Remote data platform engineer jobs

We, at Turing, are looking for highly-skilled remote data platform engineers who will be participating in architecture and implementation of cloud-native data pipelines and infrastructure to enable analytics and machine learning on rich datasets. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Build scalable data architecture, including data extractions and data transformation
  • Build cost-effective and strategic solutions by developing a clear understanding of data platform cost
  • Design and build data products and data flows for the continued expansion of the data platform
  • Write high-performant, well-styled, validated, and documented code
  • Participate in data cleansing and data quality initiatives
  • Build automated data engineering pipelines

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience in data engineering (rare exceptions for highly skilled developers)
  • Experience of developing real-time data streaming pipelines using Change Data Capture (CDC), Kafka and Streamsets/NiFi/Flume/Flink
  • Proficient with big data technologies like Hadoop, Hive, etc.
  • Experience with Change Data Capture tooling such as IBM Infosphere, Oracle Golden Gate, Attunity, Debezium
  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modeling and data wrangling
  • Expertise in Unix and DevOps automation tools like Terraform and Puppet and experience in deploying applications to at least one of the major public cloud provider such AWS, GCP or Azure
  • Extensive experience using RDMS and one of the NoSQL databases such as MongoDB, ETL pipelines, Python, Java APIs using spring boot and writing complex SQLs
  • Strong Python, Java and other backend development skills
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Basic understanding of data systems or data pipelines
  • Knowledge of moving trained ML models into production data pipelines
  • A good understanding of cloud warehouse such as Snowflake
  • Grasp on modern code development practices
  • Experience with core AWS services and concepts (S3, IAM, autoscaling groups)
  • Basic DevOps knowledge
  • Knowledge of relational database modeling concepts and SQL skills
  • Strong analytical, consultative, and communication skills

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How to become a Data platform engineer ?

Data platform engineering is a broad topic that encompasses a range of titles, with a primary focus on constructing trustworthy infrastructures that allow for continuous data flow in a data-driven environment. These individuals serve as facilitators of clean and raw data from a variety of sources, allowing employees to use it to make data-driven decisions inside the firm.

The process of designing and building large-scale data collecting, storage, and analysis systems is known as Data platform engineering. It's a broad field with applications in nearly every industry. Organizations may collect massive amounts of data, but they need the right people and technology to ensure that the data reaches data scientists and analysts in usable form.

Data platform engineers create systems that collect, process and transform raw data into information that data scientists and business analysts can understand in a variety of situations. The ultimate goal is to make data more accessible to enterprises so they can evaluate and improve their performance.

What is the scope of Data platform engineering?

One of the most in-demand jobs in the industry is that of a remote Data platform engineer. Businesses regard them highly in all sectors, and they are handsomely paid for their work.

As more companies get on the Big Data bandwagon and mine data for relevant insights, the demand for data-related jobs is rising by the day. Engineers who work with data aren't exempt from this rule. Companies are constantly on the lookout for qualified Data platform engineers that can deal with large volumes of complex data to provide relevant business insights. Data platform engineers' income potential has also improved as a result of the work requiring a high level of Big Data experience and ability.

What are the roles and responsibilities of Data platform engineers?

The major role of a Data platform engineer is to develop and create a reliable infrastructure for converting data into forms that Data Scientists can interpret. In addition to building scalable algorithms to turn semi-structured and unstructured data into useful representations, remote Data platform engineers must be able to recognize trends in large datasets. Raw data is prepared and transformed by Data platform engineers so that it may be used for analytical or operational reasons. Let's look at the duties of remote Data platform engineer jobs now:

  • Create a scalable data architecture that includes data extraction and manipulation.
  • Build a thorough grasp of data platform costs to develop cost-effective and strategic solutions.
  • Create data products and data flows to support the data platform's continuing growth.
  • Participate in data cleansing and data quality projects - Build automated Data platform engineering pipelines
  • Write high-performance, well-styled, validated, and documented code
  • Translate intricate designs into complicated functional and technological requirements.
  • Hadoop, NoSQL, and other technologies are used to store data.
  • Create models and uncover hidden data patterns
  • Data management techniques must be integrated into the organization's present structure.
  • Assist development of a sound infrastructure with third-party integration.
  • To track data, create high-performance and scalable web services.

How to become a Data platform engineer?

