Database Management and Administration Developer with PostgreSQL Salary in 2024
How statistics are calculated
We count how many offers each candidate received and for what salary. For example, if a Database Management and Administration developer with PostgreSQL with a salary of $4,500 received 10 offers, then we would count him 10 times. If there were no offers, then he would not get into the statistics either.
The graph column is the total number of offers. This is not the number of vacancies, but an indicator of the level of demand. The more offers there are, the more companies try to hire such a specialist. 5k+ includes candidates with salaries >= $5,000 and < $5,500.
Median Salary Expectation – the weighted average of the market offer in the selected specialization, that is, the most frequent job offers for the selected specialization received by candidates. We do not count accepted or rejected offers.
Trending Database Management and Administration tech & tools in 2024
Database Management and Administration
What Is Database Management?
A database management system (DBMS) is a software tool that controls the organization, storage, and retrieval of data from a database. It contains various functions that are interdependent to ensure data integrity for data entry and management with respect to recording, retrieving, and presenting data.
A database management system consists of three main elements:
- A physical database that contains the data.
- A database engine that helps to access the data and modify its contents.
- A relational database scheme (logical design of data in the database).
The ‘physical design of data’ consists of complex tables. While this does provide useful information at a technical level, it doesn’t provide important diagnostic information regarding the main question at hand.
Types of Database Management Systems
Centralized Database Management System
It would all be there. It would all be there in one piece of kit, in one building. If you wanted access to the data, you’d need to come to that system.
Distributed Database Management System
Thanks to this construction, it becomes possible to locate different pieces of data on different nodes so that the absence of each individual node does not prevent us from accessing the data.
In comparison with centralized database systems, a distributed DBMS system makes a number of complete copies of the same data, or at least parts of it, and therefore, in case one of the systems fails, the necessary information is not lost.
Federated Database Management System
A federated database system maps several autonomous databases into one giant database system. Data need not be duplicated, as happens in a distributed DBMS, and hence is very appropriate to handle a distributed integration project.
Federated databases are further divided into two types:
- Loosely Coupled: Each component database constructs its own federated schema.
- Tightly Coupled: The component systems use independent processes to instantiate and publish a unitary federated schema.
Blockchain Database Management System
A blockchain is also called a database. This is because this type of technology stores transactions in data structures, known as blocks. The blockchain system has been widely used to save financial and other types of transactions.
Cloud Database Management System
A cloud database management system is a distributed database providing Cloud-as-a-Service (CaaS) on which the resources, software, information, and other data are shared through a network. The cloud is the main storage that people can access the data across an entire planet.
Importance of Data Management
Data have become one of the core values of companies. It could help a business to make decisions, enhance marketing campaigns, and perfect operational processes. Nevertheless, without the right database management system, companies may face data silos, different data sets, and poor data, which could lead to poor findings.
Businesses always have a reason behind database management. Here are some of the common and significant reasons for database management:
- To run business operations
- To automate processes
- To ensure adequate performance of queries
- To keep up with consumer demands
- To organize and track customers, inventory, and employees
- To store different types of data
Further, another inherent facet is the need for database management to abide by the ever-growing compliance rules of data protection acts, including GDPR, CCPA, and so forth.
Benefits of Database Management
There are a number of benefits that database management systems provide to businesses.
Self-describing Nature
A DBMS is self-descriptive, because it will contain both data and metadata about the database. This self-describing characteristic distinguishes a DBMS completely from any other file-based system.
Supports Multiple Views of Data
A database system can have many views, one for each user of the system. Each view should contain only the data of interest to one user or a group of users.
Multi-user System
Users accessing these concurrently can all contact the same database at a later time. This is possible because there are several techniques to ensure that the data is always correct and data integrity is maintained. This is referred to as concurrency control.
Restriction of Unauthorized Access
It varies accordingly from user to user. Some users might have read-only access while some can have read-write access using this system, which results in internal data control by limited access and prevents unauthorized access by other individuals.
Database Administrator
An average database administrator has to work with many tasks daily. Mainly, there are some fundamental tasks of database administrators:
- Troubleshooting database issues.
- Backing up and restoring databases.
- Performing scheduled maintenance tasks.
- Installing new systems.
- Writing SQL scripts.
