Remote data engineer jobs at top U.S. companies

We, at Turing, are looking for talented data engineers who can build data processing and reporting infrastructure that powers company-wide insights and technical intelligence. Join forces with the top 1% of data engineers and grow with the best minds.

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Job description

Job responsibilities

  • Design database and data pipeline/ETL using emerging technologies and tools
  • Drive the team to develop operationally efficient analytic solutions
  • Define standards and methodologies for the data warehousing environment
  • Design and build highly scalable data pipelines using new-generation tools and technologies like AWS, Snowflake, Spark, and Kafka to induct data from various systems
  • Translate complex business requirements into scalable technical solutions that meet data warehousing design standards
  • Create scalable data pipelines and ETL applications that support business operations in advertising, content, and finance/accounting
  • Assist with deciphering data migration issues and improving system performance
  • Collaborate efficiently with product management, technical program management, operations, and other engineers

Minimum requirements

  • BS, MS, or Ph.D. in Computer Science or a relevant technical field
  • Extensive experience building scalable data systems and data-driven products, as well as working with cross-functional teams
  • 2+ years of related software/data engineering experience with proficiency in Python
  • Ability to create data pipelines and ETL applications with large datasets
  • Proficiency in building REST APIs for back-end services
  • Exposure to implementing, testing, debugging and deploying data pipelines using any of the following tools: Prefect, Airflow, Glue, Kafka, Serverless (Lambda, Kinesis, SQS, SNS), Fivetran, or Stitch Data/Singer
  • Experience with any of the cloud data warehousing technologies: Redshift, BigQuery, Spark, Snowflake, Presto, Athena, or S3
  • Experience with SQL DB administration (PostgreSQL, MS SQL, etc.)
  • Fluent in English to communicate effectively
  • Ability to work full-time (40 hours/week) with a 4-hour overlap with U.S. time zones

Preferred skills

  • Understanding of complex, distributed, microservice web architectures
  • Experience with Python back-end and ETL to move from one database to another
  • Solid understanding of analytics and a drive to build solutions to improve efficiency

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How to become a data engineer

The core focus of data engineering is to build dependable infrastructures that enable constant data flow in a data-driven environment. Data engineers function as facilitators of clean and raw data from multiple sources so that businesses can use it to make data-driven choices.

Data engineering is the process of developing and constructing large-scale data collection, storage, and analysis systems. Data engineers design systems that gather, handle and turn raw data into usable information for data scientists and business analysts to comprehend. The ultimate objective is to make data more available so that businesses may assess and improve their performance.

What is the scope of a data engineering job?

The demand for data-related jobs is growing by the day as more firms leverage big data to gain meaningful insights. Companies are always on the search for competent data engineers. Since the work calls for significant big data experience, the earning potential of data engineers has also increased.

What are the roles and responsibilities of data engineers?

The main responsibility is to conceptualize and build a dependable infrastructure for translating data into meaningful insights that data scientists can understand. Remote data engineers must be able to identify trends in massive datasets in addition to designing scalable processes to transform semi-structured and unstructured data into usable representations. Let's take a look at some of the other responsibilities of remote data engineer jobs.

  • Develop, construct, test, and maintain data architectures
  • Assemble complicated datasets that align with business requirements
  • Deploy sophisticated analytics programs, machine learning, and statistical methods
  • Ensure data security and governance with modern-day security controls
  • Translate complex functional and technical needs into elaborate designs
  • Implement data storage with technologies like Hadoop, NoSQL, etc.
  • Integrate data management processes into the organization’s current structure
  • Help in seamless third-party integration
  • Create high-performance and scalable web services to track data

How to become a data engineer?

Data engineers usually have a background in Computer Science and Engineering, Applied Mathematics, or a related IT profession. However, coming from a non-tech background, it is still possible to become a Data Engineer.

The Data Engineer job necessitates a high technical understanding of data structuring and storage. If you're still pursuing studies, you can opt for technical degrees like Computer Science, Data Engineering, or Machine Learning. A bachelor's degree in Computer Science or a similar subject is common among data engineers. By acquiring a degree, you can establish the foundation of knowledge in this rapidly changing sector. You can also pursue a master's degree to enhance your career and gain access to possibly higher-paying opportunities.

You'll require programming skills in a variety of languages, including Python and Java, as well as an understanding of SQL database architecture. A boot camp or certification can help design a CV for remote data engineering jobs if you already have a background in IT or a related area like mathematics or analytics.

