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1,609 Remote Spark optimization developers and experts available to hire:

Spark optimization engineer - Sidhdharth P.
Sidhdharth P.

Spark optimization developer in the United States (UTC-4)

Software Engineer with Around 4 years of experience specializing in Java and JavaScript development. Expert in building scalable front-end and back-end solutions utilizing React.js, Angular.js, and Spring Boot. Proven ability to enhance business operations through the effective implementation of relational and NoSQL databases, emphasizing data integrity and performance. Proficient with DevOps tools including Git, Jenkins, Docker, and Kubernetes, ensuring high-quality deployments and optimal CI/CD processes. Strong advocate for Agile methodologies, driving rapid project delivery and fostering team collaboration. Demonstrated success in deploying applications on AWS within Linux, Unix, and Windows environments, aimed at maximizing efficiency and scalability. Dedicated to integrating advanced cloud solutions and modern development practices to deliver impactful software innovations.

Spark optimization developer - simon H.
simon H.

Spark optimization developer in the United States (UTC-7)

As a Lead developer and big data architect, my expertise with technologies such as Python, Java, Spark/pyspark, Kafka, AWS, Azure, Hadoop, Spring Boot, AngularJS, Node.js, Django, Flask and FastAPI has enabled me to make impactful contributions across multiple domains including software development, ETL processes, microservices architecture, REST APIs, Business Process Automation, Large Language Model (LLM) projects , web applications and frameworks. Experience in working on Adobe Experience platform. Solution architecting scalable process for Adobe experience Manager and Adobe workfront. Vast experience in AWS services like AWS CloudFormation, AWS building application services using Kubernetes, CI/CD, Jenkins, API gateways, networking configuration, AWS Lambda, PostgresSQL, AWS building centralized data governance and storage solutions, AWS Glue Catalog, Amazon Athena and EMR to run pyspark & databricks jobs. Expertise with building application for asynchronous interservice communication, Data Processing services (event streaming) and data enrichment (as a service), I have a strong inclination towards creating high-quality software applications. I am a devoted adherent of best practices, innovation, and maintaining a positive attitude. I possess the capability to work independently as well as being a valuable team player.

Spark optimization developer - Vinod K.
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Vinod K.

Vetted Spark optimization developer in India (UTC+6)

Experienced Software Development Engineer with strong expertise in backend system architecture design for distributed systems. Good understanding and exposure to multiple architectural design patterns for designing scalable performant systems. Hands on experience with multiple AWS cloud services. Experienced Big Data Engineer for architecting and designing ETL pipelines for processing large data and delivering valuable insights. Optimizing Spark jobs for faster processing. Strong knowledge and hands on with Microservices with Dockers and Kubernetes.

Spark optimization developer - Alik D.
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Alik D.

Vetted Spark optimization developer in Georgia (UTC+4)

Experienced Data Engineer with 5+ years in Big Data and cloud solutions, proficient in Python and Scala. Skilled in designing and managing complex databases, including MongoDB, PostgreSQL, Oracle, and ClickHouse. Expertise in Big Data technologies like Hadoop and Kafka, and cloud platforms across AWS and GCP, optimizing large-scale data systems. Successfully led critical migrations, optimizations, and the development of data warehouses and data lakes, with impactful contributions to projects for major companies like Apple. Experienced in leveraging DevOps tools and integrating APIs using AsyncIO to enhance system efficiencies.

Spark optimization expert - Igor U.
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Igor U.

Vetted Spark optimization developer in Brazil (UTC-3)

Sr Data Engineer | AWS Solutions Architect Certified | Spark Databricks developer Certified * 📷Sigma Software Group * 📷Federal University of Viçosa I'm Igor and I'm working in the IT area since 2015. I started my career being a software engineer, working on the backend, front end development, and DevOps, but at that time we already handled lots of data, but some datasets had become pretty much larger than we had used to see, so I discovered my real passion: the big data world. So I decided to jump into the data world where I'm until today. I'm a Data Engineer more focused on programming and infrastructure, so I have worked providing larger data engineering teams with some customized tools to help them during their data pipeline development. I have experience in providing and maintaining big data clusters, either on-premises or on the cloud, with some ready-to-use open-source (or customized) tools like Hadoop, Spark, Hive, Presto, Druid, Sqoop, NiFi, and others. Across all my work experience, I have done some user education 1:1s and training sessions to help our consumers on using our tooling efficiently. Also, sometimes I was allocated to some projects in order to help in data pipeline development using both real-time and batch approaches. One of my greatest achievements regarding this was designing and developing an automated framework for ETL development where business users can focus more on data pipeline development rather than what surrounds it. This project has been largely used and improved nowadays by the responsible team. I have also experience with ML in production or MLOps. I have worked as a technical lead in an MLOps squad helping my team on designing and development of a whole ML platform where users can develop, build, deploy and monitor their own ML models using some key concepts like model bias, input/output data drift (data quality and integrity) without any DevOps skills or extra knowledge

Spark optimization developer - Srikanth G.
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Srikanth G.

Vetted Spark optimization developer in the United States (UTC-5)

Data Specialist & Architect with a zeal to understand and solve business problems using different technologies primarily Cloud (Microsoft Azure). Focus area is around providing solutions for business processes that rely on old technologies and design a strategy to lift and shift them to Azure Cloud without impacting business outcome.