With the right combination of skills and experience, you may start or advance your career in Data platform engineering. Data platform engineers often have a bachelor's degree in computer science or a related field. A degree can help you build a solid foundation of knowledge in this continuously changing field. A master's degree can also help you advance your career and open doors to higher-paying positions.

Data platform engineers are often educated in computer science, engineering, applied mathematics, or a related IT field. Because the work requires a high degree of technical knowledge, prospective Data platform engineers may find that a boot camp or certification is insufficient.

You'll need knowledge of SQL database design and programming abilities in a range of languages, including Python and Java. If you already have a background in IT or a related field like mathematics or analytics, a boot camp or certification might help you create a CV for remote Data platform engineering jobs.

If you don't have any prior experience with technology or IT, you may need to participate in a more intense program to demonstrate your understanding. If you don't already have one, you may need to enroll in an undergraduate program. If you have an undergraduate degree but it isn't in a relevant field, keep looking at master's degrees in data analytics and Data platform engineering.

You'll have a better sense of how your expertise fits into that function if you spend some time going through job advertisements to see what companies are searching for.

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Skills required to become a Data platform engineer

1. Hadoop and Spark

The Apache Hadoop software library is a platform that enables the distributed processing of enormous data volumes across clusters of devices using fundamental programming principles. It's designed to scale from a single server to tens of thousands of devices, each with its own processing and storage capabilities. The framework supports a number of programming languages, including Python, Scala, Java, and R. While Hadoop is the most powerful tool for massive data, it does have certain drawbacks, such as delayed processing and a high degree of coding. Apache Spark is a data processing engine that supports stream processing, or data input and output in real-time. It's a lot like Hadoop in that it does a lot of the same things.

2. C++

C++ is a relatively basic yet powerful programming language for quickly computing big data sets when you don't have a preset algorithm. It's the only programming language capable of processing more than 1GB of data in a single second. You may also apply real-time predictive analytics to retrain the data while keeping the system of record constant.

3. Data Warehousing

A data warehouse is a relational database that can be queried and analyzed to find information. Its purpose is to provide you with a long-term perspective of data through time. A database, on the other hand, refreshes real-time data on a regular basis. Data platform engineers must be familiar with the most prominent data warehousing solutions, such as Amazon Web Services and Amazon Redshift. AWS is a necessity for practically all remote Data platform engineer jobs.

4. Azure

Azure is a Microsoft cloud platform that enables Data platform engineers to build large-scale data analytics applications. It has an easy-to-deploy integrated analytics solution that makes supporting applications and servers quite systematic.The bundle includes pre-built services for everything from data storage to advanced machine learning. Because Azure is so popular, some Data platform engineers have chosen to specialize in it.

5. SQL and NoSQL

For designing and managing relational database systems, the SQL programming language is the industry standard (tables that consist of rows and columns). Depending on their data types, such as a graph or a text, non-tabular NoSQL databases come in a variety of forms and sizes. Data platform engineers must be familiar with database management systems (DBMS), which is a software program that provides an interface to databases for information storage and retrieval.

6. ETL (Extract, Transfer, Load)

The process of taking data from a source, turning it into a format that can be examined, and storing it in a data warehouse is known as ETL (Extract, Transfer, Load). This approach uses batch processing to aid users in assessing data relevant to a specific business situation. The ETL gathers data from various sources, applies business rules to it, and then puts the transformed data into a database or business intelligence platform where it can be accessed and used by everyone in the organization.

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How to get remote Data platform engineer jobs?

Working as a programmer may be quite satisfying. However, a solid grasp of programming languages is required. It is suggested that you practice until you achieve perfection. Furthermore, having a product vision is necessary for being in sync with the team. Collaboration with team members and work prioritization according to the long-term goal is aided by good communication skills.

Turing has made things a bit easier for you in your hunt for remote Data platform engineering jobs. Turing has the greatest remote Data platform engineer jobs that can help you advance in your career as a Data platform engineer. Get full-time, long-term remote Data platform engineer jobs with greater income and career progression by joining a network of the world's greatest developers.

Why become a Data platform 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 Data platform engineer?

Turing can assist you in recommending a salary range that will allow you to settle on a lucrative and long-term position. The majority of our recommendations are based on market circumstances and our clients' needs. Because Turing believes in providing the best suitable opportunities to people. As a result, each Data platform engineer is free to choose their own price range based on their talents and experience.

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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