If you don't have a background in technology or IT, you can choose the self-learning or mentorship programs. Mentorship programs are online courses available on different professional education platforms that provide guided learning courses (one on one). Self-learning is the path many choose because of the vast number of technical resources available on the Internet today, but this is unguided learning, so it may take more time/resources. Keep checking details about master's degrees in data analytics and data engineering if you have an undergraduate degree, but it isn't in a relevant discipline.

Take some time to look through job postings to discover what employers are looking for, and you'll better understand how your experience fits into that role.

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Skills required to become a data engineer

1. Hadoop and Spark

The Apache Hadoop software library is a framework that uses basic programming principles to enable the distributed processing of massive data volumes across clusters of machines. It's built to expand from a single server to thousands of devices, each with its computing and storage capabilities.

Python, Scala, Java, and R are among the programming languages supported. While Hadoop is the most powerful tool for large data, it has several limitations, including slow processing and a high level of coding.

Apache Spark is a data processing engine that allows stream processing, which involves continuous data input and output. It is similar to Hadoop in that it performs many of the same activities.

2. C++

C++ is a very basic yet powerful programming language for swiftly calculating massive datasets. It's the only language that can handle over 1GB of data in a single second. The data can be retrained and predictive analytics can be used in real-time while keeping the system of record consistent.

3. Data warehousing

A data warehouse is a relational database to query and analyze data. It's intended to provide a long-term picture of data across time. A database, on the other hand, continuously updates real-time data. Knowledge of systems like Amazon Web Services and Amazon Redshift is needed for data engineering. In fact, AWS is a prerequisite in various on-site and remote data engineer jobs.

4. Azure

Azure is a cloud platform from Microsoft that allows data engineers to create large-scale data analytics solutions. With an easy-to-deploy bundled analytics solution, it simplifies the deployment and support of servers and applications.

The package includes pre-built services for everything, from data storage to powerful machine learning. Azure is so popular that some data engineers even specialize in it.

5. SQL and NoSQL

Database management systems (DBMS) is a software application that offers an interface to databases for information storage and retrieval - required knowledge for data engineers.

The SQL programming language is the industry standard for creating and maintaining relational database systems. On the other hand, non-tabular NoSQL databases come in several shapes and sizes depending on their data models, such as a graph or a text.

6. Machine learning

Data scientists use machine learning algorithms to create various predictive models based on current and past data. Data engineers, however, only require rudimentary knowledge of machine learning to better understand the needs of data scientists (and by extension, the needs of the company), and construct more accurate data pipelines.

7. Data APIs

An API is a data access interface for software applications. It enables two apps or devices to interact with one another to complete a certain job. Web applications, for example, employ API to interact between the user-facing front-end and the back-end functionality and data.

An API allows an application to read a database, get information from relevant tables in the database, process the request, and deliver an HTTP-based response to the web template, which is then shown in the web browser. Data engineers provide APIs in databases for data scientists and business intelligence analysts to query the data.

8. Extract, Transfer, Load (ETL)

ETL (Extract, Transfer, Load) is the process of extracting data from a source, converting it into a format that can be analyzed, and storing it in a data warehouse.

The ETL collects data from a variety of sources, applies business rules to the data, and then loads the transformed data into a database or business intelligence platform where it can be accessed and utilized by everyone in the company.

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How to get remote data engineer jobs

Becoming a data engineer is highly rewarding. However, you need to have a thorough understanding of programming. Practicing programming is important, along with having a vision of the product. Good communication skills are also helpful in collaborating with team members and prioritizing work.

To simplify your search for data engineer remote jobs, Turing has made things a little easier. We offer the best opportunities to suit your career trajectory. Join a network of the world's top developers and get full-time, long-term remote data engineer jobs with better compensation and career growth prospects.

Why become a 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 their Data engineer?

Turing helps you suggest a salary range that allows you to settle for a fruitful and long-term opportunity. Most of our recommendations are an assessment of market conditions and the demand set by our clients. However, at Turing, we believe in flexibility. Thus, every Data engineer is eligible to fix their salary range as per their skills and expertise.

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.

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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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briefcase
Staff Software Engineer, AI


About the Client

Founded by engineers from  Stanford, Cisco Meraki, and Samsara, we are one of the fastest-growing Video AI companies in the U.S., transforming standard cameras into powerful AI tools that elevate safety, security, and operations for businesses nationwide. In just four years, we have processed more than 1  billion hours of video, and today ingest more daily new videos than  YouTube. Our industry-leading Video AI agents are changing physical operations and defining what video AI can accomplish for physical  operations. We are challenging and disrupting the $30 billion video surveillance market with a plug-and-play camera agnostic solution that is expanding use-cases beyond traditional security. Our approach has fueled fast adoption across 17 industries, powering nearly 1000  businesses and over 70,000 camera feeds. Our exceptionally talented team has created a high growth trajectory that has attracted almost $100 million in investment from top venture firms, including  Redpoint, Scale Venture Partners, Bessemer, StepStone and Qualcomm.