Updating Databases
Maintaining the databases is the most essential part of the work of a DBA. A database that is amended and updated regularly is the one that is taken into use. A DBA maintains the database by renewing and issuing the permissions for database access. A DBA also takes care of all the changes in employment, such as changing shifts or roles and responsibilities. Similarly, the software in a database is updated regularly by DBAs. In software updates, the code needs to be written and stored. The database systems and programming languages associated with the database also undergo regular maintenance and need to keep up with the updates.
Organizing and Maintaining Data
A DBA needs to do this filtering and prepping of data – such as financial records, customer data, purchase histories, and so on. An application DBA uses specialized software to be able to put data in good order. How does the data get organized, especially without us knowing what we will want to do with it in the future? That’s one of the ongoing efforts of the DBA. They need to maintain that data, or have it in an order such that the person who is going to mine this data would find it relatively easy to be able to do the mining, to identify some key insights, some trends, some key performance indicators (KPIs), and metrics from the data, so that such data becomes very important in making decisions that are data-driven.
Designing and Developing Databases
Database design and implementation also involve how we organize data. Although DBAs might not be data engineers, system administrators, or application programmers, they can spin up brand new databases from scratch and then make sure those databases behave. DBAs can also help by putting themselves in the shoes of database users. If one can think from a database user’s perspective, this can lead to robust data models that perform the necessary tasks. By enabling supporting applications and infrastructure, one can assemble databases.
Archiving Data
The database administrator is by trade a data archivist. He is a seeker of useless data and is the human who will remove said unnecessary data. If the database administrator deems no one is using it, the data will be archived. Any unnecessary data that is used less frequently or that is kept for legal or industry reasons will be archived once deemed necessary by the database administrator. In this way, the data is kept out of the operational production system. Archiving data of less frequent use increases the active operational capacity, allows for a more efficient operation and a data backup, and ensures the DBMS is kept available for active operation.
Maintaining and Troubleshooting Databases
Maintenance is not the totality of DBA work; DBA maintenance includes database maintenance. DBAs don’t simply maintain data, they also maintain databases. Maintenance of any kind entails making tests and making adjustments while monitoring what a given entity (‘program’, ‘car’) is doing. That is why a DBA who knows several forms of database management systems such as Oracle or SQL (MySQL, SQL Server, DB2, Oracle, etc.) can maintain and troubleshoot them, not to mention an essential database maintenance know-how in SQL, the Structured Query Language. DBA maintenance also includes installation, maintenance, and updates for database management systems.
Database backups need to be done, effective disk use and application being hung up or even transaction rollbacks need to be monitored, and applications cannot be allowed to hang. In addition, the physical implementation of the database needs to be monitored and DBAs need to be aware of what is happening to the database with respect to performance so that they can adjust the database if it is performing poorly.
Improving Data Security
One of the major responsibilities of a knowledgeable DBA is to improve the security of the data through access control. The database administrator provides access to the users who need access to the data and removes a user’s access to any information, also altering a user’s access and privileges.
Other security responsibilities of a database administrator include:
- Providing data security education to database users.
- Creating best practices for data security.
- Collaborating with cybersecurity specialists on data security initiatives.
Database administrators also work to optimize securities by learning the latest in technological advances that prioritize security, as well as many of them obtaining cybersecurity certifications, which place them as more competitive job candidates and as more knowledgeable DBAs.
Creating Database Documentation
What some of a DBA’s duties are includes, among others, helping users, who are not experts in using databases, to use a system securely. Developing database documentation can be helpful to database administrators to prepare for this.
Documentation defines the database and its data contained in it and describes how the database is used and the applications it supports. Documentation defines how users who are authorized can be properly identified, how the system can be properly restored or restarted from a backup, and how authorized users can succeed in accessing the database. Documentation defines how cataloging of the data can be done. The data catalog lists what data is contained in the database, who the database owners are, and how the data can be accessed.
Training Others in Database Management
Employees of a DBA’s team need to take an overview of database management in the company. A database administrator may teach database availability, inputting data, database concepts, queries by SQL in a database, and reports generated from the database. Sometimes DBA documents about the training for members of the team.
Performing Backup and Recovery
Everyone who works with a database knows that database backups are a key requirement. Everyone regularly backs up the database and takes steps to ensure that those backups can be restored. DBAs continue to test and certify those backups regularly to ensure they continue to work as expected.