Spark optimization consultant - Gustavo S.
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Gustavo S.

Vetted Spark optimization developer in Brazil (UTC-3)

Throughout his career, Gustavo has established himself as a Full Stack Developer and Software Architect, distinguished by his expertise in engineering sophisticated software solutions, steering application development, and leading technology implementations across various sectors. His journey is a testament to his relentless pursuit of excellence in cloud-based applications and data engineering, underscored by his commitment to creating scalable, efficient solutions leveraging first-class and No/Low Code tech stacks. Gustavo's career is characterized by a unique blend of technical prowess and strategic insight, enabling him to simplify complex technical concepts for high-level executives and software engineers alike, thus translating intricate technicalities into strategic business insights. This skill has not only enhanced his ability to deliver impactful presentations but has also solidified his reputation as a trusted "CTO for Hire" within startup accelerators. In this capacity, Gustavo has adeptly coordinated technology strategies, navigated the complexities of managing competing priorities from diverse organizations, and tailored solutions that resonate with client needs with empathy and precision. A defining moment in Gustavo's career was the successful development and implementation of a No/Low Code proof of concept, leading to the execution of a significant project that surpassed scalability and efficiency benchmarks. This achievement highlighted his proficiency in No/Low Code platforms, a skill set he is eager to leverage in guiding enterprise customers to maximize their investments. The cornerstone of Gustavo's work is collaboration, having spent over four years working closely with native teams and managers, honing his understanding of cross-cultural and interdisciplinary team dynamics. His technical repertoire encompasses Python, JavaScript, React, Vue.js, Node.js, alongside expertise in cloud platforms like GCP and AWS, enriched by a solid foundation in data processing frameworks such as PySpark and Apache Kafka. As Gustavo looks towards the future, his ambition is to embrace the role of a Customer Engineer, where he can apply his technical expertise, strategic planning, and organizational skills to cultivate deep relationships with enterprise customers. With more than six years of experience in enterprise-level technical pre-sales and solution consulting, Gustavo is well-equipped to navigate the complexities of customer needs, crafting pathways to technological adoption and transformation that resonate across competitive landscapes.

Spark optimization architect - Alexis R.
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Alexis R.

Vetted Spark optimization developer in the United States (UTC-5)

I've always loved words -- reading them, writing them, learning about them -- so I appreciate that I'm able to apply that love of words to very analytical tasks. A lot of programming and machine learning is focused on math and numbers, but NLP and data science allows me to do interesting tasks without losing the human voice.

Spark optimization coder - Alex M.
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Alex M.

Vetted Spark optimization developer in Lithuania (UTC+3)

I am a Data Engineer with expertise in SQL, Python, Apache Airflow, and Machine Learning. I have experience in data processing, ETL, DWH support, and implementing ML models for product insights.

Spark optimization architect - Vignesh R.
Vignesh R.

Spark optimization developer in the United Kingdom

Highly skilled and detail-oriented Data Engineer with 9 years of comprehensive experience in IT, including 2 years in building, and optimizing scalable data solutions using Azure Data Factory, Databricks, Synapse, and SQL. Proven ability to drive data excellence, enhancing processing efficiency by 30%+, streamlining ETL pipelines, and enabling data-driven decision-making for enterprise-scale.

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Why clients hire Spark optimization developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
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.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Spark optimization developer?

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 a Spark optimization 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 Spark optimization developers can help keep your website up-to-date.

How do I hire Spark optimization developers?

To hire a Spark optimization 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 Spark optimization developers effectively and efficiently. Hire full-time Spark optimization 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 Spark optimization 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 Spark optimization 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 Spark optimization developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Spark optimization developers?

There are two types of platforms you can hire Spark optimization 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 Spark optimization 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 Spark optimization developers, consider niche platforms like Arc that naturally attract and carefully vet their Spark optimization developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Spark optimization developers.

Some factors to consider when you hire Spark optimization 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 Spark optimization developers for hire.

How do I write a Spark optimization developer job description?

Writing a good Spark optimization developer job description is crucial in helping you hire Spark optimization 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 Spark optimization 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 Spark optimization developers, read our Engineer Job Description Guide & Templates.

What skills should I look for in a Spark optimization developer?

The top five technical skills Spark optimization 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 Spark optimization 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 Spark optimization developers to keep up with evolving technology and requirements.

What kinds of Spark optimization developers are available for hire through Arc?

You can find a variety of Spark optimization developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Spark optimization developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Spark optimization 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 Spark optimization developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Spark optimization developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Spark optimization developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Spark optimization developers.

Every Spark optimization 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 Spark optimization 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.

How does Arc vet a Spark optimization developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Spark optimization 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 Spark optimization 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 Spark optimization developers, you can rest assured that all remote Spark optimization developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Spark optimization developers on Arc?

Arc pre-screens all of our remote Spark optimization developers before we present them to you. As such, all the remote Spark optimization 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 Spark optimization developer in 72 hours, or find a full-time Spark optimization 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 Spark optimization developers.

How much does a freelance Spark optimization developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Spark optimization developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Spark optimization 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 Spark optimization 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.

How much does it cost to hire a full time Spark optimization developer?

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 Spark optimization 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 Spark optimization developers, check out our FAQs page.

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