Remote API/data engineer jobs at top U.S. companies

We, at Turing, are looking for highly-skilled remote API/data engineers who will be responsible for developing and maintaining scalable data pipelines and builds out new API integrations for enterprise data strategy. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Develop and maintain scalable data pipelines and builds out new API integrations
  • Contribute to technical discussions to decide upon approaches and tools for individual projects
  • Implement techniques and systems to monitor data quality
  • Perform data analysis required to troubleshoot data related issues
  • Build infrastructure to unite large-scale systems to access and process data
  • Define APIs to empower fast and intuitive data identification, exploration and action
  • Visualize abstractions to unify different data models and systems

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience in API development (rare exceptions for highly skilled developers)
  • Extensive experience in Python, R, and API functionalities
  • Strong understanding of SQL, T-SQL, and ability to manipulate data using SQL
  • Experience of data processing using Python or Java
  • Good grasp of RESTful APIs and data streaming
  • Knowledge of big data technologies, like Hadoop, Hive, etc.
  • Knowledgeable of developing backend microservices
  • Hands-on experience with RDBMS systems (Postgres, MySQL, Oracle, etc.)
  • Familiarity with building large-scale distributed systems
  • Strong grasp on data structures, distributed systems, concurrency, and threading
  • Working experience with Scala, Java or any JVM-based language
  • Passionate about building inter-operable APIs for search, discovery, access, and attribution
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Knowledge of building web applications (Angular, React)
  • Experience with event-driven services like Kafka, Kinesis
  • Idea about building services with gRPC
  • Methodical approach to unit and integration testing
  • Working experience within an Agile environment
  • Strong analytical, consultative, and communication skills
  • Excellent organizational and leadership skills

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How to become an API/Data engineer?

The decisions taken throughout the planning and development stages determine the business of a firm. However, few decisions are as difficult, crucial, and high-stakes as how a company interacts with third-party solutions. An application program interface, or API, enables businesses to access data from other apps. A well-designed API makes it simple for partners to incorporate into their platform. Competitors can make use of an open API. Because of its collaborative nature, having an open API offers new options without losing the confidentiality required internally within corporate teams.
The process of designing and building large-scale data collecting, storage, and analysis systems is known as data engineering. It's a broad field with applications in practically every industry. Organizations can collect massive amounts of data, but they must have the right people and technology in place to ensure that the data is in usable shape by the time it reaches data scientists and analysts. Data engineers create systems that collect, process, and transform raw data into usable information for data scientists and business analysts to understand in a variety of settings. The ultimate goal is to make data more accessible so that firms may evaluate and improve their performance.

What is the scope in API/Data Engineering?

Application programming interfaces (APIs) make it easier to manage existing tools and even create new ones. APIs are essential for offering services in the best possible way and at the pace demanded by the digital world. As a result, API developers and API developer jobs are in great demand in the technological area. API testing is gaining popularity, and properly so. Most of today's popular online apps would be difficult to develop without the use of APIs. It is more vital than ever to have the correct method, tool, and solution in place for API automation tests. This instantly resulted in an increase in the number of API developer jobs.
As more companies get on the Big Data bandwagon and mine data for relevant insights, the need for data-related jobs grows by the day. Engineers who work with data are not immune. Companies are constantly on the lookout for skilled Data Engineers who can deal with massive volumes of complex data to provide relevant business insights. API/data engineer jobs are one of the most in-demand in the industry. They are highly recognized by businesses across the board and are handsomely rewarded for their work.

What are the roles and responsibilities of an API/Data engineer?

An API developer is critical in making an organization's API economic ambitions a reality. Every business needs an API developer, which is why there is always at least one job opening for an API developer. The primary goal of API developers is to examine the API vision created by the organization's stakeholders. The developer will collaborate with these stakeholders to establish an API that satisfies the demands of the company. To guarantee that the API generates the greatest design and developer experience possible, developers use an API-first design strategy. The development and implementation of the API should take precedence over any preconceived notions.
The primary role in an API/ Data Engineer job is to develop and create a solid infrastructure for transforming data into forms that Data Scientists can interpret. Data engineers must be able to recognize trends in large datasets as well as build scalable algorithms for converting semi-structured and unstructured data into useful representations. Essentially, data engineers prepare and modify raw data so that it may be used for analytical or operational purposes. Now, let's have a look at the duties in an API/Data engineer job:

  • Architectures must be designed, built, tested, and maintained.
  • Assembling massive, complex datasets that are aligned with business needs
  • Make use of cutting-edge analytics tools, machine learning, and statistical methods.
  • Modern data security and governance security methods
  • Complex functional and technological requirements must be translated into intricate designs.
  • Data storage using technologies such as Hadoop, NoSQL, and others
  • Finding hidden patterns in data chunks and building models
  • Integration of data management techniques into the present organizational structure
  • Assist with the development of a robust infrastructure and smooth third-party integration.
  • Create high-performance, scalable web services for data tracking.
  • Analyze, design, develop, write, and implement programmes for feature-rich Web Applications in more than one programming language.
  • Assist with system integration, test strategy, scripting, and application debugging.
  • Investigates the operation and performance of software programmes and databases.
  • Build programmes, alter existing programmes, collect test data, and create functional specifications based on the specifications.
  • Analyze program and application performance using various programming languages, tools, and approaches.
  • Educate non-technical personnel on how to use software and hardware systems successfully.
  • Examine project ideas, weigh options, calculate costs, and provide suggestions.
  • System designs and requirements must be created.
  • Identify possible areas for process improvement, provide alternatives, and make recommendations.

