Remote database administrator jobs

At Turing, we are hiring database administrators who can manage various database software. The developer will be responsible for storing, organizing, protecting, and keeping databases up to date. This is a great opportunity to work with top US companies and rise through the ranks.

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Job description

Job responsibilities

  • Work with various database software
  • Design, develop, Install and manage database applications
  • Diagnose, troubleshoot and ensure the databases are up to date
  • Prepare reports, documentation, and operating manuals
  • Test and modify databases to ensure smooth operation
  • Collaborate with different teams to make sure the database is user-friendly

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science or related field (or equivalent experience)
  • 3+ years of experience in database administration, or database architecture(rare exception for highly skilled developers)
  • Proficiency in data modeling and data designing techniques
  • Hands-on experience with MySQL, MS SQL, and other database technologies.
  • Strong mathematical and statistical knowledge
  • Advanced knowledge of database security, backup, and recovery
  • Fluent in both spoken and written English communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Strong analytical and problem-solving skills
  • Familiarity with principles of database design
  • Knowledge of database schema creation and management.
  • Strong communication and interpersonal skills

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How to Become a Database administrator ?

Data administration relies on the logical management of data and the creation of data models. The process also concerns itself with establishing relationships among these various models and with defining security and access control elements so that certain subsets of information can be made available to certain users.

A database administrator is responsible for managing, securing, and organizing data so that it is useful to users. The DBA also identifies issues in the data and works to resolve them.

Businesses can benefit from database administration in various ways, including the ability to get business insights, streamline production factories, enhance productivity, and more. As a result, businesses are hiring database administrators to create a customized database system that will benefit them.

What is the scope in Database administration?

If your organization relies heavily on databases for mission-critical workloads, you will need to employ DBAs (database administrators) to ensure that applications continue to have access to the data. Most modern organizations of every size use database systems, and therefore the need for DBA's has never been greater than it is today.

The DBA is the point of contact for issues arising from the database. The DBA troubleshoots and resolves these issues, and optimizes the performance of databases and applications that depend on them.

What are the roles and responsibilities of a Database administrator?

Database Administrators (DBAs) oversee all aspects of database management, including deployment, maintenance, and security. A DBA is considered a key member of the technical team for virtually every modern organization that relies on database technology.

Without database administrators to monitor system performance, application and system outages, downtime and slowdowns are likely to occur. Such problems can have a negative effect on revenue, customer experience and company reputation.

Database administrators are responsible for maintaining and securing databases, including customer records and financial data. They manage access to both the database itself, as well as the data within it. The primary duties of a database administrator include:

  • Developing and customizing databases capable of organizing and storing data for businesses
  • Transforming existing databases or converging multiple databases to meet the needs of the company
  • Implementing security software and carrying out routine backups to keep data safe and prevent data loss
  • Providing the required levels of access to qualified database users

How to Become a Database administrator?

To pursue a career as a database administrator, employers typically require candidates to have a bachelor's degree, relevant certifications, and essential skills.

Education

To work as a database administrator, most employers expect applicants to have a bachelor's degree in a computer- or information technology-related field. Common majors among database administrators include:

  • Computer science: This major covers courses in computer architecture, logic design, network fundamentals, and programming.
  • Information technology: This degree program includes courses on network management, website infrastructure, cyber security, and computer science.

Training

Most DBAs complete short training sessions on the job. These programs last about a week and allow individuals to become familiar with the organization's policies, procedures, and workflows.

Database administrators usually have prior experience working in information technology or related fields. They usually work as IT support specialists or systems administrators, where they can refine their knowledge of databases and computer languages.

Certifications

Database administrators usually take vendor certification courses to demonstrate their understanding of the software platform. The most common certifications for database administrators include IBM Certified Database Administrator, Microsoft Certified Solutions Associate, and Oracle Database Administrator Certified Associate.

Now, let's look at the skills and methods you'll need to master in order to become a successful Database administrator:

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Skills required to become a Database administrator

You need to learn the essential skills to get high-paying data administrator jobs. Here is what you need to know:

1. Microsoft SQL Server

Microsoft SQL Server is a relational database management system, which enables companies to store large volumes of data. The system enables business intelligence operations and analytics operations, as well as transaction processing. The information stored in a relational database on a server is used to increase the speed with which data is processed, allowing large operations to be executed with ease. The backup system of a business is responsible for storing important information that would be lost if the database were accidentally erased or corrupted.

