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Vetted Data Pipelines developer in the United States (UTC-5)
I'm a Texan and a programmer with experience in startups, early-stage product development, algorithms and machine learning. I have spent time in the restaurant industry, local food systems and in retail. Food and food-related technologies are my passion.
Vetted Data Pipelines developer in the United States (UTC-4)
Experienced data engineer with extensive healthcare experience able to bridge the divide between IT and business operations to implement cutting edge solutions that deliver real value
Vetted Data Pipelines developer in Canada (UTC-4)
Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques • Over 6+ years of experience in Data Engineering, Data Pipeline Design, Development and Implementation as a Sr. Data Engineer and Data Developer. • Strong experience in Software Development Life Cycle (SDLC) including Requirements Analysis, Design Specification and Testing as per Cycle in both Waterfall and Agile methodologies. • Strong experience in writing scripts using Python API, PySpark API and Spark API for analyzing the data. • Experience with Azure Cloud, Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, Azure Analytical Service, Big Data Technologies (Apache Spark) • Experience with GCP Cloud Storage, Big Query, Composer, Cloud Dataproc, Cloud SQL, Cloud Functions, Cloud Pub/Sub • Worked on ETL Migration services by creating and deploying AWS Lambda functions to provide a serverless data pipeline that can be written to glue catalog and queried from Athena. • Extensively used Python Libraries PySpark, Pytest, Pymongo, PyExcel, Psycopg, embedPy, NumPy and Beautiful Soup. • Migrated an existing on-premises application to GCP. Used GCP services like Cloud Dataflow and Dataproc for small data sets processing and storage. • Hands On experience on Spark Core, Spark SQL, Spark Streaming and creating the Data Frames handle in SPARK with Scala. • Experience in NoSQL databases and worked on table row key design and to load and retrieve data for real time data processing and performance improvements based on data access patterns. • Experience with Unix/Linux systems with scripting experience and building data pipelines. • Extensive experience in Hadoop Architecture and various components such as HDFS, Job Tracker, Task Tracker, Name Node, Data Node, and Map Reduce concepts. • Performed complex data analysis and provided critical reports to support various departments. • Expertise in development of various reports, dashboards using various PowerBI and Tableau Visualizations • Experience in building large scale highly available Web Applications. Working knowledge of web services and other integration patterns. • Experienced with version control systems like Git, GitHub, CVS, and SVN to keep the versions and configurations of the code organized. Efficiently facilitating task tracking and issue management using JIRA. • Good communication skills, work ethics and the ability to work in a team efficiently with good leadership skills. • Experience with continuous integration and automation using Jenkins. • Experience building docker image using accelerator and scanning images using various scanning techniques
Vetted Data Pipelines developer in the United States (UTC-7)
I hold a Master's in Geographic Information Science and Technology, with experience in geospatial analytics, data-driven solutions, web application development, and data processing pipelines. My expertise includes GIS technology, data analysis, and database management.
Vetted Data Pipelines developer in the United States (UTC-6)
I've been working in enterprise software my entire career and done just about everything. Going to market with a new product is my strength, but I've been told I'm great at rehabilitating old products as well. Let's make something great!
Vetted Data Pipelines developer in Canada (UTC-4)
Google Cloud Certified Professional Data Engineer and Big Data Enthusiast with 5 years of experience in designing and implementing and architecting autonomous and on-demand Cloud Data Engineering ETL pipeline solutions to load data from both batch and streaming sources into Data Warehouses, Data Lakes and Systems Migration to the Cloud. Looking for opportunities to translate my expertise and experience in Google Cloud into efficient ETL Data Pipeline and Warehouses.
Vetted Data Pipelines developer in the United Kingdom (UTC+1)
I'm a software engineer with 10+ years experience of making things and solving problems. I've worked across traditional fullstack website development, game development, VR apps, cross platform psychometric assessments, data analysis, and data science. I love working somewhere where I can make a difference and get involved in product direction. Right now I'm looking for my next adventure so feel free to reach out to me!
