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Remote Python/Data engineer jobs

We are looking to hire highly capable data engineers with working experience as a Python developer. You will be required to build an effective data architecture, create data engineering pipelines, maintain large-scale data systems, and streamline data processing.

Check out the best jobs for October 2021here

Job description

Job responsibilities

  • Automate common file system tasks & build API integrations to handle large databases
  • Build high-performance databases, and improve data models
  • Implement data security and protection practices
  • Write unit/integration tests to maintain accuracy in the data models
  • Automate common file system tasks & build API integrations to handle large databases
  • Build high-performance databases, and improve data models
  • Implement data security and protection practices
  • Write unit/integration tests to maintain accuracy in the data models
  • Perform data analysis and implement solutions to improve processes

Minimum requirements

  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience as Data Engineer/similar roles (rare exceptions for skilled devs)
  • Proficiency in Python development
  • Experience with SQL, dimensional data modeling, and schema design
  • Bachelor’s/Master’s degree in Computer Science (or equivalent experience)
  • 3+ years of experience as Data Engineer/similar roles (rare exceptions for skilled devs)
  • Proficiency in Python development
  • Experience with SQL, dimensional data modeling, and schema design
  • Experience with common data science toolkits like NumPy, Pandas, SciPy, etc.
  • Experience with programming languages such as R, MATLAB, etc.
  • Good understanding of applied statistics: regression, distributions, statistical testing, etc.
  • Fluency in English to collaborate with engineering managers
  • The ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Experience with Agile Software Development methodologies
  • Excellent problem solving and troubleshooting skills
  • Experience with building, and maintaining data processing systems
  • Working knowledge of NoSQL is a plus
  • Experience with Agile Software Development methodologies
  • Excellent problem solving and troubleshooting skills
  • Experience with building, and maintaining data processing systems
  • Working knowledge of NoSQL is a plus

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How to become a Python-data engineer in 2021?

Data engineering primarily includes designing and building systems for accumulating, storing, and analyzing data. While organizations across industries collect enormous data, they need the top professionals expert in the right technology to generate the most insightful information from the raw data.

Data engineers need to have a strong command of scripting languages like Python to solve complex problems on a coding level. Python-data engineering jobs responsibilities include building, maintaining data pipelines, warehousing Big Data, etc.

Remote Python-data engineering jobs are seeing an exponential increase as more and more companies worldwide lean towards data. If you have gained expertise and fine-tuned your data science skills, you can be a top Python-data engineer. Data engineering offers the opportunity to bag a secure, high-paying remote job.

What is the scope in Python-data engineering?

Python-data engineering jobs are not always entry-level roles, but you can shift to managerial positions or become a data architect or machine learning engineer after a few years of experience and vast expertise. Even the data engineers may also start their careers as software engineers or BI analysts.

As long as companies accumulate and process huge data sets, data engineering jobs will be in demand. While data engineering jobs are the top trending jobs in the technology industry, LinkedIn further listed Python-data engineering jobs in the list of jobs on the rise in 2021.

Data engineers play a vital role in an organization’s progress. They create scalable solutions with their Python programming and problem-solving skills.

What are the roles and responsibilities of Python-data engineers?

Typically Python-data engineering jobs responsibilities are focused on developing and maintaining an organization’s data infrastructure that includes databases, data warehouses, and data pipelines. A data engineer primarily needs to transform data into a format that is actionable for analysis.

The data transformation cycle starts with cleaning, organizing, and processing raw, unorganized data. Next comes the data pipelines that refer to the configuration of the data processing and data storage systems. In this cycle, data engineers design and deploy systems to collect raw data from a SaaS platform or email marketing tool, clean, transform, and route data to destination systems, and storing it in a data warehouse. Later, these data can be easily analyzed by data scientists using analytics and BI tools.

Though the primary task for data engineers is managing and organizing data, they also need to stay updated with the latest trends or deviations that may strike business goals. Overall, this is an exclusive technical position, which requires extensive knowledge and experience in programming, mathematics, and computer science. And specifically for the Python-data engineering jobs, the engineers need to have an exceptional grasp of the Python programming language.

Data engineers have to collaborate with other members, including data architects, data analysts, and data scientists, to research and discover new data accumulation methods and more efficient utilization for existing data.

Thus, Python-data engineers should be able to perform some common tasks when working with data, like -

  • Collecting datasets that align with business requirements
  • Developing algorithms to convert data into useful, insightful information
  • Building, testing, and sustaining database pipeline architectures
  • Collaborating with management to recognize company objectives
  • New method development for data validation and data analysis tools
  • Ensuring agreement with data management and security policies

How to become a Python-data engineer?

Let's move on to the path that one must take to pursue a profession in the Python-data engineering jobs field. To begin, keep in mind, you need to be formally educated with a major in mathematics, statistics, computer science, or any relevant subject to become a data engineer. Other than this, you also need command of the relevant technical and non-technical skills. Fresher data engineers may get jobs in start-ups and smaller businesses where they will work in all the areas of data engineering.

However, you may have heard that to get remote Python-data engineering jobs, you must have 3-5 years of experience. It is true for a couple of reasons. First, industry experience allows you to recognize the vast opportunities while working remotely in top Silicon Valley companies. Second, many organizations hire candidates with a proven track record to ensure a risk-free, fruitful hire.

Now, let's look at the skills and practices you'll need to master to join the league of remote data engineers.

