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Vetted Azure Data Engineer developer in the United States (UTC+9)
I am a Data Engineer Professional with experience in designing and deploying enterprise-grade solutions, integrating e-commerce components, developing AI/ML models, optimizing ETL pipelines, and collaborating with data scientists. I have experience working with LLMs and RAG, and would love to help solve your business needs.
Vetted Azure Data Engineer 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 Engineer developer in the United States (UTC-6)
I have 20+ years in the technology industry and have serviced the financial, government, insurance, healthcare, energy, startup/technology, and retail sectors ranging from data architecture, software engineering, R&D, DevOps, management, strategic consulting, patented applications, and high-value revenue-generating applications & architecture. I hold patents in secured distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. I hold patents in secure distributed messaging architecture, contribute to numerous open-source projects, and have conducted pioneering research in resilient cloud architectures based on fault-tolerant rough-set grammars. ● High-Performance Computing (HPC) ● Microservices Architecture ● Multi-Agent Distributed Computation ● Highly scalable Service Oriented Architectures (SOA) ● Predictive Big Data Analytics ● Consensus Algorithm Design ● High-Value Research & Development ● Cloud Architecture and Implementation ● DevOps and Security Penetration Testing ● System Virtualization and Containerization ● Data Center Relocations ● Security Audits ● Server Performance Management ● Capacity and Deployment Planning ● Management ● Storage Management ● Network Infrastructure Design and Implementation
Vetted Azure Data Engineer developer in the United States (UTC-4)
- Strong knowledge of IT systems, with over 18 years of experience implementing strategic / mission critical programs and solutions - Strong Systems Integration, Application Development, Master Data Management, Data Warehousing and Analytics, ETL, EDI and EAI experience - Strong IT architecture, data modelling, data management and governance, IT Infrastructure knowledge - Strong project and program management experience - Strong knowledge of various AWS services and snowflake cloud database - Strong pre-sales and consulting experience in the data integration space with Informatica - Experience setting up Integration Centers of Excellence ground up - Great coach, willing mentor and a leader that cultivates high performance work environments - Strong knowledge and experience of SDLC including Waterfall, Agile and Kanban models - Architected solution implementations and solution patterns in healthcare, CRM and financial domains - Knowledge of back office core banking systems and related functional areas - Tools and Languages: Informatica PowerCenter 9.5, B2B DT/DX 9.5, IICS, Snaplogic, PySpark, MDM, MS DTS, SQL, Python, Java, JSP, JavaScript, C, Visual Basic, MS Office, Erwin, Tableau, Cognos - Databases: RDS, Snowflake, Redshift, NoSQL, Oracle 10/11, SQL Server 2008, MS Access 2003, DB2 8.1 - AWS Services: Glue, Step Functions, Lambdas, RDS, Data Pipeline, Batch, SQS, SNS, Athena
Vetted Azure Data Engineer developer in the United States (UTC-5)
Hey! Looking for a new gig. Python, backend, data, data science or data story telling, management is also interesting to me. Love mental health tech, and other interesting verticals.
Vetted Azure Data Engineer developer in the United Kingdom
I am a software developer with over 12 years of experience, working mostly as Java/Scala back-end, distributed systems engineer. I graduated from Imperial College London in 2012 with First Class honours in Computing. During my studies I acquired an in-depth understanding of Object-Oriented programming, Data Structures, Algorithms and Software Design. For the past 12 years I have worked in the Investment Banking industry atMorgan Stanley as a back-end Java developer developing distributed, highly-scalable systems. I possess an in-depth knowledge of Java programming language and my expertise includes: * Software systems and architecture design * SiteReliability Engineering - building scalable, highly available systems * Multi-threading/concurrency * Performance optimisation * Cloud migration/deployments I have also been recently involved in training of AI models. As part of that role I am responsible for evaluating AI-generated responses to coding/reasoning questions, as well as generating and rating coding conversations with chat-bots in a classroom teaching style.
Vetted Azure Data Engineer developer in the Netherlands (UTC+1)
Over 10 years of experience as a data scientist and data analyst. Worked in multiple domains (medical, pharma, finance, telecom). Lead a team of 10 junior data scientists for 5 years. Keen interest in generative AI, LLMs, deep learning, anomaly detection, NLP, Power BI and Spark.
Vetted Azure Data Engineer developer in Germany (UTC+2)
I am an experienced DevOps Engineer with expertise in automation, optimization of business processes, and implementation of DevOps processes. I have worked on cloud infrastructure, containerization, and infrastructure as code. Additionally, I have experience as a Data Scientist and Software Engineer, developing machine learning models and automation solutions. I have strong skills in Python, Kubernetes and Docker,
Vetted Azure Data Engineer 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 Engineer developer in Czech Republic (UTC+2)
Senior Software Engineer with 7+ years of experience delivering tech solutions. Proficient with building global scale products and leading the teams/projects. Experienced with multiple technology stacks / cloud environments. Focused to deliver high quality results, improve development and communication processes. ⛷️
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Get startedIn 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 Engineer 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 Engineer developers can help keep your website up-to-date.
To hire an Azure Data Engineer 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 Engineer developers effectively and efficiently. Hire full-time Azure Data Engineer 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 Engineer 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 Engineer 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 Engineer developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Azure Data Engineer 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 Engineer 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 Engineer developers, consider niche platforms like Arc that naturally attract and carefully vet their Azure Data Engineer developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Azure Data Engineer developers.
Some factors to consider when you hire Azure Data Engineer 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 Engineer developers for hire.
Writing a good Azure Data Engineer developer job description is crucial in helping you hire Azure Data Engineer 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 Engineer 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 Engineer developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Azure Data Engineer developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software 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 Engineer 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 Engineer developers to keep up with evolving technology and requirements.
You can find a variety of Azure Data Engineer 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 Engineer developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Azure Data Engineer 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 software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Azure Data Engineer 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 Engineer 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 Engineer developers.
Every Azure Data Engineer 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 Engineer 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 Engineer 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 Engineer 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 Engineer developers, you can rest assured that all remote Azure Data Engineer 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 Engineer developers before we present them to you. As such, all the remote Azure Data Engineer 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 Engineer developer in 72 hours, or find a full-time Azure Data Engineer 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 Engineer developers.
Depending on the freelance developer job board you use, freelance remote Azure Data Engineer developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Azure Data Engineer 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 Engineer 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 software 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 Engineer 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 Engineer developers, check out our FAQs page.