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Vetted data engineer in the United States (UTC-5)
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 data engineer in the United States (UTC-5)
I hold a Data Science certificate from Springboard and a Bachelor's in Mathematics with minors in Economics and Computer Science. My experience includes roles as a Data Engineer at IBM and Ariel Investments, where I worked on data warehouse creation, ETL flows, and data quality checks. I also served as a Business Systems Analyst at Tech Processing & Servicing, where I automated processes and developed database-connected dashboards. My skills include Python, SQL, Azure, AWS, and various libraries and tools.
Vetted data engineer in the United States (UTC-4)
Experienced infrastructure engineer seeking to solve hard technical challenges for your reproducible, scalable deploys.
Vetted data engineer in the United States (UTC-7)
I'm a freelance data scientist with over a decade of experience at top tech companies like LinkedIn, Snowflake, and TripAdvisor. I often join organizations as the first data hire—setting up both the technical foundations and the business processes that drive growth. My expertise in operations and go-to-market strategy means I quickly learn new industries and uncover opportunities that others might miss. I focus on projects that deliver at least a 5x return on investment for my clients, working closely with you to clearly define and articulate that value. If you're looking for a partner who turns data into actionable business results, let's connect.
Vetted data engineer in the United States (UTC-7)
10+ years of experience as a Data Engineer and Data Analyst. Experience in leading data projects, data modeling, architecting data frameworks, and creating ETL/ELT data pipelines. Python, SQL, Scala, Databricks, Airflow, AWS, Spark, DBT, Google Cloud Platform
Vetted data engineer in the United States (UTC-4)
Strategic and results-driven Product Manager with over 12 years of experience delivering innovative data products and tools that empower users, optimize workflows, and drive engagement. Proven track record in managing open-source projects, AI solutions, and contributor-driven initiatives. Adept at fostering collaboration, creating transparent processes, and aligning product strategies with stakeholder goals. I have created millions of dollars of value for multiple businesses by uncovering opportunities and developing solutions to market, scalability, cost, efficiency, forecasting, and quality challenges. For example: * Cut $100 million in AWS capacity plans out of a $3+ billion capital implementation due to low demand trends for specific products, while meeting 99% of capacity requests during a peak period of growth when EC2 was experiencing 40% annual growth. * Doubled revenues and achieved profitability by growing a sales team focused on a key product line. * Helped surgeons grow capacity and improve the efficiency of a large operating room group by showing them how often surgeries for each surgical team started on time and the reasons for delays. * Set quality benchmarks for cardiac surgeons by leveraging quality data from dozens of cardiac surgery hospitals, identifying top and bottom performer
Vetted data engineer in the United States (UTC-7)
I have a strong background in software development, data structures, algorithms, networking, and machine learning. Proficient in Java, C++, and Python. Experience includes roles at Amazon, Huawei, Moqi, Arista Networks, Microsoft, and University of Alberta.
Vetted data engineer in the United States (UTC-5)
Data engineer with 8.5 years of experience Activel looking for new roles ( contract / full time) .
Vetted data engineer 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 data engineer in Canada (UTC-4)
Hacker, tinkerer, curious and always up for exploring and learning new things. I thrive in solving problems, and building systems while keeping up with the highest standard thereof. I have quite some milage in backend software development and data engineering. And I often wear as many hats as necessary to do the job. **Skills:** Python, Scala, Rust, Golang, Java, Bash, SQL, NoSQL, Vertica, ScyllaDB, MongoDB, Teradata, Apache Druid, Kafka, Hadoop, Apache Spark, Apache Beam, Amazon Web Services, Google Cloud Platform, Grafana, Prometheus, Datadog, Emacs, Vi, Intellij, Git, Mercurial, Github Actions, CircleCI, Linux, FreeBSD
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Ready to hire your ideal data engineers?
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 data engineers worldwide.
We assist you in assembling your ideal team of professionals 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 a data engineer, 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 engineers can help keep your website up-to-date.
To hire a data engineer, 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 engineers effectively and efficiently. Hire full-time data engineers 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 engineers 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 engineers.
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 engineers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire data engineers 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 engineers 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 engineers, consider niche platforms like Arc that naturally attract and carefully vet their data engineers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote data engineers.
Some factors to consider when you hire data engineers 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 engineers for hire.
Writing a good data engineer job description is crucial in helping you hire data engineers 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 engineer 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 engineers, read our Engineer Job Description Guide & Templates.
The top five technical skills data engineers 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 engineers 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 engineers to keep up with evolving technology and requirements.
You can find a variety of data engineers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance data engineers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote data engineers 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 engineers 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 engineers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire data engineers.
Every data engineer 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 engineer 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 engineer 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 engineers, 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 engineers, you can rest assured that all remote data engineers 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 engineers before we present them to you. As such, all the remote data engineers 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 engineer in 72 hours, or find a full-time data engineer 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 engineers.
Depending on the freelance developer job board you use, freelance remote data engineers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find data engineers 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 engineers 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 engineer’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 engineers, check out our FAQs page.