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Skills required to become a Python-data engineer

The first step is learning the fundamental skills that can get you high-paying remote Python-data engineering jobs. Let’s take a look at what you need to know!

  1. 1. Coding

    Proficiency in coding with Python programming language is essential to bag Python-data engineering jobs. Besides Python, knowledge in other common programming languages, including Java, R, Scala, SQL, NoSQL, etc., is a plus.

  2. 2. Relational and non-relational databases

    Knowledge of databases is crucially important as it is one of the most common solutions for data storage. A prospective Python-data engineer should have familiarity with both relational and non-relational databases and their work process.

  3. 3. ETL (Extract, Transform, Load) systems

    Through the ETL system, data is moved from databases and other sources to a single repository, like a data warehouse. Therefore, the data engineers must master the common ETL tools, such as Xplenty, Stitch, Alooma, and Talend.

  4. 4. Automation and scripting

    Automation is essential when working with Big Data. As organizations need to collect information from the raw data and perform repetitive tasks, they hire efficient data engineers who write effective scripts to automate these tasks.

  5. 5. Big Data tools

    Data engineers not only work with regular data, but they are also responsible for managing Big Data. New tools and technologies are emerging and different organizations have different preferences; therefore, the data engineers need to master popular Big Data tools, like Hadoop, MongoDB, and Kafka.

  6. 6. Programming languages

    Python is the top programming language used for statistical analysis and modeling, whereas Java is used in data architecture frameworks. Scala is an extension of the Java language and is interoperable with Java.

  7. 7. Algorithms and data structures

    Though the Python-data engineering jobs focus on data filtration and data optimization, basic knowledge of algorithms helps understand the larger scenario of the organization’s overall data function. It also helps in defining checkpoints and end goals for the business problem at hand.

  8. Interested in remote Python-data engineering jobs?

    Become a Turing developer!

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How to get remote Python-data engineering jobs?

Data engineers need to work hard enough to stay updated with all the recent trends and market aberrations and grow their skills gradually over time. In order to excel at their profession, they have to practice effectively and consistently. In that regard, there are two major factors that engineers must focus on to progress. They might get support from someone who is more experienced and effective in training new techniques while they are practicing. Further, as a data engineer, it's vital to fine-tune your analysis, computer engineering, and big data skills, so make sure there is someone who will help you out and keep an eye on your progress.

Turing offers the best remote Python-data engineering jobs that suit your career trajectories as a Python-data engineer. 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 Python-data engineering jobs with better compensation and career growth.

Why become a Python-data engineer at Turing?

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Elite US jobs

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

Elite US jobs

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

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Career growth

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

Career growth

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

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Exclusive developer community

Join a worldwide community of elite software developers.

Exclusive developer community

Join a worldwide community of elite software developers.

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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.

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.

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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.

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.

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Great compensation

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

Great compensation

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

How much does Turing pay for their Python-data engineers?

At Turing, every data engineer is allowed to set his/her rate. However, Turing will recommend a salary at which we know we can find a fruitful and long-term opportunity for you. Our Python-data engineering jobs recommendations are based on our assessment of market conditions and the demand that we see from our elite customers.

Frequently Asked Questions

What does a Python engineer do?
The job of a Python engineer is to write server-side web application logic. Their prime work is to integrate the Python software with an existing system or testing existing code to remove the bugs present by writing efficient and scalable Python codes. They assist the front-end developers and work on connecting applications with third-party web services.
Is Python enough to get a job?
Having substantial expertise in Python may or may not be enough depending on the company and the job role you are applying for. It's always a good practice to upskill and learn JavaScript, HTML, and CSS, as these languages are used to create web applications. Besides that, communicate with other people in developer communities and glance through the job descriptions of Python developers. If you are proficient with Python and looking to work from the comfort of your home, sign up at Turing.
What is Turing?
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.
How do I become a Python engineer?
To become a Python engineer, learn HTML, CSS, and web frameworks. Acquire knowledge of databases like SQLite, MySQL, and skills to write Python scripts with server-side web logic. Have a good grip on Tkinter, a software used for GUI-based web applications. Once you're confident, sign up at Turing and land up a job at the Top U.S. companies as a Python engineer.
How to get a Data engineer job?
Having hands-on experience in coding, command line, creating ETL pipelines, proficiency at cloud services to work with data is sufficient to get a job. However, it depends upon the company as they could be looking for a specific skill set too. Be well prepared to answer the tech questions in the interview and glance at the job description of data engineers to get a clear idea. Along with that, take the Turing test to get exciting remote job offers in the Top U.S companies.
What kind of developers does Turing hire?
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.
Is Python in high demand?
Yes, the demand for people skilled in the Python programming language is high in the market. Python is not only an easy and simple language to handle but also has a user-friendly syntax wherein it has an abundance of libraries and frameworks. As a cross-platform language coupled with other benefits it holds that profit a firm, you can land a remote Python engineer job and work with elite Silicon Valley companies.
Is Data engineer a good career?
As per LinkedIn's emerging job reports and burning glass nova platform, data engineering is one of the fastest-growing jobs in recent years. One major statement would be focusing on how the demand for Data engineers is the growth in Big data. Companies like Accenture and Cognizant are hiring data engineers. If you are looking for a well-paying job as a Data engineer, visit Turing.com.
How is Turing different from other remote based job providers?
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.
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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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