Data Engineer I,II,III, SR
$106K - $133K/yr
May be required to travel overnight with or without notice. Could be subjected to on-call status ... Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred. * Strong ...
Data Engineer I,II,III, SR
$106K - $133K/yr
May be required to travel overnight with or without notice. Could be subjected to on-call status ... Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred. * Strong ...
Sr. Manager of IT Audit
Catoosa, OK · On-site
Traveling as needed, including overnight trips, with most work performed in an office environment ... Experience with analytics and reporting tools such as SQL, Alteryx, VBA, SSRS, Python, and/or Power ...
Sr. Manager of IT Audit
Catoosa, OK · On-site
Traveling as needed, including overnight trips, with most work performed in an office environment ... Experience with analytics and reporting tools such as SQL, Alteryx, VBA, SSRS, Python, and/or Power ...
Data Engineer I,II,III, SR
Oklahoma City, OK · On-site
$106K - $133K/yr
May be required to travel overnight with or without notice. Could be subjected to on-call status ... Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred. * Strong ...
Data Engineer I,II,III, SR
Oklahoma City, OK · On-site
$106K - $133K/yr
May be required to travel overnight with or without notice. Could be subjected to on-call status ... Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred. * Strong ...
Overnight Python Sql information
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.
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 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 is the difference between Overnight Python Sql vs Data Analyst?
| Aspect | Overnight Python Sql | Data Analyst |
|---|---|---|
| Required Skills | Python, SQL, data manipulation, scripting | Excel, SQL, data visualization, basic programming |
| Work Environment | Night shifts, data processing teams, tech companies | Day shifts, business units, various industries |
| Certifications | Python certifications, SQL certifications | None 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 popular job titles related to Overnight Python Sql jobs in Oklahoma?
For Overnight Python Sql jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Overnight Python Sql jobs in Oklahoma look for?
The top searched job categories for Overnight Python Sql jobs in Oklahoma are:
What cities in Oklahoma are hiring for Overnight Python Sql jobs?
Cities in Oklahoma with the most Overnight Python Sql job openings:
$106K - $133K/yr
Full-time
Posted 20 days ago
Job description
Tinker Federal Credit Union’s IT Department has an immediate opening for a Data Engineer! This is an exciting opportunity to join one of the nation’s leading credit unions! We offer competitive pay, a robust benefits package, a “smart casual dress code” and much more! We want you to work and grow at TFCU, so there will be many opportunities for professional development and growth through training and continued education. We value you at TFCU!
As a Data Engineer, you will be responsible for the following:
- Building and maintaining scalable data pipelines and infrastructure that support analytics, business intelligence, and data integration initiatives.
- Ensures efficient and reliable access to data across the organization by designing robust data models, optimizing data workflows, and implementing data quality and governance practices.
- Collaborate with stakeholders across the organization to translate business requirements into robust technical solutions while adhering to established best practices, security standards, and regulatory requirements
Salary Range:
This is a non-exempt position. The starting salary range is: Level I: $86,368.28309 - $107,960.35, Level II: $106,414.36 - $133,017.95, Level III $131,113.13 - $163,891.42, Senior: $131,113.13 - $163,891.42 however, actual placement within the range will be determined individually based on your experience relative to organizational needs and internal salary equity.
Schedule:
Normally works a weekday schedule, but may be required to work evenings, holidays, or weekends. May be required to travel overnight with or without notice. Could be subjected to on-call status.
Education/Experience:
A bachelor’s degree in computer science, information systems, business analytics, applied statistics, or a related field for all levels is required. A master’s degree in computer science, information systems, computer engineering, artificial intelligence, machine learning, data science, or a closely related field is preferred at the Senior level.
Certificates, Licenses, Registrations:
- Incumbent Bonding REQUIRED by TFCU’s chosen authority.
- Certifications such as Microsoft Certified: Azure Data Engineer Associate or Fabric Analytics Engineer Associate are preferred for Data Engineer III and Senior Data Engineer.
Keys to success:
In order to be successful as a Data Engineer you must possess these qualifications:
- Strong interpersonal and team collaboration skills.
- Ability to communicate technical concepts effectively to technical and non-technical audiences.
- Strong analytical and problem-solving skills with the ability to design scalable, efficient, and reliable data solutions.
- Strong understanding of data structures, algorithms, and core data engineering principles.
- Detail-oriented with the ability to maintain accurate technical documentation, data lineage, and metadata.
- Ability to manage multiple projects, priorities, and deadlines in a dynamic environment.
- Proficiency in SQL and Python; experience with Apache Spark, Scala, or Java preferred.
- Strong understanding of data modeling, database design, and dimensional modeling techniques, including star and snowflake schemas.
- Experience with Microsoft Fabric technologies, including Data Factory, Dataflows Gen2, Synapse, OneLake, and Power BI (Level II and above).
- Knowledge of source control, CI/CD pipelines, and DevOps practices supporting data engineering solutions (Level II and above).
- Knowledge of data governance, information security, privacy, and regulatory requirements, including data classification, encryption, GLBA, and protection of personally identifiable information (PII).
- Advanced knowledge of cloud-based data platforms, semantic modeling, data architecture, and real-time data processing technologies (Senior Data Engineer).