Your trusted source for top remote Azure data engineering developers, including expert programmers, engineers, freelancers, and consultants — Perfect for startups and enterprises.
Freelance contractors Full-time roles Global teams
Vetted Azure data engineering developer in the United Kingdom
Senior DevOps, DevSecOps, and Enterprise Architect with over 10 years in Architecting and Impementing Highly Performant, Highly Scalable and Highly Secure Systems that conform to Industry Best Practices. I have had the privilege of serving in the Health, Finance, Insurance, Manufacturing, Educational and Power sectors. I have also had hands on experience in designing and implementing Zero Trust Infrastructure, ISO 27001 and SOC II Compliant Architcture and Processes. I take pride in mentoring the younger generation and I have many success stories. I am very compatible with working within GMT -8 to GMT +3 timezones with 6 to 8 hour overlaps. Skills and Technology: C#, Python, Node.js, .Net Core, [ASP.Net](http://asp.net/) MVC, Worker Services, Django, Express.js, Microservices, Docker, APIs, Git, Jenkins, Octopus, CircleCI, Kubernetes, MongoDb, SQL Server, Elasticsearch, Redis, Service Bus, RabbitMQ, MySQL, PostgresDB, AWS, GCP, Azure, Agile, NoSQL, TDD, DevOps, DevSecOps, CICD, Biometrics, Team Management, System Admin, Mentor, ClickUp, JIRA, Terraform
Vetted Azure data engineering developer in Canada (UTC-7)
Results-driven Senior MLOps/DevOps Engineer with extensive experience in designing and scaling cloud infrastructures to support machine learning models. Achieved a 50% reduction in time-to-market through the integration of advanced MLOps practices and automation. Expert in Terraform, SageMaker, TensorFlow, Airflow, Kubeflow, and Kubernetes, driving efficiency across the ML lifecycle, from data ingestion and processing to model deployment. Optimized big data pipelines, improving system efficiency by 40%, while ensuring 99.999% uptime. Proven track record in enhancing deployment reliability by 60% through the implementation of CI/CD pipelines and monitoring systems. Skilled in collaborating with cross- functional teams to deliver impactful, business-driven solutions.
Vetted Azure data engineering developer in Turkey (UTC+2)
Having worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.
Vetted Azure data engineering developer in the United Kingdom
15+ years’ experience as Azure Data Architect, SQL Server Consultant, Data Engineer, & Database Developer across a wide range of sectors including Startups, Financial Services & Investment Banking, Healthcare, Insurance and Retail.
Vetted Azure data engineering developer in Portugal
As a Data Engineer with expertise in Python, SQL, Streaming, Data Modelling, and big data technologies, I specialize in building scalable and real-time data pipelines and data products, transforming complex data into clear, actionable insights. My proficiency extends to deploying machine learning models and creating RAG pipelines to leverage LLM capabilities, empowering businesses with data-driven decision-making tools to foster growth and efficiency.
Vetted Azure data engineering developer in Mexico (UTC-4)
Innovative and results-oriented Full Stack Developer with over 7 years of experience in leading development teams and designing scalable web applications. Expert in a diverse range of technologies including JavaScript, React, and Node.js, with a strong focus on enhancing user experience and system performance through modern development practices. Proven ability to mentor junior developers, manage project lifecycles, and implement CI/CD pipelines, effectively bridging the gap between technical and non-technical stakeholders. Fluent in English and Spanish, facilitating cross cultural collaboration.
Vetted Azure data engineering developer in the United States (UTC-5)
I have extensive experience in datastores and data pipelines; nearly 15 yr of work that included such. I also have worked on bigdata systems, where we ingested, minimally, more than 200 GB per day. I also have extensive experience in data, including personalization and financial data warehousing. These kinds of targeting systems designs can become a revenue engine for many kinds of business models. My AI work to date as dealt with data prep, cleaning, structuring and segmenting/classifying, with prediction, recommendation, pricing, and retraining. Applications included lead source QC, price/value prediction, and matching. Other applications included regression modeling for attentional measures and content. Other platform services included feature extraction (structuring) and data rollups with lineage. I’ve done this with financial accounts at MyBankTracker, where I built engines for pricing and personalization, as well as our own CDP / CIP, ad network and fingerprinting/unmasking platform. This was done with student loans, with Barker and LendKey. I expanded to brokerage and other instruments at Investopedia - where I drove the data architecture of an immersive personal-narrative experience. I also developed large data warehousing and CDP modeling at Even Financial. Triple Point Liquidity involved such data in the form of KYC, and was transited via blockchain, compiling indexing time-series in private equity. Suvie is an IoT company with personalization and e-commerce, consolidating a data warehouse that draws in realtime from more than 12 primary sources.
