Remote BI/data engineer jobs

We, at Turing, are looking for highly-skilled remote BI/data engineers who will be responsible for creating queries and optimizing the performance of the entire data ecosystem to ensure all infrastructures work smoothly. 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

  • Assist with the design, development, and implementation of data architecture of BI platforms
  • Assess client’s current BI model and offer suggestions for enhanced performance, data handling, and more efficient development process
  • Lead developers to integrate new data quality components within the client’s platform
  • Develop and support detailed dimensional data models and multi-dimensional databases
  • Assist in data extraction from the source system into the data warehouse staging area
  • Ensure data validation, data accuracy, data type conversion, and business rule application
  • Prepare documentation of the ongoing maintenance and operations for future reference
  • Design, develop, refactor, and support web service to consume stored data

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science, Mathematics, Statistics (or equivalent experience)
  • At least 3+ years of hands-on experience as a data engineer (rare exceptions for highly skilled developers)
  • Excellent knowledge and expertise in SQL and Python
  • Experience with Microsoft SQL Server, SSIS, SSAS, SSRS, PPS, including knowledge of customer systems
  • Proficient with developing and calling web service APIs
  • Knowledge of Microsoft Visual Studio and Team Foundation Server
  • Expertise in collecting and analyzing data requirements
  • Knowledge of integrating data quality tools, like Experian, Trillium, Informatica, etc.
  • Experience working with multi-dimensional (OLAP) databases
  • Clear idea about database administration concepts, principles, and data management
  • Experience working with ETL tools for data extraction, cleansing, optimization, and loading
  • 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

  • Grasp of Data Lake and Cloud Data Warehousing platforms
  • Working experience with Amazon Web Services
  • Experience working in Agile environments
  • Excellent organizational and interpersonal skills

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How to become a BI/Data engineer?

A business's raw data can take many forms, such as marketing numbers, human resources information, budgets, or sales volumes. Business owners may be aware of this information, but they don't really see the value in it unless someone extracts it and displays it in an easy-to-understand format. Business intelligence (BI) is a set of technologies and practices that brings together all of these different types of data and extracts value from them.

Modern systems generate data using different applications. These applications contain different databases with varied information, for instance, enterprise resource planning (ERP), customer relationship management (CRM), production systems, etc. With the company's growth, the number of applications rises, creating a variety of data sources. A significant amount of data is scattered all over in various formats across the company. This hampers analysis and visualization of the correct business state. Data engineers help extract meaningful information from this raw data.

The demand for BI and Data engineer jobs has skyrocketed as the need for data increased everywhere. Here is how you can pursue a career as a BI/Data engineer.

What is the scope of BI/Data engineering?

Business intelligence plays an important role in data collection, including interrogation, reporting, and answering questions about what happened in the past. Many businesspeople underestimate the power of business intelligence and think that business analytics will answer all their questions. In fact, business intelligence has a very important role to play in data collection, and it can answer many past questions as well.

The demand for data-related employment has grown dramatically in recent years, and this growth will continue as more firms embrace Big Data. Data engineers occupy a vital role in the data analysis process, transforming raw data into actionable business insights.

BI/Data engineers are highly skilled and command high salaries, because of their expertise in handling complex datasets and extracting useful information from them.

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

Data engineers are responsible for conceptualizing and building a dependable infrastructure for translating data into forms that data scientists can understand. They must be able to identify trends in massive datasets and design scalable processes to transform semi-structured and unstructured data into usable representations. They essentially prepare and transform raw data so that it may be used for analytical or operational purposes.
The job of a Business Intelligence Developer is to collaborate with end customers to create reporting systems that deliver easy-to-understand data for decision-making. By analyzing warehouse data, the BI Developer leverages business intelligence to solve organizational challenges. The Business Intelligence Developer is a member of an organization's analytics team who focuses on data design, access, utilization, security, and quality of information assets across the company.
A typical workday of BI/Data engineer consists of:

  • Work on the design, development, and implementation of BI platforms' data architectures
  • Offer suggestions to enhance the client's current BI model's performance, data handling, and development process efficiency
  • Managed the integration of new data quality components in the client's platform
  • Build and maintain detailed dimensional data models and multidimensional databases
  • Provide assistance in extracting data from the source system and entering it into the data warehouse staging area
  • Validate data, ensure data accuracy, and ensure that business rules are applied to data
  • Keep a record of ongoing maintenance and operations for future reference
  • Design, build, refactor, and maintain web services to consume stored data

How to become a BI/Data engineer?

