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Top remote Data Lake developers and experts available to hire:

Remote Data Lake expert - Kenni O.
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Kenni O.

Vetted Data Lake developer in the United Kingdom (UTC+1)

Specialises in cloud data & analytics platform architecture, modernisation and deployment. I work well with stakeholders to quickly establish requirements, discover data stores, map out strategies, and identify key insights for the business to leverage on. PRINCE 2 Practitioner, Agile Projects. All things Data!"

Remote Data Lake consultant - James I.
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James I.

Vetted Data Lake developer in the United States (UTC-5)

Senior BI Analyst at Des Moines University (opinions mine). {he/him} Credentials: * [Microsoft Most Valuable Professional (MVP)](https://mvp.microsoft.com/en-US/mvp/profile/94414f71-47ad-4c1e-8833-f5a6642299bb) * [Microsoft Certified: Power BI Data Analyst Associate (PL-300)](https://learn.microsoft.com/en-us/users/jamesdbartlett3/credentials/5ca9e345dccd8b6d) * [Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)](https://learn.microsoft.com/en-us/users/jamesdbartlett3/credentials/eb0e7f1df2c5d9a3) Blog: [DataVolume.xyz](https://datavolume.xyz/) About me: Humanist, Musician/Producer, and Sound Designer. Fan of STEM, Philosophy, and History.

Remote Data Lake developer - Angela C.
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Angela C.

Vetted Data Lake developer in the United States (UTC-6)

I am a BI/Data Analyst with 8+ years of experience in data extraction, modeling, analysis, and visualization across the government consulting, nonprofit, manufacturing supply chain, and defense sectors. I am successful at translating complex technical concepts into digestible content for diverse audiences within global business units. Excelling in people-facing roles, I am able to rapidly build rapport with internal/external customers and work effectively with global project teams to achieve business objectives. My skillset encompasses several leading analysis tools, including Power BI, R, Excel, DAX, and SQL. I am also intellectually curious, learning and applying new processes and systems to solve complex BI problems. I have demonstrated achievement in project management, executing tasks effeciently while in remote roles.

Data Lake developers developer - Angela C.'s portfolio image
Data Lake developers developer - Angela C.'s portfolio image
Data Lake developers developer - Angela C.'s portfolio image
Remote Data Lake engineer - Amine J.
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Amine J.

Vetted Data Lake developer in Canada (UTC-4)

Strong verbal and written communication skills. Strong networking and collaboration skills Good control of stress and fast learning ability. Highly skilled in collecting business requirements and translating them to technical specifications Proven ability to deliver advanced analytics solutions with Databricks Experienced with CI/CD tools (Git, Azure DevOps, GitLab, GitHub) 9 years of experience dedicated to data engineering Databricks Certified Data Engineer Associate | Microsoft Certified Data Engineer Associate. Professional in building and deploying Distributed Machine Learning / Deep Learning models. Proficient in Hyperparameter tuning 4 years of experience dedicated to data science and Machine Learning, Data Science Micro Master’s Degree from University of California-San Diego ([edX.org](http://edx.org/)). Databricks Certified Machine Learning Associate Provided consultations for a range of sectors, including government, manufacturing, energy, and transportation. Excellent coaching / training skills for junior team members. Agile Software Development. Proactive self-learner, continuously prepared to embrace new challenges like Generative AI.

Remote Data Lake architect - Milind K.
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Milind K.

Vetted Data Lake developer in the United Kingdom (UTC+1)

\- Highly skilled and motivated senior data engineer/data analyst with a proven track record in designing, building, and maintaining large-scale data systems. \- Expertise spans the entire data lifecycle: modeling, designing, ingestion, storage, processing, integration, visualization, and quality testing. \- Proficient in architecting robust, scalable data pipelines using technologies like Azure Databricks, Data Lake Storage, Data Factory, Blob Storage, Python, PySpark, PyTest, SQL, and Great Expectations. \- Experienced in data ingestion from diverse sources: structured databases (Oracle, SQL Server), semi-structured formats (JSON, XML), unstructured data (text, multimedia files), and REST APIs. \- Strong skills in data transformation and processing, efficiently manipulating, cleansing, and transforming large volumes of data with PySpark. \- Deep understanding of data warehousing concepts, data modeling techniques, and query optimization strategies, delivering optimized solutions for data storage and retrieval. \- Well-versed in data quality assurance and implementing robust data governance practices to ensure data integrity, compliance, and security. \- Excel at extracting valuable insights and patterns from complex datasets using advanced statistical techniques and data mining algorithms. \- Skilled in creating visually compelling dashboards and reports with visualization tools and frameworks, effectively communicating data-driven insights to stakeholders for informed decision-making. \- Ability to bridge the gap between data engineering and data analysis, bringing a comprehensive approach to projects and enabling organizations to derive actionable insights from their data.