Vetted Azure data engineering developer in Finland (UTC+2)
Azure Cloud Consultant with 6+ years of experience designing and building data warehousing solutions. 2 year experience building AI solutions. Recent project experience: •2023-2024 Multinational industrial company (>1B € revenue): AI sentiment analysis and classification of all text-based customer feedback (architecture and implementation) Architecture and implementation of AI chat assistant for customer feedback RAG • 2024 Multinational logistics company (>1B € revenue): Architecture and implementation of organization-wide AI chat assistant Architecture of AI assistant for processing service requests AI tool and development training Multimodal: 2023: Proof-of-concept AI vision model for assessing retail store shelf status and layout 2024: AI-generated voice-cloned news narration for major Finnish news outlet
Vetted Azure data engineering developer in the United States (UTC-4)
Tech director with 10+ years experience in engineering and data, 6 of those managing technical personnel. Experienced Data Scientist with a demonstrated history of working in scientific research and politics.
Vetted Azure data engineering developer in the United Kingdom
**I strive my best to provide excellent customer service and will issue a full refund if I am not able to resolve your issue.** 13 years of information management experience in design, development, and optimization of data solutions using MS BI Stack, MS Azure Data Stack and Power BI, spanning across data processing (ETL) of large datasets and building dashboards and reports for data warehousing consultancy projects for clients across Australia, US, Canada, and Europe. **Technologies:** * Azure PaaS Data Stack - Azure SQL DB, Synapse Analytics, Data Factory with DevOps, Blob/Data Lake Storage, Azure Analysis Services * Power Platform - Power BI, Power Automate * ETL - MS BI Stack (SSIS/SSAS) * Databases - MS SQL Server, Oracle, MySQL **Certifications:** * Databricks Certified Data Engineer Associate * Microsoft Certified Azure Enterprise Data Analyst Associate (Power BI and Azure Synapse Analytics) * Microsoft Certified Data Analyst Associate (Power BI) * Microsoft Certified Azure Solutions Architect Expert * Microsoft Certified Azure Data Engineer Associate * Microsoft Certified Azure Data/AI/Power Platform Fundamentals * 70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012/14 * Microsoft Certified Professional * 5 days training of Kalido Data Warehouse from Kalido Inc.
Meet freelance Azure data engineering developers who are fully vetted for domain expertise and English fluency.
Stop reviewing 100s of resumes. View Azure data engineering developers instantly with HireAI.
Get access to 450,000 talent in 190 countries, saving up to 58% vs traditional hiring.
Feel confident hiring Azure data engineering developers with hands-on help from our team of expert recruiters.
Share with us your goals, budget, job details, and location preferences.
Connect directly with your best matches, fully vetted and highly responsive.
Decide who to hire, and we'll take care of the rest. Enjoy peace of mind with secure freelancer payments and compliant global hires via trusted EOR partners.
Ready to hire your ideal Azure data engineering developers?
Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Azure data engineering developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire an Azure data engineering developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Azure data engineering developers can help keep your website up-to-date.
To hire an Azure data engineering developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Azure data engineering developers effectively and efficiently. Hire full-time Azure data engineering developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Azure data engineering developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Azure data engineering developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Azure data engineering developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure data engineering developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Azure data engineering developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Azure data engineering developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure data engineering developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure data engineering developers.
Some factors to consider when you hire Azure data engineering developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Azure data engineering developers for hire.
Writing a good Azure data engineering developer job description is crucial in helping you hire Azure data engineering developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Azure data engineering developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Azure data engineering developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Azure data engineering developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Azure data engineering developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Azure data engineering developers to keep up with evolving technology and requirements.
You can find a variety of Azure data engineering developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Azure data engineering developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure data engineering developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Azure data engineering developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Azure data engineering developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Azure data engineering developers.
Every Azure data engineering developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Azure data engineering developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Azure data engineering developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Azure data engineering developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Azure data engineering developers, you can rest assured that all remote Azure data engineering developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Azure data engineering developers before we present them to you. As such, all the remote Azure data engineering developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Azure data engineering developer in 72 hours, or find a full-time Azure data engineering developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Azure data engineering developers.
Depending on the freelance developer job board you use, freelance remote Azure data engineering developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure data engineering developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Azure data engineering developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Azure data engineering developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Azure data engineering developers, check out our FAQs page.