Remote data analytics/operations engineer jobs

We, at Turing, are looking for talented remote data analytics/operations engineers who will build assembly lines to develop a data and analytic product in order to bring robust, efficient, and integrated data models. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

Find remote software jobs with hundreds of Turing clients

Job description

Job responsibilities

  • Promote DataOps approach to delivery process to automate data provisioning, testing, and monitoring
  • Increase deployment frequency to shorten development cycles and quickly meet the data analytics needs
  • Collaborate with data architects to build a data pipeline and optimize it for data solutions including data science products
  • Ensure the data pipelines are scalable and highly performant
  • Make sure to implement DataOps and automation initiatives for solutions deployed in production
  • Implement agile methodologies of working into the delivery process through the use of the DABL framework
  • Collaborate with cross-functional teams to drive a common DataOps framework for continuous delivery and quality attainment
  • Keep abreast with the latest technology approaches, new opportunities, and industry developments to get the accurate impact of services

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience with data & analytics with grip over emerging data technology platforms and management (rare exceptions for highly skilled developers)
  • Experience in development and coding with one or more programming languages including Python, Java, Scala, C++, C#, etc.
  • Experience with microservices and REST API end-points
  • Strong knowledge of relational databases, including SQL
  • Working experience with ML deployment and operations
  • Understanding of queuing systems and distributed systems
  • Sound knowledge of software development best practices
  • Prior experience in engineering and maintaining high-performance scalable systems and multi-threaded programs
  • Solid understanding of BI and data warehousing methods
  • Proficient in tools such as Apache Spark, ELK stack, Apache Airflow, Hadoop Ecosystem, Apache Kafka, or Amazon Redshift.
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Understanding of ML algorithms, algorithmic foundations of optimization and data mining
  • Knowledge of large-scale distributed systems like Hadoop and Spark
  • Knowledge of GCP and AWS are a plus
  • Ability to explain difficult technical topics to technical/non-technical stakeholders
  • Excellent knowledge of the Agile development process
  • Great technical, analytical and problem-solving skills

Interested in this job?

Apply to Turing today.

Apply now

Why join Turing?

Elite US Jobs

1Elite US Jobs

Turing’s developers earn better than market pay in most countries, working with top US companies.
Career Growth

2Career Growth

Grow rapidly by working on challenging technical and business problems on the latest technologies.
Developer success support

3Developer success support

While matched, enjoy 24/7 developer success support.

Developers Turing

Read Turing.com reviews from developers across the world and learn what it’s like working with top U.S. companies.
4.65OUT OF 5
based on developer reviews as of June 2024
View all reviews

How to become a Turing developer?

Work with the best software companies in just 4 easy steps
  1. Create your profile

    Fill in your basic details - Name, location, skills, salary, & experience.

  2. Take our tests and interviews

    Solve questions and appear for technical interview.

  3. Receive job offers

    Get matched with the best US and Silicon Valley companies.

  4. Start working on your dream job

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

cover

How to Become a Data Analytics/Operations engineer?

Businesses across all industries are increasingly turning to data to help them make critical business decisions including which new products to develop, which new markets to enter, which new investments to make, and which new (or existing) clientele to target. They also use data to identify inefficiencies and other issues in the company that need to be addressed.

In these organisations, the data analyst's role is to give these key business processes a numerical value so that performance can be assessed and compared across time. A data analyst's job is more than just looking at numbers; they must also know how to use data to assist a company in making better decisions.

What is the scope in Data Analytics/Operations engineering?

There's no denying that businesses are going digital and that there's plenty of space for growth. And what's driving this growth? Without a doubt, its data is now considered the new oil. In recent years, big data has helped organizations make better-informed decisions and offer best-in-class goods and services that have become generally recognized. Consider the following numbers if you're not sure how serious businesses are about big data analytics: The global big data analytics market, which was worth USD 37.34 billion in 2018, is expected to grow at a CAGR of 12.3% from 2019 to 2027, reaching USD 105.08 billion. It's clear to understand how big data analytics will flourish in the future, especially with such high values.

On the other hand, Operations engineers can find work in a variety of industries. They can work in the construction industry, with responsibilities centered primarily on equipment. Because their talents are transferrable to a variety of industries, operations engineers can also work as cost estimators, consultants, and distribution managers. Local governments, institutions, and large enterprises can all use them.

