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.

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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
  • 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
  • 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 U.S. 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

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How to become a Python-data engineer?

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. are the most insightful information from the raw data.

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 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 and in the years to come.

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, processing raw, and 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 store 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 and 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. 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. 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. 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. 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. 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. 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. 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.

Interested in remote Python-data engineering jobs?

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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?

Elite U.S. jobs

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

Career growth

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

Exclusive developer community

Join a worldwide community of elite software developers.

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

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

Great compensation

Working with top U.S. 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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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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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briefcase
Senior Full-Stack Developer (Python)

About the Client


We are a fast-growing Managed Service Provider (MSP) serving complex, high-demand environments. We’re investing heavily in  automation, reporting, and internal products to:

· Eliminate repetitive manual work

· Give leadership accurate, real-time visibility through data and dashboards

· Build internal platforms that become core to how we operate and scale

You won’t be “just a developer.” You’ll be a partner in designing how the business works.


About the Role


We are looking for a Senior Full-Stack Developer (Python-first)  with a consultant mentality—someone who can sit with stakeholders,  understand the business problem, challenge assumptions, design a solution, and then actually build it.

You’ll sit in our DevOps /  Internal Products team and focus on automation, data pipelines, and internal applications that make our teams and clients more effective.  You’ll act as an internal consultant + builder: framing problems,  proposing options, and delivering working solutions.


If you  enjoy asking “why,” mapping out the real need, and then shipping tools  and automations that create measurable impact, this role is for you.


Responsibilities


  • You will take business problems from idea → design → implementation → iteration

    1. 1. Internal Applications & Tools
  • · Design and build internal apps that improve client management, service delivery, and operations/back-office workflows.
  • · Implement back-end services (primarily in Python) and practical front-end experiences.
  • · Integrate multiple systems (internal tools, third-party SaaS, line-of-business apps).

    2. 2. Data Pipelines & Reporting
  • · Build and maintain ETL/ELT pipelines to ingest, transform, and model data from multiple systems.
  • · Design data models that support reporting and analytics for leadership, account management, and finance.
  • · Work closely with BI/reporting tools (e.g. Power BI or similar) to ensure data is accurate, documented, and usable.

    3. 3. Automation & Workflow Optimization
  • · Identify repetitive, error-prone processes and own their automation end-to-end.
  • · Connect APIs, data sources, and internal tools to reduce manual effort and errors.
  • · Track and communicate the impact of your work (time saved, errors reduced, faster cycles, etc.).

    4. 4. Consultative Stakeholder Collaboration
  • · Act as an internal consultant to operations, finance, service, and leadership.
  • · Ask probing questions to clarify goals, constraints, and tradeoffs before jumping into code.
  • · Translate business pain points into clear technical options (“Option A vs B vs C”) and help stakeholders choose.
  • · Push back thoughtfully when a proposed solution isn’t optimal, and recommend simpler or higher-impact alternatives.
  • · Communicate progress, risks, and impact in clear, non-technical language.

    5. 5. Architecture & Technical Direction
  • · Contribute to patterns, standards, and best practices for internal tools and automation.
  • · Help make decisions on tech stack, structure, and long-term maintainability.
  • · Participate in code reviews and mentoring for other developers where appropriate.

Qualifications


  • Strong professional experience with Python (services, scripts, automation, data processing).
  • Strong SQL skills and experience with data modeling, ETL/ELT, and working with structured data.
  • Experience building APIs, back-end services, or internal tools that support real users.
  • Hands-on experience integrating with RESTful APIs and third-party platforms.
  • Familiarity with Git and modern development workflows.
  • Consultant Mindset & Ways of Working (Must-Have)
    · You think and act like a consultant, not an order-taker.
    · Comfortable sitting with non-technical stakeholders, understanding their world, and reframing the problem.
    · Regularly ask, “What are we really trying to achieve?” before deciding how to build.
    · Can explain technical options in plain business language, including tradeoffs (time, risk, complexity, impact).
    · Strong ownership mindset—you don’t just design the solution, you drive it through to done.
    · Measure success in business outcomes (time saved, fewer errors, better visibility), not just completed tickets.


Offer Details

  • Full-time contractor or full-time employment, depending on the country
  • Remote only, full-time dedication (40 hours/week)
  • 6 hours of overlap with Pacific Timezone
  • Competitive compensation package.
  • Opportunities for professional growth and career development.
  • Dynamic and inclusive work environment focused on innovation and teamwork

Business Services
11-50 employees
PythonSQLREST/RESTful APIs
briefcase
Web Developer

A U.S.-based company that is developing cutting-edge modern solutions to help businesses resolve their digital marketing challenges, is looking for a Web Developer. The developer will be responsible for bug fixes, upkeep, and maintenance of the internal sites. The company also provides world-class digital marketing, social media management, and software solution services to solve multi-faceted problems. This is an amazing opportunity for developers who are eager to work in a fast-paced environment. 

 

Job Responsibilities:

  • Create unique websites and content management systems (CMS) for marketing, e-commerce, and portal solutions
  • Use development technologies such as task automation (gulp/grunt), webpack, Git, and CSS preprocessors
  • Combine React with a Headless CMS such as GraphCMS and Strapi
  • Create front-end technology stacks using PostCSS, Reshape, SASS CSS, and Foundation HTML
  • Utilizing PHP Content Management Systems like WordPress and CraftCMS, create unique website themes and plugins
  • Create your own plug-ins to support JSON/XML and API interaction
  • Manage project delivery and deployments using GitHub, AWS, and other tools
  • Internally, work on creating, developing, and delivering superior digital solutions
  • Work closely with the current team while concentrating on implementing modern technology to develop web-based solutions
  • Strong ability to experiment with and learn new technologies while pushing the limits of existing norms

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Web Developer
  • 4+ years of experience working agency-side or client-side on a technical team
  • Demonstrable experience with React, Next.js, WordPress, and PHP
  • Prolific experience working with API-based and headless CMS like GraphCMS 
  • In-depth knowledge of PHP Content Management Systems like WordPress and CraftCMS
  • Prior experience architecting custom websites and CMS systems 
  • Demonstrable experience with deployment on Vercel
  • Extensive expertise in constructing custom website themes and plugins 
  • Demonstrable experience with development tools, creating front-end stacks, and building full-stack websites
  • Ability to oversee the delivery and deployment of various projects and a solid understanding of design and fast prototyping
  • Demonstrable expertise in the architecture, migrations, updates, and troubleshooting of WordPress 
  • Extensive knowledge of the WordPress plugins Semplice, Elementor, and others 
  • Short notice availability in case of website outages or priority fixes 
  • Expertise as a freelance developer and the adaptability to successfully juggle this position with other commitments 
  • Nice to have some Jira/Confluence experience 
  • Some working knowledge of relational databases like MySQL is desirable
  • Familiarity with AWS, Heroku, or other cloud platforms is preferred
  • Strapi experience with headless CMS would be ideal, but any experience with headless CMS is beneficial as long as the developer has a solid grasp of headless architecture
  • Value team cooperation, information sharing, documentation, and learning 
  • Constant desire to be engaged in the developer/tech community and learn new programming frameworks and languages
  • Excellent spoken and written English communication skills
Business Services
51-250 employees
ReactNext.jsWordPress+ 1
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