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Overnight Data Classification Jobs (NOW HIRING)

May be required to travel overnight with or without notice. Could be subjected to on-call status ... including data classification, encryption, GLBA, and protection of personally identifiable ...

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All shifts available (Morning, Swing, Overnight) 🤖 Launch Your Career in AI & Robotics -- Earn ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

Posted today

Oracle CX Data Architect

$65.25 - $84/hr

Oracle CX Data Architect Classification: Exempt under the Fair Labor Standards Act (FLSA) Reports ... overnight, varies. Job Summary: The CX Data Architect has expertise in Oracle CX Data Models ...

Occasional overnight travel may be required Typical Experience Two to four years relevant ... job training, classification, referral and other aspects of employment and also states that ...

Integration & Data Architect Classification: Exempt under the Fair Labor Standards Act (FLSA ... overnight, varies. This resource must be willing and able to travel as required by the customer ...

... assigned to this classification. They are not to be construed as an exhaustive list of all ... Accurate data entry of valet claim ticket data. * Salesmanship skills are required to sell ...

... assigned to this classification. They are not to be construed as an exhaustive list of all ... Accurate data entry of valet claim ticket data. * Salesmanship skills are required to sell ...

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Overnight Data Classification information

What is the difference between Overnight Data Classification vs Data Analyst?

AspectOvernight Data ClassificationData Analyst
CredentialsBasic data handling certifications, data privacy knowledgeDegree in data science, statistics, or related field
Work EnvironmentNight shift, data centers, or office settingsOffice, remote, or hybrid, regular hours
Industry UsageData management, cybersecurity, IT supportBusiness intelligence, reporting, data interpretation
Search/Comparison IntentFocus on data classification tasks during overnight shiftsAnalyzing and interpreting data for insights

Overnight Data Classification primarily involves categorizing data during night shifts, often requiring basic data handling skills. Data Analysts focus on analyzing data to generate insights, typically during regular hours. While both roles work with data, their responsibilities, skills, and work environments differ significantly.

What cities are hiring for Overnight Data Classification jobs? Cities with the most Overnight Data Classification job openings:
What are the most commonly searched types of Data Classification jobs? The most popular types of Data Classification jobs are:
What states have the most Overnight Data Classification jobs? States with the most job openings for Overnight Data Classification jobs include:
What job categories do people searching Overnight Data Classification jobs look for? The top searched job categories for Overnight Data Classification jobs are:
Infographic showing various Overnight Data Classification job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 68% Full Time, 27% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Database Engineer I,II,III, SR

mytfcuhr

Oklahoma City, OK • On-site

$106K - $133K/yr

Other

Posted yesterday

New


Job description

Tinker Federal Credit Union’s IT Department has an immediate opening for a Database 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 Database 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 Database 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).