Looking to know more about Data Analytics/Operations development? Then this article is for you.

What are the roles and responsibilities of a Data Analytics/Operations engineer?

A data analyst's job is to acquire and gather data, organize it, and draw usable conclusions from it. "Data analysts' responsibilities vary depending on the type of data they're dealing with (sales, social media, inventory, etc.) as well as the specific client project," says Stephanie Pham, an analyst at Porter Novelli. Data analysts are employed in a wide range of industries, including healthcare, retail, and fast-food restaurants. Employers who want to understand more about their customers or end-users may profit from the insights provided by data analysts. Analysts can take part in any step of the investigation. If you work as a data analyst remotely, you may be needed to train people on how to use your data collecting system.

Depending on the type of company and the extent to which data-driven decision-making procedures have been applied, the answer to the question "What does a data analyst do?" will vary. However, the following are the general responsibilities of a data analyst:

  • The creation and maintenance of data systems and databases, as well as the correction of coding errors and other data-related issues.
  • Data is gathered from primary and secondary sources and structured in a manner that humans and machines can understand.
  • Analyzing data sets using statistical approaches, with a focus on trends and patterns that may be beneficial for diagnostic and predictive analytics.
  • Demonstrating the significance of their work in the context of local, national, and international trends that impact their organization and industry.
  • Creating executive reports that effectively convey trends, patterns, and projections using relevant data.
  • In partnership with programmers, engineers, and organizational executives, identifying opportunities for process improvements, advocating system upgrades, and implementing data governance policies.
  • An operations engineer's duty is to ensure that a company's operations, such as production and shipping, are running smoothly and meet factory and management requirements.
  • These engineers are in charge of any machinery repairs or upgrades, as well as collaborating with other department heads to fine-tune their operating systems.

How to Become a Data Analytics/Operations engineer?

Data analytics employment is available in a wide range of businesses, and there are various methods to break into this in-demand field. Whether you're just starting out in the professional world or moving careers, here are some steps to getting a job as a data analyst. If you're interested in pursuing a career in this in-demand field, here's how to get started.

  • If you're new to data analysis, you should start by studying the fundamentals. Gaining a solid understanding of data analytics will assist you in determining whether or not this is the correct vocation for you while also equipping you with marketable skills.
  • Obtaining a remote data analytics job typically needs a set of specialised technological skills. Whether you're learning through a degree programme, a professional certificate, or on your own, these are some fundamental skills you'll likely need to get hired. Examine some job advertisements for positions you want to apply for, and focus your studies on the programming languages or visualisation tools that are required.
  • Working with data in real-world situations is the most effective way to learn how to extract value from it. Seek out degree programmes or classes that incorporate real-world projects and data sets. You can also develop your own projects using a variety of freely available public data sets.

Now, let’s dive further into the skills you need to master to become a proficient Data Analytics/Operations engineer:

Interested in remote Data Analytics/Operations engineer jobs?

Become a Turing developer!

Apply now

Skills required to become a Data Analytics/Operations engineer

Data Analytics/Operations engineer must be proficient with deductive reasoning, analytical thinking, problem solving, and Good Written and Verbal Communication. The first step is to gain the fundamental abilities that will assist you in landing a high-paying Data analyst position. Let's look at some of the things you should be aware of:

1. Database software

Microsoft Excel and SQL should be part of any data analyst's toolkit. While Excel is widely used in a variety of industries, SQL can handle larger data sets and is often considered a requirement for data analysis.

2. Programming languages

If you learn a statistical programming language like Python or R, you'll be able to manage large amounts of data and solve difficult equations. Despite the fact that Python and R are two of the most popular programming languages, it's a good idea to look at numerous job descriptions for a position you're interested in to determine which language will be most useful in your organizational growth.

3. Data visualisation

To be successful as a data analyst, you must be able to communicate your findings in a clear and convincing manner. Knowing how to present data in charts and graphs can help your coworkers, bosses, and stakeholders comprehend what you're up to. Tableau, Jupyter Notebook, and Excel are some of the programmes used to make visuals.

Understanding the principles of what data tools do will substantially benefit you in your work. A strong understanding of statistics and math will enable you in selecting which tools to use to solve a specific problem, spotting data errors, and comprehending the results.