Planning for Future Growth
For database administrators, mitigation involves planning for the growth of database systems. To do so effectively, the DBA first looks forward in time and examines the usage patterns of the database system and its overall capacity needs. The DBA then, focusing on trends, suggests what type of system changes and upgrades might become necessary.
Planning an IT career? Learn about a database administrator’s typical work activities, skills, and pay in Your Next Move: Database Administrator.
Skills Required for a Career in Database Administration
A great database administrator has a very solid toolkit, enough to embrace all of the roles listed above, and more. A database administrator should have skills in:
- Data analysis
- HTML
- Database management
- Database providers
- Troubleshooting
- Database design
- Database structure
- Programming languages
- Information systems
- Data management
- Performance tuning
- Data architecture
- Database security
- Indexes
- End user management
- Data science
- Data administration
- Data analytics
A DBA should be knowledgeable working with Linux, UNIX, and Windows Operating System and Microsoft Access, Microsoft SQL Server, MySQL, Oracle, and other database and computer systems and operating systems. By and large, most DBAs work well within an organization, have great communication skills, and are organized and logical in their thinking.
Those skills can be acquired through experience in the performance of database-specific tasks, and can be augmented by independent study and the best database certifications. Decreasingly in trend, DBAs achieve a bachelor’s degree in either computer science, information science, or management information systems. Some possess a master’s degree in one of the same.
Where is PostgreSQL used?
The Hidden Prowess of PostgreSQL
- Under the hood of your favorite Insta-food pics, PostgreSQL is the chef curating and serving your feed without a hiccup.
- Got a retail therapy bot? Thank Postgres for not buying 12 pairs of socks when you just wanted one.
- In the gaming realm, Postgres is the stealthy NPC keeping score while you're out there claiming virtual glory.
- Imagine the world's biggest library with a grumpy librarian; that's PostgreSQL in charge of healthcare records, except it never shushes you.
PostgreSQL Alternatives
MySQL
MySQL is an open-source relational database management system. It's known for its ease of use and speed, and it's often used for web applications.
- Widely used and supported
- Flexible and easy to set up
- Performs well in web applications
- Limited functionalities compared to PostgreSQL
- Less advanced security features
- Performance can degrade with complex queries
-- MySQL
SELECT * FROM users WHERE age > 25;
-- PostgreSQL
SELECT * FROM users WHERE age > 25;
MongoDB
MongoDB is a NoSQL database that stores data in JSON-like documents. It excels in applications that need quick iteration and flexible data models.
- Highly scalable
- Flexible document schemas
- Agile and developer-friendly
- Transactions are less robust than SQL
- Joins and complex queries can be challenging
- Data consistency can be an issue
// MongoDB
db.users.find({ age: { $gt: 25 } });
// PostgreSQL
SELECT * FROM users WHERE age > 25;
SQLite
SQLite is a self-contained, serverless, zero-configuration, transactional SQL database engine. It's perfect for mobile and lightweight applications.
- Lightweight and self-contained
- Zero-configuration necessary
- Good for embedded applications
- Not suited for high concurrency
- Lacks advanced features
- Write operations are serialized
-- SQLite
SELECT * FROM users WHERE age > 25;
-- PostgreSQL
SELECT * FROM users WHERE age > 25;
Quick Facts about PostgreSQL
Back in Time: PostgreSQL’s Baby Steps
Imagine it’s 1986, and the computer world is buzzing with neon leg warmers and side-ponytails. Michael Stonebraker, a dude with a vision from the University of California at Berkeley, kicks off the PostgreSQL journey with a project named POSTGRES. This project was meant to evolve the groundbreaking Ingres database into something even cooler, like trading in a Walkman for an iPod.
From SQL Whispers to Roars
By 1995, POSTGRES was teaching itself a new trick: speaking SQL. Yes, that's like learning French in Paris! The addition of SQL transformed POSTGRES into PostgreSQL, giving it a language everyone at the data party understands. It's like going from using Morse code to hosting a slick podcast.
Shapeshifting Through Versions: The PostgreSQL Chameleon
PostgreSQL has been through more costume changes than a pop star. From the vintage 6.0 release in 1997, which was like the 8-track tape of databases, to the fresh-as-avocado-toast PostgreSQL 14 in 2021, PostgreSQL is the Madonna of databases. With each release, it struts out new features like data types faster than a quick-change act!