How to become an API/Data engineer?

Let's take a look at the steps required to hunt for API/Data engineer jobs and pursue a career in API development. There is always a vacancy in reputable firms due to the increased demand for API/Data engineer jobs. To begin, keep in mind that there is no formal schooling required to become an API/Data engineer. You can learn API development and create a profession out of it whether you're a graduate or a non-graduate, experienced or inexperienced.
Most businesses demand API/Data engineers to have a bachelor's degree in order to apply for API/Data engineer jobs. The necessity might be for a variety of reasons. For starters, if you have a suitable academic background, you will be able to better grasp computer programming and web development, which will substantially help you master API development. Second, while recruiting API/Data engineers, many firms need candidates to have a certain degree, making it simpler for you to obtain meaningful career possibilities. Prospective companies appreciate those who have real expertise writing code and building applications. When applying for API/Data engineer jobs, experience with API testing, cloud protocols, and data management/query is a plus.

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Skills required to become an API/Data engineer

API/Data engineers must possess a set of specific abilities that determine their ability to convert organizational needs into outstanding APIs. Furthermore, if they want to apply for high-paying API/Data engineer jobs, they must have these talents.

1. API design

Knowing how to make API connections across various devices will help you improve your API abilities. Learning API design strategies for each system can help mobile and desktop application developers improve and diversify their talents. API designers may create integrated tools, micro-servers that run across many platforms, and apps that improve connectivity and communication. For example, a software developer can employ API design to translate and link smartphone operating systems to car media software. This enables users to make calls, answer to text messages, and change music while traveling in safety.

2. Front-end development

While API development is not often included in front-end development, understanding how to design an application from the bottom up will help you comprehend API development fundamentals. Many programming standards in current businesses emphasize product compatibility throughout front-end development. Front-end developers may be able to accelerate the development of their API programming abilities by studying the principles of program compatibility. For example, designing a software for mobile and desktop platforms may not entail full API compatibility. Learning how to design software compatibility, on the other hand, will help developers quickly adapt to API development.

3. Hadoop & Spark

The Apache Hadoop software library is a framework that allows for the distributed processing of enormous data volumes across clusters of devices by utilizing fundamental programming principles. It is designed to scale from a single server to thousands of devices, each with its own CPU and storage capacity. The framework supports Python, Scala, Java, and R as programming languages. While Hadoop is the most powerful technology for handling enormous amounts of data, it has some drawbacks, including sluggish processing and a high degree of coding. Apache Spark is a data processing engine that supports stream processing, or continuous data input and output. It's comparable to Hadoop in that it does a lot of the same things.

4. Data warehousing

A data warehouse is a relational database that can be queried and analyzed. It's designed to provide you with a long-term perspective of data over time. A database, on the other hand, is constantly updated with real-time data. Data engineers must be familiar with the most prominent data warehousing solutions, such as Amazon Web Services and Amazon Redshift. Almost all data engineer job requirements include AWS as a need.

5. Data APIs

A data access interface for software applications is referred to as an API. It allows two apps or devices to communicate with one another in order to execute a task. APIs are used in web applications, for example, to communicate between the user-facing front end and the back-end functionality and data. An API enables an application to access a database, get information from relevant database tables, process the request, and give an HTTP-based answer to the web template, which is then shown in the web browser. Data engineers provide APIs in databases to allow data scientists and business intelligence analysts to query the data.

Interested in remote API/Data engineer jobs?

Become a Turing developer!

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How to get remote API/Data engineer jobs?

We went through the skill sets needed to land an API/Data engineer job. The most important thing, though, is to practice as much as possible. There are fresh developments every day. More individuals will enter the industry as it grows more profitable, increasing your competition. It will not be difficult to enhance your career if you stay up with current industry trends.
Turing has the greatest remote API/Data engineer jobs that can help you achieve your API/Data engineer career objectives. You'll also get the chance to polish your skills by collaborating with other competent developers to tackle difficult technical difficulties. Join a network of the world's most excellent API/Data engineers to get full-time, long-term remote API/Data engineer jobs with greater salary and career chances.

Why become an API/Data engineer at Turing?

Elite US jobs
Elite US jobs

Long-term opportunities to work for amazing, mission-driven US companies with great compensation.

Career growth
Career growth

Work on challenging technical and business problems using cutting-edge technology to accelerate your career growth.

Exclusive developer community
Exclusive developer community

Join a worldwide community of elite software developers.

Once you join Turing, you’ll never have to apply for another job.
Once you join Turing, you’ll never have to apply for another job.

Turing's commitments are long-term and full-time. As one project draws to a close, our team gets to work identifying the next one for you in a matter of weeks.

Work from the comfort of your home
Work from the comfort of your home

Turing allows you to work according to your convenience. We have flexible working hours and you can work for top US firms from the comfort of your home.

Great compensation
Great compensation

Working with top US corporations, Turing developers make more than the standard market pay in most nations.

How much does Turing pay their API/Data engineers?

You may establish your own price as an API/Data engineer at Turing. To assist you in getting started, Turing will propose a salary at which we are confident we can locate a successful and long-term opportunity for you. Our recommendations are based on our evaluation of market circumstances as well as consumer needs.

Frequently Asked Questions

We are a Palo Alto-based 'deep' jobs platform allowing talented software developers to work with top US firms from the comfort of their homes. We are led by Stanford alumni and successful A.I. entrepreneurs Jonathan Siddharth and Vijay Krishnan.

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.

It is the combination of our core business model and values that makes us different from others. We provide full-time, long-term projects to remote developers whereas most of our competitors offer more freelance jobs.

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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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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