Remote Hadoop/Kafka data engineering jobs

We, at Turing, are looking for talented remote Hadoop/Kafka data engineers who will be responsible for creating new features and components on the data platform or infrastructure, producing detailed technical work and high level architectural design. Here's the best chance to collaborate with top industry leaders while working with top Silicon Valley companies.

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Job description

Job responsibilities

  • Design and develop low-latency, highly-performance data analytics applications
  • Develop automated data pipelines to synchronize and process complex data streams
  • Collaborate with data scientists/engineers, front-end developers, and designers to create data processing and data storage components
  • Build data models for relational databases and write comprehensive integration tests to deliver high-quality products
  • Participate in loading data from several disparate datasets, assist documentation team in providing good customer documentation
  • Contribute in scoping and designing analytic data assets and implementing modeled attributes

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • 3+ years of experience in Data engineering (rare exceptions for highly skilled developers)
  • Extensive experience with big data technologies like Hadoop, Hive, Druid, etc.
  • Expertise in creating and managing big data pipelines using Kafka, Flume, Airflow etc.
  • Efficient working with Python and other data processing languages like Scala, Java etc.
  • Working experience with AWS hosted environments
  • Strong knowledge of databases including SQL, MySQL, PostgreSQL
  • Familiarity with DevOps environments and containerization with Docker, Kubernetes etc.
  • 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

  • Experience in using machine-learning systems
  • Knowledge of batch processing data and creating real-time analysis systems
  • Hands-on expertise with Golang and Scala
  • Understanding of highly distributed, scalable, and low latency systems
  • Idea of data visualization and BI tools like Power BI, Tableau, etc.
  • Experience in developing REST APIs
  • Excellent organizational and communication skills
  • Great technical, analytical and problem-solving skills

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How to become a Hadoop/Kafka data engineer?

Hadoop is an open-source software framework for storing and processing data, particularly large datasets, on clusters of commodity hardware in a distributed computing environment. It enables clusters to interpret large datasets quickly by making it easier to distribute the calculations over many computers. Hadoop has become the foundation of managing large data systems, which in turn play a crucial role in numerous Internet applications.

Software written in Java and Scala and marketed as open-source, Apache Kafka is a popular event streaming platform used by developers for data integration, analytics, high-performance data pipelines, and mission-critical applications. Companies have been hiring Kafka developers since the tool has gained immense fame in the last few years.

What is the scope of Hadoop/Kafka data engineers?

From giant companies like Netflix, LinkedIn, and Uber to car manufacturers, many of the world’s top organizations rely on Kafka for processing streaming data at a rate of trillions of events per day. The messaging platform was originally built to support a messaging queue by Apache Kafka, an open-source tool licensed under the Apache License. Today, developers are using Kafka to create real-time streaming pipelines and apps that process and analyze data as it arrives.

Hadoop provides businesses with a unique opportunity to target consumers and provide customized experiences to each of them by converting data into actionable content. Businesses that can successfully convert data into actionable content using Hadoop will be in the best position to come up with fantastic advertising, marketing, and other business strategies designed to attract customers.

It is safe to say that Hadoop/Kafka data engineers will continue to be in high demand.

What are the roles and responsibilities of a Hadoop/Kafka data engineer?

A Hadoop Developer is responsible for developing and programming Hadoop applications. These developers create applications to manage and maintain a company’s big data. They know how to build, operate, and troubleshoot large Hadoop clusters. Therefore, larger companies looking to hire Hadoop developers need to find experienced professionals who can meet the company's needs for building large-scale data storage and processing infrastructure.
Kafka developers are expected to carry out end-to-end implementation and production of various data projects along with designing, developing, and enhancing web applications and performing independent functional and technical analysis for various projects. These developers work in an agile environment where they design a strategic Multi Data Center (MDC) Kafka deployment. In addition to having expertise in various functional programming approaches, working with containers, managing container orchestrators, and deploying cloud-native applications, they should also have experience in Behavior Driven Development and Test Driven Development.
Hadoop/Kafka data engineers generally have the following job responsibilities:

  • Develop high-performance, low-latency data analytics applications
  • Automate the synchronization and processing of complex data streams using data pipelines
  • Develop data processing and data storage components in cooperation with data scientists/engineers, designers, and front-end developers
  • Design and build relational database models and integrate comprehensive tests to ensure high-quality products
  • Assist documentation team in providing good customer documentation by loading data from disparate datasets
  • Contribute to developing analytic data assets and implementing modeled attributes

How to become a Hadoop/Kafka data engineer?