Remote Data Lake developer - Saad S.
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Saad S.

Vetted Data Lake developer in Canada (UTC-4)

I am a software engineer with 10 years of professional experience in full-stack enterprise web systems development. As an initiative owner at Wave Financial and Jiffy on Demand, I have successfully delivered solutions for multiple key initiatives. I provided cross-functional, collaborative leadership and contributions during iterative agile sprints across various stages of the SDLC process. I have mentored junior developers, paired with new team members, and contributed to the architecture of greenfield projects. Beyond problem-solving, I am comitted to delivering solutions with security, usability, scalability, and maintainability built in from the start.

Remote Data Lake programmer - Gideon P.
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Gideon P.

Vetted Data Lake developer in Canada (UTC-3)

I am a senior software engineer with experience in leading teams, developing data pipelines, and implementing solutions. I have expertise in Python, Django, Flask, Postgres, Spark, Kinesis, AWS, Docker, Kubernetes, and Terraform. I have worked on projects involving healthcare integrations, machine learning models, and SQL/NoSQL databases. I also have a background in mathematics and have led research groups in machine learning and artificial intelligence. In my free time, I am building a sustainable hobby farm and providing technical advice to companies.

Remote Data Lake programmer - Peda B.
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Peda B.

Vetted Data Lake developer in Norway (UTC+2)

I am an experienced software architect, software engineer, and an entrepreneur well acquainted with challenges on making successful software and growing a business around it. Whether you wish to use my expertise solely or balance out an existing team, I am able, and willing, to contribute. I have **18 years of experience**, and a plethora off skills. Here are some things I can do for you: **As team lead / senior software engineer** I will get you up and running, scale your existing solution, by utilizing skills below: \- .NET Core | REST API | OpenId Connect | OAuth 2.0 | Azure | Industrial IoT | Azure DevOps CI/CD | SOLID | CQRS | Microsoft Orleans | Event Sourcing | Event Driven Architecture | DDD | TDD | Docker | Docker swarm | ETL / ELT | SQL | No-SQL | Streams | Analytics Engineering | **As fractional CTO:** \- Ensure strategy-tech. alignment to support product roadmap and stakeholder management \- Build & optimise teams to be outcome driven by building a culture which emphasized on working \*towards\* an outcome as opposed to working \*on\* a project \- SaaS model enablement (multi-tenancy & architecture to name a few) \- Enabling key capabilities needed for enterprise B2B (SSO, security & audit to name a few) \- Implement software monetization capabilities using Microsoft Azure Marketplace

Data Lake developers developer - Peda B.'s portfolio image
Data Lake developers developer - Peda B.'s portfolio image
Data Lake developers developer - Peda B.'s portfolio image
Data Lake developers developer - Peda B.'s portfolio image
Remote Data Lake coder - langton M.
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langton M.

Vetted Data Lake developer in South Africa (UTC+2)

I am a Senior AWS Data Engineer with expertise in Big Data, NoSQL, databases, programming, cloud services, and tools. I have led successful projects in data engineering and machine learning.

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Why clients hire Data Lake 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 Data Lake 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 Data Lake 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 Data Lake developers can help keep your website up-to-date.

How do I hire Data Lake developers?

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

Where do I hire the best remote Data Lake developers?

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

Some factors to consider when you hire Data Lake 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 Data Lake developers for hire.

How do I write a Data Lake developer job description?

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

What skills should I look for in a Data Lake developer?

The top five technical skills Data Lake 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 Data Lake 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 Data Lake developers to keep up with evolving technology and requirements.

What kinds of Data Lake developers are available for hire through Arc?

You can find a variety of Data Lake developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Data Lake developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Lake 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 Data Lake 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 Data Lake developers?

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

Every Data Lake 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 Data Lake 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 Data Lake developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Lake 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 Data Lake 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 Data Lake developers, you can rest assured that all remote Data Lake 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 Data Lake developers on Arc?

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

How much does a freelance Data Lake developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Data Lake developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Lake 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 Data Lake 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 Data Lake 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 Data Lake 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 Data Lake developers, check out our FAQs page.

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