// Let's say it's the '90s and you're adding 'Hello World' to your database:
INSERT INTO table_of_cool (message) VALUES ('Hello World');
What is the difference between Junior, Middle, Senior and Expert PostgreSQL developer?
| Seniority Name | Years of Experience | Average Salary (USD/year) | Responsibilities & Activities |
|---|---|---|---|
| Junior PostgreSQL Developer | 0-2 | 50,000-70,000 |
|
| Middle PostgreSQL Developer | 2-5 | 70,000-100,000 |
|
| Senior PostgreSQL Developer | 5-10 | 100,000-130,000 |
|
| Expert/Team Lead PostgreSQL Developer | 10+ | 130,000+ |
|
Top 10 PostgreSQL Related Tech
SQL Prowess: "Speak the 'Postgres' Lingo"
Every PostgreSQL developer must be fluent in the native tongue of databases: SQL (Structured Query Language). It's like the Esperanto for data manipulation and retrieval – a must-have in your polyglot programming utility belt. You ought to know how to craft queries that can summon data like magical incantations – from simple SELECT statements to complex JOIN operations capable of bending relations to your will.
SELECT name, job_title FROM wizards WHERE wand_power > 9000;PL/pgSQL: "Postgres' Secret Spellbook"
PL/pgSQL stands for Procedural Language/PostgreSQL SQL, the go-to tool for enchanting PostgreSQL with business logic directly in the database through user-defined functions and stored procedures. Think of it as writing little data-manipulating wizards locked up in your database, ready to perform complex tasks on your command.
CREATE FUNCTION raise_hp(target_id INT, hp_boost INT) RETURNS VOID AS $$
BEGIN
UPDATE adventurers SET hp = hp + hp_boost WHERE id = target_id;
END;
$$ LANGUAGE plpgsql;pgAdmin: "The Crystal Ball of PostgreSQL"
pgAdmin is like the trusty sidekick for every database sorcerer, a graphical interface to gaze into the depths of your PostgreSQL databases. Through this mystical pane, you can poke around your data, run spells...err...queries, and maintain the health of your database realms without whispering a single command line incantation.
PostGIS: "The Cartographer's Tool"
For those who need to navigate the mystical lands of geospatial data, PostGIS is the compass that turns PostgreSQL into a spatial database with superpowers. It allows you to conjure up location-based queries and build maps that can reveal hidden patterns like a treasure map x-marks-the-spot.
pgBouncer: "The Bouncer at the Data Tavern"
pgBouncer stands guard at the entrance to your database, managing the flow of client connections like a burly doorman at a club. It maintains a pool of connections so your database doesn't get trampled by overzealous application servers trying to party all at once.
pgBackRest: "The Keeper of the Scrolls"
No quest is without risk, and losing your data is akin to letting the evil lord win. pgBackRest is your guardian, ensuring you can always resurrect your data kingdom with backup and restore abilities so powerful they feel like time travel.
Patroni: "The Database Watchtower"
Patroni stands vigilant, ensuring your PostgreSQL deployment's high availability. It's like having a wise old wizard perched atop the tallest tower, ready to cast failover spells and switch masters like a pro if the current one kicks the cauldron.
Logical Replication: "The Copycat Charm"
Logical replication allows for copying selected data from one database to another – think of it as creating a clone army of your data. This selective replication is like having doppelgangers for your data that can take up arms in another castle if the fort is about to fall.
PEM (PostgreSQL Enterprise Manager): "The Overseer's Gaze"
The PostgreSQL Enterprise Manager is like the Eye of Sauron for your databases (but in a less malevolent way). It provides a bird's-eye view of your database landscape, monitoring performance, and alerting you to potential disturbances in the force…err…performance metrics.
Python and psycopg2: "The Alchemist's Mix"
Mixing Python with psycopg2 is like the alchemy of database interaction. Python's versatility combined with psycopg2's PostgreSQL-specific features let you transmute your queries and data into golden applications with ease.
import psycopg2
conn = psycopg2.connect("dbname=spellbook user=magician")
cur = conn.cursor()
cur.execute("SELECT * FROM potions WHERE effectiveness > 90")
potent_potions = cur.fetchall()