Vetted Data Pipelines developer in the United Kingdom
I am an experienced Subsurface Data Management Specialist/Data Analyst and Data Engineer with 21+ years in Oil and Gas E&P. Comprehensive knowledge of the upstream sector and E&P lifecycle, including a deep understanding of geological and geophysical domains, subsurface data types, and formats backed by significant experience in the petroleum industry. Proficient in Geoscience data management within G&G applications for vendors like Schlumberger, Halliburton, Paradigm/Emerson, and numerous others. Proficient in Cloud-based Data Engineering on Microsoft Azure, with expertise in end-to-end automation encompassing the creation and supervision of data pipelines. Proficient in extracting and visualizing data in Power BI dashboards, incorporating diverse data visualizations. Engaged in worldwide data management, executing data cleansing and automation initiatives aligned with cutting-edge industry standards. Collaborated with small, independent, and super-major oil companies and service providers, while acting as the head, Data Management team overseeing local and offshore resources to meet and exceed customer expectations consistently. Skilled in project management, and a problem-solving innovator. Involve and manage projects that support digital transformation. I have undertaken assignments across Europe, Pakistan, the Middle East, and Africa, contributing to various projects. My substantial international experience includes adeptly addressing client challenges while delivering exceptional customer support to globally diverse organizations such as bp (Aberdeen - UK), SAIC/Wipro (Aberdeen – UK), LMKR/Halliburton (Islamabad - Pakistan), KJO (Khafji - Saudi), ADNOC group of companies (Abu Dhabi - UAE), and ENI (Cairo - Egypt).
Vetted Data Pipelines developer in Canada (UTC-4)
Experienced Software Engineer with over 7 years of experience in Web3, Blockchain, and AI technologies. Proven track record in designing scalable systems, leading teams, and delivering solutions in fast-paced environments. Skilled in a broad range of programming languages, cloud services, and big data technologies.
Vetted Data Pipelines developer in the United Kingdom (UTC+1)
I’m a senior back-end developer (Python, Go, DevOps and data pipelines) with broad experience and interests. I focus on, and most enjoy, chances to have a positive impact upon the world. I am familiar with scientific analysis, statistics, and processing sensitive medical image data from my PhD; financial concepts and tools from a small investment fund; the “developer experience” and platform responsibilities of a growing FinTech; and best-practices Python across a huge codebase managing millions of accounts. I particularly enjoy understanding the complete processes of an organisation, and I’m keen to learn new technologies and ways of working, design new systems, and impactfully improve existing ones.
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Get startedArc offers pre-vetted remote developers skilled in every programming language, framework, and technology. Look through our popular remote developer specializations below.
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 Pipelines 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 Pipelines developers can help keep your website up-to-date.
To hire a Data Pipelines 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 Pipelines developers effectively and efficiently. Hire full-time Data Pipelines 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 Pipelines 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 Pipelines 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 Pipelines developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Data Pipelines 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 Pipelines 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 Pipelines developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Pipelines developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Pipelines developers.
Some factors to consider when you hire Data Pipelines 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 Pipelines developers for hire.
Writing a good Data Pipelines developer job description is crucial in helping you hire Data Pipelines 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 Pipelines 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 Pipelines developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Data Pipelines 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 Pipelines 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 Pipelines developers to keep up with evolving technology and requirements.
You can find a variety of Data Pipelines 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 Pipelines developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Pipelines 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 Pipelines 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 Data Pipelines 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 Pipelines developers.
Every Data Pipelines 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 Pipelines 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 Data Pipelines 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 Pipelines 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 Pipelines developers, you can rest assured that all remote Data Pipelines 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 Data Pipelines developers before we present them to you. As such, all the remote Data Pipelines 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 Pipelines developer in 72 hours, or find a full-time Data Pipelines 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 Pipelines developers.
Depending on the freelance developer job board you use, freelance remote Data Pipelines developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Pipelines 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 Pipelines 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 Data Pipelines 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 Pipelines developers, check out our FAQs page.