2. Java

Java is designed to be a concurrent, class-based, and object-oriented programming language as well as a platform for running applications. A tremendous number of applications and websites are dependent upon Java, with more being created every day. Java is fast, secure, and reliable. Java can be used to create stand-alone applications that run on a single computer, or it can be used to create distributed applications that rely on servers and clients connected over a network. It is also used to create small application modules or applets that can be embedded in a Web page.

3. RDBMS

Relational databases are purpose-built to store multiple data formats and enable users to process queries efficiently. A relational database management system (RDBMS) is a software program that allows users to construct, update, manage, and interact with a database consisting of related tables. Relational database management systems are advanced systems that make it easier to gain insights from data. It supports four basic operations: creating, reading, updating and deleting. These operations are considered "critical" in supporting consistent data management.

4. Critical thinking

Database administrators are responsible for monitoring system performance, evaluating information, identifying security breaches, and troubleshooting problems. They must also follow regulations to ensure their network is secure. Quick thinking and logical reasoning skills allow them to analyze problems and provide solutions that are not prone to security breaches.

5. Organizational skills

Database administrators (DBAs) work with employees to monitor databases and troubleshoot problems. They allocate their time to research and implement updates and improvements to existing systems. DBAs keep their employees’ data secure by monitoring access levels and prioritizing their workload so they can complete tasks in a timely manner. To stay organized, DBAs may have checklists of tasks or use time-tracking software to monitor how they spend their time.

Interested in remote Database administrator jobs?

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How to get remote Database administrator jobs?

Developers are a lot like athletes. In order to excel at their craft, they have to practice effectively and consistently. They also need to work hard enough that their skills grow gradually over time. In that regard, there are two major factors that developers must focus on in order for that progress to happen: the support of someone who is more experienced and effective in practice techniques while you're practicing. As a developer, it's vital for you to know how much to practice - so make sure there is someone on hand who will help you out and keep an eye out for any signs of burnout!

Turing offers the best remote Database administrator jobs that suit your career trajectories as a Database administrator. Grow rapidly by working on challenging technical and business problems on the latest technologies. Join a network of the world's best developers & get full-time, long-term remote Database administrator jobs with better compensation and career growth.

Why become a Database administrator at Turing?

How much does Turing pay their Database administrators?

At Turing, every Database administrator is allowed to set their rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our recommendations are based on our assessment of market conditions and the demand that we see from our customers.

Frequently Asked Questions

Turing is an AGI infrastructure company specializing in post-training large language models (LLMs) to enhance advanced reasoning, problem-solving, and cognitive tasks. Founded in 2018, Turing leverages the expertise of its globally distributed technical, business, and research experts to help Fortune 500 companies deploy customized AI solutions that transform operations and accelerate growth. As a leader in the AGI ecosystem, Turing partners with top AI labs and enterprises to deliver cutting-edge innovations in generative AI, making it a critical player in shaping the future of artificial intelligence.

After uploading your resume, you will have to go through the three tests -- seniority assessment, tech stack test, and live coding challenge. Once you clear these tests, you are eligible to apply to a wide range of jobs available based on your skills.

No, you don't need to pay any taxes in the U.S. However, you might need to pay taxes according to your country’s tax laws. Also, your bank might charge you a small amount as a transaction fee.

We, at Turing, hire remote developers for over 100 skills like React/Node, Python, Angular, Swift, React Native, Android, Java, Rails, Golang, PHP, Vue, among several others. We also hire engineers based on tech roles and seniority.

Communication is crucial for success while working with American clients. We prefer candidates with a B1 level of English i.e. those who have the necessary fluency to communicate without effort with our clients and native speakers.

Currently, we have openings only for the developers because of the volume of job demands from our clients. But in the future, we might expand to other roles too. Do check out our careers page periodically to see if we could offer a position that suits your skills and experience.

Our unique differentiation lies in the combination of our core business model and values. To advance AGI, Turing offers temporary contract opportunities. Most AI Consultant contracts last up to 3 months, with the possibility of monthly extensions—subject to your interest, availability, and client demand—up to a maximum of 10 continuous months. For our Turing Intelligence business, we provide full-time, long-term project engagements.

No, the service is absolutely free for software developers who sign up.

Ideally, a remote developer needs to have at least 3 years of relevant experience to get hired by Turing, but at the same time, we don't say no to exceptional developers. Take our test to find out if we could offer something exciting for you.

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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Senior Fullstack Engineer - Backend Heavy

Job Overview

We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

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● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Expertise in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).  
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Knowledge of frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with frontend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.


Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork


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Senior Fullstack Engineer - Frontend Heavy

Job Overview We are seeking a highly skilled Senior Full Stack Engineer with a strong focus on backend architecture and expertise in artificial intelligence (AI) to join our dynamic team. The ideal candidate will have 5-7 years of experience in designing, developing, and maintaining robust  full-stack applications, with deep expertise in Python, data structures, and backend database interactions, API design, authentication systems, and AI-driven technologies. You will play a critical role in architecting scalable, secure, and high-performance systems, integrating AI capabilities such as Retrieval-Augmented Generation (RAG), vector databases, large language model (LLM) APIs, and more to power our innovative solutions.  

Key Responsibilities

● Design and implement scalable backend architectures for full-stack applications using Python and related frameworks (e.g., Django, Flask, FastAPI).
●  Develop and optimize complex data structures and algorithms to ensure efficient data processing and storage.
●  Architect and manage interactions with relational and non-relational databases (e.g., PostgreSQL, MongoDB) and vector databases (e.g., Pinecone, Weaviate) to support application and AI functionality.
●  Design, develop, and maintain secure, efficient, and well-documented RESTful APIs and GraphQL endpoints, integrating AI-driven features such as RAG and LLM APIs.
●  Implement robust authentication and authorization mechanisms (e.g., OAuth, JWT, SSO) to ensure system security.
●  Collaborate with frontend developers to integrate backend services and AI-powered features with user interfaces, ensuring seamless end-to-end functionality.
●  Develop and integrate AI solutions, including RAG pipelines, LLM API integrations (e.g., OpenAI, Hugging Face), and vector database queries for enhanced data retrieval and processing.
●  Perform data labeling, classification, and model training for AI-driven applications, ensuring high-quality datasets and model performance.
● Conduct red teaming exercises to evaluate and improve the security and robustness of AI systems and backend infrastructure.
●  Write clean, maintainable, and testable code, adhering to best practices and coding standards.
●  Design, implement, and maintain CI/CD pipelines to automate testing, deployment, and monitoring of backend and AI-driven applications, ensuring rapid and reliable delivery.
●  Optimize application and AI model performance, troubleshoot issues, and ensure high availability and reliability.
●  Mentor junior engineers, conduct code reviews, and contribute to architectural decisions, including AI strategy.
●  Stay updated on industry trends, emerging AI technologies, and backend development practices to recommend improvements and innovations.

Qualifications

● Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
●  5-7 years of professional experience in full-stack development, with a strong emphasis on backend systems.
●  Familiarity in Python and its ecosystems (e.g., Django, Flask, FastAPI) for building scalable applications.
●  Strong understanding of data structures, algorithms, and software design principles.
●  Extensive experience with database management, including SQL (e.g., PostgreSQL, MySQL), NoSQL (e.g., MongoDB, Redis), and vector databases (e.g., FAISS, Quadrant, Pinecone, Weaviate).
●  Solid understanding of embeddings and how these work with vector databases
●  Proven ability to design and implement secure APIs (REST, GraphQL) and authentication systems (OAuth, JWT, etc.).
●  Experience with AI technologies, including RAG, LLM APIs (e.g., OpenAI, Hugging Face), vector databases, and model training/classification.
●  Familiarity with data labeling, preprocessing, and red teaming for AI model development and evaluation.
●  Expertise in  frontend technologies (e.g., JavaScript, React, Vue.js) to collaborate effectively with backend teams.
●  Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is a plus.
●  Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.
●  Excellent communication skills and a passion for mentoring and knowledge sharing.

Preffered Skills

● Experience with microservices architecture and distributed systems.
●  Knowledge of CI/CD pipelines and DevOps practices.
●  Familiarity with testing frameworks (e.g., pytest, unittest) and writing automated tests for both backend and AI components.
●  Understanding of AI security best practices, including red teaming and compliance standards (e.g., GDPR, OWASP).
●  Good understanding of AI techniques (e.g. (CoT, reasoning, MCP)
●  Contributions to open-source AI or backend projects or a strong portfolio showcasing relevant work.
●  Experience with frameworks like LangChain, LlamaIndex, or similar for building AI driven applications.  

Interview Process

  • 1-2 technical rounds with the client

Offer Details

  • Full-time contractor (no benefits)
  • Remote only, full-time dedication (40 hours/week)
  • Required 4-6 hours overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork
-
11-50 employees
ReactVue.jsAngular+ 5
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