With the right combination of skills and expertise, you can launch or advance your career in BI/data engineering. BI/Data engineers typically hold a bachelor's degree in computer science or a related field. A degree can help you build a solid foundation of knowledge in this rapidly changing industry. A master's degree can also help you advance your career and gain access to potentially higher-paying opportunities.

BI/Data engineers typically hold a bachelor's degree in computer science, engineering, applied mathematics, or a related IT field. Prospective BI/data engineers may discover that a boot camp or certification will not be enough to compete because the job requires a high level of technical understanding.

Network with other BI/Data engineers and analysts to learn more about the position and what you'll need to succeed. Developing relationships with other experts in this field can also help you obtain useful references for job applications. You can expand your network by engaging with experts within your current firm or attending networking events.

Now, let's look at the skills and methods you'll need to master in order to become a successful BI/Data engineer:

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Skills required to become a BI/Data engineer

The first step is to learn the fundamental skills that will enable you to land a high-paying job as a BI/Data engineer. Let's go over what you should be aware of.

1. BI platform

Companies use business intelligence software to collect information from internal and external sources. When interviewing, you can expect to be asked to evaluate the platform the company uses, whether that's Oracle, Microsoft, Tableau, or MicroStrategy. It's important to have a general understanding of the platform's features and any new features included in the latest version. You should also have a solid grasp of the technical architecture and how it compares to other BI platforms on the market.

2. Hadoop and Spark

HTML and CSS are a great fit for a text-only website, as they are predominantly static. JavaScript is also a valuable addition to responsive websites. It gives you the option of adding interactive features to your sites, such as polls, slideshows, and forms that automatically detect touchscreen users’ clicks. This client-side programming language lets you add dynamic features, including but not limited to page animation, scrolling, audio, and video, to your website.

3. C++

Among programming languages, the C++ language is deemed to be among the most effective for handling huge volumes of data. It can perform data calculations at a speed of 1 gigabyte per second. This makes it possible for C++ to perform predictive analytics in real-time while maintaining the integrity of the system of record.

4. Data modeling

Because you work as a Business Intelligence Developer, you need to first set up the environment on the BI Platform. This is necessary to enable reporting and data analysis. You will need to communicate with your colleagues in order to comprehend corporate operations and how data moves through the organization. Great SQL skills are required to be able to alter and retrieve data. Finally, you need to understand the organization's BI Platform so that you can build the environment using the platform's specific capabilities.

5. Azure

Azure is a cloud platform from Microsoft that makes the deployment, management, and support of servers and applications easier. With an easy-to-deploy bundled analytics solution, Azure simplifies the deployment and support of servers and applications. Pre-built services for everything from data storage to powerful machine learning are included in the package. It is important for BI/Data engineers to specialize in Azure.

6. Data APIs

An API (application programming interface) enables front-end and back-end applications to interact with each other to complete a specific job. For example, web applications use an API to interact between the user interface 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. For data scientists and business intelligence analysts to query the data, data engineers provide APIs in databases.

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How to get remote BI/Data engineer jobs?

You must devise a successful job-search strategy while gaining as much practical experience as possible. Think about what you're looking for and how you'll use that knowledge to narrow your options before you start looking for work. It's all about getting your hands dirty and putting your skills to use when it comes to demonstrating to employers that you're job-ready. As a result, it is critical to continue to learn and improve. You'll have more to talk about in an interview if you work on a lot of open-source, volunteer, or freelance projects.

Turing provides the best remote BI/Data engineer jobs that will fit your career goals as a BI/Data engineer. Grow exponentially by working on difficult technical and business problems using cutting-edge technology. Join a network of the world's best developers to find full-time, long-term remote BI/Data engineer jobs with better pay and opportunities for advancement.

Why become a BI/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 BI/Data engineers?

At Turing, every BI/Data engineer is allowed to set their rate. Our goal at Turing is to provide you with a salary at which we know we will be able to find a sustainable and long-term opportunity for you. It is based on our assessment of market conditions and the demand we see from our customers that we make recommendations.

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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