About the Role

We are looking for like-minded builders. We are an extremely passionate and ambitious team building a company designed to outlast our lifetime. No  matter the role or level, we’re looking for more teammates who share the same  high-performance mindset:

  • Relentless Drive: You have extreme ambition and something to prove. Challenges fuels you. Building isn’t just what you do; it’s who you are.
  • Builder’s Mentality: You  thrive on creating new solutions, not maintaining the status quo. If  you've founded a company, been employee number 1 - 20, or have run a  venture for over two years, we’re especially excited to meet you!
  • High Hustle, High Humility: You combine high IQ with high EQ, a low ego, and an unyielding work ethic that pushes you to be among the best at what you do.

Our cultural pillars guide how we operate. We:

  • Spend Strategically. We maximize resources and minimize waste.
  • Push for Progress. We make decisions, move fast, and celebrate action.
  • Obsess Over Customers: We remove friction and add value to create delight.
  • Trust Our Team: Respect, trust and collaboration are non-negotiable.
  • Act Like Owners: We say what we’ll do, and we do what we say, taking pride and responsibility in our work.
  • Never Stop Having Fun: We’re creating something epic, and we’re having fun doing it.


Who you are

  • You are self-motivated and accountable. You  excel with ownership and autonomy, producing high quality outcomes with  minimal direction and oversight. You have strong intuition on what's  most important to work on, and can focus on the most critical items.
  • You are a balanced visionary. You  contribute to strategy with an ability to see the big picture, while  also appreciating details with a drive to make meaningful, hands-on  contributions.
  • You are a humble expert. You  bring strong expertise and nuanced perspectives on the latest AI  technology, while staying open to new ideas and new ways of doing  things. You focus on getting it right in a team setting, rather than  being right.
  • You strive for the next level. You’re ready to stretch your impact and influence and are ready to take on larger scale challenges and/or act as a mentor.
  • You bring rich AI experience. You  have a strong background in AI, ideally with video processing  experience, however, experienced practitioners in AI can adapt as  necessary. You understand classic deep learning techniques, from YOLO to  transformer models to linear classifiers. Yet, you also have experience  with the latest AI foundation models, from embeddings to LLMs and  prompt engineering.
  • You are a creative thinker and problem solver. You  naturally think outside the box to solve new sets of customer problems,  even with few resources. You have a keen eye and technical frameworks  for setting an AI technical direction based on customer context.
  • You bring high-scale technical excellence. You  deeply understand software design, architecture, big-data processing  pipelines, and best practices on systems design + scalability, code  quality, and data/model design. You appreciate the finer details, such  as edge model optimizations, vector indexes and how they work, or how to  design a maintainable data schema. You’ve designed and led complex  systems, shaped multi-team architectures, and created frameworks that  prevent defects and improve validation across products.
  • You’re a debugging and operational excellence expert. You adopt observability tools, tackle unfamiliar codebases, and develop  resources like runbooks to prevent issues. You have an eye for  impending technical issues or optimization opportunities, and  architectural improvements that could be made to increase overall  engineering productivity.
  • You’re a technical leader. You  understand the skill and personal strengths of team members,  effectively mentoring them and placing engineers into the projects that  make them and the company successful
  • You bring 6+ years in software engineering, with significant expertise in AI plus a strong track record in high-quality system delivery.


Responsiilities

You’ll  play a critical role in advancing our capabilities, using your AI  expertise to drive innovative solutions for businesses with physical  environments—from manufacturing plants to car dealerships. Leading the  design and integration of AI-driven features, you’ll elevate both new  and existing products, focusing on scalable, real-world applications  that improve safety, operations, and efficiency. Working closely with  cross-functional teams, you’ll apply cutting-edge AI techniques to  transform video data into actionable insights that empower our clients.  By setting standards in AI reliability and performance, you’ll ensure  Spot AI’s product suite consistently delivers high-impact outcomes.