When you're seeking a Hadoop/Kafka data engineer job, you'll need to consider degrees and eventually the right major. It's not easy to get a Hadoop/Kafka data engineer job with only a high school diploma. The best-positioned candidates for a Hadoop/Kafka data engineer job are those who have earned Bachelor's or Master's degrees.

To excel in your field, it is important that you gain hands-on experience and knowledge. Internships are one way for you to do this. Certification is also important for many reasons. For instance, certification distinguishes you from non-certified Hadoop/Kafka data engineers, allowing you to take pride in your accomplishments and know that you are one of the more highly skilled professionals in your field. Certification also opens up doors for better opportunities that can help you grow professionally and excel in your respective field as a a Hadoop/Kafka data engineer.

Below are some of the most important hard skills a Hadoop/Kafka data engineer needs to succeed in the workplace:

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Skills required to become a Hadoop/Kafka data engineer

Hadoop/Kafka data engineer jobs require certain skills and basics. So Hadoop/Kafka data engineers must start learning the fundamental skills that can get them high-paying Hadoop/Kafka data engineer jobs. Here is what you need to know!

1. Knowledge of Apache Kafka architecture

To understand the Apache Kafka platform, it is helpful to know about its architecture. Although it sounds complex, the architecture is actually quite straightforward. The Kafka architecture is simple and efficient and offers you the ability to send and receive messages in your applications. This combination of efficiency and usability makes Apache Kafka highly desirable.

2. Kafka APIs

In addition to other recommended skills, a Hadoop/Kafka data engineer must be versed in four Java APIs: the producer API, consumer API, streams API, and connector API. These APIs make Kafka a fully customizable platform for stream processing applications. The streams API offers high-level functionality that allows you to process data streams; using the connectors API allows you to build reusable data import and export connectors.

3. Basics of Hadoop

Becoming prepared for a Hadoop/Kafka data engineer remote job requires a thorough understanding of the technology. A fundamental grasp of Hadoop's capabilities and uses, as well as its benefits and drawbacks, is essential to learn more sophisticated technologies. To learn more about a specific area, refer to resources available to you both online and offline. These can be tutorials, journals and research papers, seminars, and so on.

4. SQL

You will need a solid understanding of Structured Query Language (SQL) to be a Hadoop/Kafka data engineer. Working with other query languages, like HiveQL, will significantly benefit you if you have a strong understanding of SQL. You can further improve your skills by brushing up on database principles, distributed systems, and similar topics in order to broaden your horizons.

5. Hadoop components

After you have learned about the Hadoop principles and what technical abilities are required to work with it, it is time to move on and find out more about the Hadoop ecosystem as a whole. There are four main components of the Hadoop ecosystem.

  • Hadoop distributed file system
  • Map-reduce
  • Yet another resource negotiator
  • Hadoop common

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How to get remote Hadoop/Kafka data engineer jobs?

Hadoop/Kafka data engineer developers, like athletes, must practice effectively and consistently in order to excel at their craft. As their skills improve, they must also work hard enough to maintain those skills over time. To ensure progress in this area, developers need to follow two key factors: the assistance of someone more experienced and effective in practice techniques while you're practicing. As a Hadoop/Kafka data engineer, you need to know how much to practice and watch out for burnout signs by having someone keep an eye on you!

Turing offers the best remote Hadoop/Kafka data engineers that suit your career trajectories as a Hadoop/Kafka data engineer. Take on challenging technical and business problems on the latest technologies and grow quickly. Join a network of the world's best developers & get full-time, long-term remote Hadoop/Kafka data engineer jobs with better compensation and career growth.

Why become a Hadoop/Kafka data engineer at Turing?

Elite US jobs

Long-term opportunities to work for amazing, mission-driven US 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 US firms from the comfort of your home.

Great compensation

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

How much does Turing pay their Hadoop/Kafka data engineers?

Turing allows its Hadoop/Kafka data engineers to set their own rates. Turing will recommend a salary at which we are confident we can find you a long-term job opportunity. Our recommendations are based on our analysis of market conditions, as well as the demand from our customers.

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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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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