in our Outpatient Medical buildings with the critical infrastructure needed to deliver quality care. 

Our real estate portfolio is unmatched, located in highly attractive micro-markets with stunning built environments.Yet, we are an unusual real estate organization as we view ourselves as a product company in a real estate wrapper driven by relationships and unconventional culture. 

Through our disciplined approach to capital allocation powered by our data science platform and superior operating results driven by the Welltower Business System, we aspire to deliver long-term compounding of per share growth and returns for our existing investors – ourNorth Star. 

Welltower is committed to leveraging the talent of a diverse workforce to create great opportunities for our business and our people. EOE/AA. Minority/Female/Sexual Orientation/Gender Identity/Disability/Vet