What excites you:

  • Working  on and thinking about the latest models across multiple domains, such  as Dinov2, CLIP, GPT4o/Gemini. Applying these models to real world  physical problems to enhance safety, operations, and efficiency.
  • Working  with a datastream of over 200k datapoints and embeddings a second,  wrangling this into actionable insights with fast and accurate queries.
  • Helping  to democratize and educate about the latest foundational models to  customers and team members, helping them share your vision of what AI  can do for the world.
  • Working with a global, several thousand  node distributed hybrid edge-cloud, processing millions of hours of  video a day.A place that gives you the room to learn from failure while  driving excellence.
  • Advancing our AI’s product capabilities  by applying cutting-edge AI techniques, helping transform video data  into powerful, real-world solutions for our clients.
  • Designing  and implementing AI-driven features across new and existing products,  with a focus on scalability and tangible value for diverse industries.
  • Diving  into complex challenges in video intelligence, using your expertise to  bring actionable insights to businesses in physical environments.
  • Collaborating  closely with cross-functional teams to build tools and frameworks that  set a new standard for AI performance and reliability in our industry.
  • Mentoring and guiding other engineers to foster collaboration and innovation that increase project impact.
  • A culture where hard work that drives great outcomes is expected, celebrated, and rewarded.
  • A place where you can make industry-wide impact and contribute to one of the most exciting technologies of our time

Offer Details

  • Full-time contractor (no benefits)
  • 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
PythonPyTorchTensorflow
briefcase
Senior Java Engineer – Snowflake Integration

Job Title: Senior Java Engineer – Snowflake Integration

Experience: 6–10 Years
Location: Gurugram
Work Mode: Hybrid (3 Days Work From Office)

Job Overview

We are looking for a Senior Java Engineer with strong experience in Java 17+, backend system development, and Snowflake integration, to build and maintain enterprise-grade data and transaction systems in the BFSI domain. The role involves working on high-scale, secure, and compliant platforms handling critical financial data.

Key Responsibilities

  • Design, develop, and maintain scalable backend services using Java 17+
  • Integrate Java applications with Snowflake Data Cloud for analytics and reporting use cases
  • Build and optimize data pipelines between transactional systems and Snowflake
  • Design and consume RESTful APIs for internal and external integrations
  • Ensure data security, governance, and compliance as per BFSI standards
  • Optimize application performance, scalability, and reliability
  • Collaborate with data engineering, DevOps, and product teams
  • Participate in architecture discussions and technical design reviews
  • Support production systems and perform root cause analysis when required

Mandatory Technical Skills

Core Java & Backend

  • Strong hands-on experience with Java 17 or higher
  • Deep understanding of OOP, multithreading, concurrency, and JVM internals
  • Experience with Spring / Spring Boot
  • Strong experience building RESTful microservices
  • Experience with Hibernate / JPA

Snowflake & Data Integration

  • Hands-on experience integrating applications with Snowflake
  • Strong understanding of:
    • Snowflake architecture and data storage concepts
    • Virtual warehouses, databases, schemas
  • Experience using Snowflake connectors (JDBC/ODBC) from Java
  • Knowledge of data ingestion and transformation patterns
  • Understanding of SQL optimization in Snowflake

Databases

  • Strong experience with RDBMS (PostgreSQL / Oracle / MySQL)
  • Advanced SQL skills and performance tuning
  • Experience handling large datasets and analytical queries

Cloud, DevOps & Tools

  • Experience with cloud platforms (AWS / Azure / GCP)
  • Familiarity with Docker and containerized deployments
  • Experience with CI/CD pipelines
  • Working knowledge of Linux environments
  • Experience with version control systems (Git)

BFSI Domain Experience (Mandatory)

  • Proven experience working in Banking, Financial Services, or Insurance
  • Understanding of:
    • Transaction processing systems
    • Data privacy and regulatory compliance
    • Security standards (encryption, access control, auditing)
  • Experience working on high-availability, mission-critical systems

Soft Skills

  • Strong problem-solving and analytical skills
  • Ability to work independently with minimal supervision
  • Excellent communication skills
  • Experience collaborating with cross-functional teams
  • Ownership mindset and attention to detail

Good to Have

  • Experience with event-driven architectures (Kafka / MQ)
  • Exposure to data warehousing or analytics platforms
  • Experience with Agile / Scrum environments
  • Knowledge of financial reporting or risk systems

Ideal Candidate Profile

  • 6–10 years of backend development experience
  • Strong Java 17+ expertise with enterprise application exposure
  • Hands-on Snowflake integration experience
  • Solid BFSI domain background
  • Willingness to work 3 days from Gurugram office
Finance
10K+ employees
Core JavaSpring BootOOP+ 2
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