They should also be able to give engineering support for equipment, process, or facility planning, development, operation, and maintenance.

Interested in remote Data Analytics/Operations engineer jobs?

Become a Turing developer!

Apply now

How to get remote Data Analytics/Operations engineer jobs?

Data Analytics/Operations Engineer is one of the most in-demand jobs. Obtaining a remote work is a detail-oriented profession that requires education, skills, and experience. To operate as a remote Data Analytics/Operations engineer, you'll need regular practise, a good understanding of programming languages, and a daily routine.

Turing provides the best remote Data Analytics/Operations engineer jobs available to help you achieve your career objectives. We give you the tools you need to study, grow, and advance in your Data Analytics/Operations Engineer profession. Join a global network of like-minded developers and obtain full-time remote development opportunities to further your career.

Why become a Data Analytics/Operations engineer at Turing?

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

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

Join a worldwide community of elite software developers.

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.

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.

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

How much does Turing pay their Data Analytics/Operations engineer?

Turing gives each Data Analytics/Operations engineer complete control over their price. Turing has suggested a salary that we believe will help you secure a stable long-term job. We carefully analyze your abilities, market conditions, and consumer demand before making a compensation recommendation.

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.

View more FAQs

Latest posts from Turing

‘How Do You Get a Job at Turing’ and Other Questions Answered.

Are you a developer having doubts about Turing Jobs? This article will clear all of your queries...

Read more

Turing Blog: Articles, Insights, Company News and Updates

Explore insights on AI and AGI at Turing's blog. Get expert insights on leveraging AI-powered solutions to drive ...

Read more
11 Websites to Test your Code Online

Eleven Great Websites to Test your Code Online

These tools for testing codes make it simple to work, run code online, and collaborate with other developers...

Read more
Women in Tech

Five Women Who Are Inspiring Next-Gen Software Developers

In this post, we’ve compiled a list of some of the industry’s top women developers, tech executives, entrepreneur...

Read more

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.

Explore remote developer jobs

briefcase
Engineering Researcher UG/Master’s/PhD

About Us

Turing is one of the world’s fastest-growing AI companies, pushing the boundaries of AI-assisted software development. Our mission is to empower the next generation of AI systems to reason about and work with real-world software repositories. You’ll be working at the intersection of software engineering, open-source ecosystems, and frontier AI.

Role Overview — What Does a Typical Day Look Like?

You’ll work alongside top AI researchers and domain experts shaping foundational LLMs at leading AI labs to:

  • Design and solve high-quality engineering problems that push the limits of model reasoning—spanning undergraduate through PhD-level topics.
  • Analyze and evaluate model-generated solutions using a structured evaluation and ranking framework.
  • Identify conceptual gaps, edge cases, and model blind spots—helping define new benchmarks for engineering reasoning.
  • Contribute insights that shape model fine-tuning and frontier AI research

Required Skills & Experience

  • Strong academic background in Engineering disciplines (Computer Science, Electrical, Mechanical, Chemical, Civil, Biotechnology, Robotics, or related fields)
  • Open to talent at all education levels — UG, Master’s, and PhD
  • Deep problem-solving skills and a structured, analytical mindset.
  • Strong communication skills to collaborate with technical researchers.
  • Interest in LLMs and how they work is a plus!

Engagement Details

  • Commitment: Work as an expert gig worker with flexible engagement; minimum 10 hrs/week and up to 40 hrs/week (partial PST overlap required)
  • Duration: 1 month with potential extensions based on performance and fit
-
1-10 employees
Growth EngineeringRoboticsElectronic Engineering and Telecommunications
briefcase
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.

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.
●  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


Software
11-50 employees
DjangoFlaskFastAPI+ 5
sample card

Apply for the best jobs

View more openings
Turing books $87M at a $1.1B valuation to help source, hire and manage engineers remotely
Turing named one of America's Best Startup Employers for 2022 by Forbes
Ranked no. 1 in The Information’s "50 Most Promising Startups of 2021" in the B2B category
Turing named to Fast Company's World's Most Innovative Companies 2021 for placing remote devs at top firms via AI-powered vetting
Turing helps entrepreneurs tap into the global talent pool to hire elite, pre-vetted remote engineers at the push of a button

Work with the world's top companies

Create your profile, pass Turing Tests and get job offers as early as 2 weeks.