Hire the Top 2% of
Freelance Data Quality Developers
Arc helps you find and hire top freelance Data Quality engineers for your jobs. With 6,348 Data Quality programmers available for hire on a freelance basis, we have one of the largest network of vetted talent. Our Silicon Valley-caliber vetting process helps ensure that you hire freelance Data Quality developers and experts that you can trust.
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Vetted Data Quality 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
JP Morgan Chase
Data Quality developer in the United States (UTC-5)
Tinkerer and extrovert. I've spent a good number of years in the analytics/DS space focusing on the craft of data-driven decision making. I'm always open to connecting with smart people working to make a positive impact.
JP Morgan Chase
Data Quality developer in the United States (UTC-5)
Experienced professional with expertise in banking & finance industry, collaborating with prominent clients such as Visa Inc., American Express, First Data, BofA & RBS. · Proven experience driving strategic growth, fostering C-level relationships, and leading large engagements (~50MM) with strong focus on analytics using AI/ML & innovation. Excellent team builder with expertise on enterprise architecture, data architecture, product delivery, & technology leadership. · Drive digital adoption & transformation in FinTech. Act as an ambassador repositioning company as a strategic partner, with significant transformation propositions & engagements with large clients. · Focus on growth initiatives by collaborating with leadership & sales teams to execute a targeted strategy for expanding Cards & Payments business. Successfully increased portfolio revenue by 28% focusing on new growth areas whilst leveraging both existing and emerging capabilities. · Well-versed in PDLC & SDLC methodologies such as Waterfall, Agile (SCRUM & KANBAN), and estimation techniques like Poker planning, SMC, FP, & a Certified Scrum Master. · Proficient in Identity and Access Management (IAM), including LDAP, SSO, Token-based authorization, MFA, RBAC, OAuth and other authentication systems. · Knowledge of enterprise applications utilizing APIs, SOAP, RESTful services, Kafka pipelines, with strong proficiency in Product Increment Planning (PIP), Quarterly Business Reviews (QBR) and review Quarterly Execution Plans (QEP). Hands on experience in infra provisioning & Disaster recovery. · Design automation solutions using AI/Machine Learning & custom tools, MDM for Data Migration & Mergers and automate ETL across Big Data and RDBMS elevating data quality during ingestion by 35%. · Hands on expertise in Data Ingestion, processing & storage, Data access & distribution, Analytics and governance, data security and privacy controls, data quality, profiling, monitoring and BI. · Architect, design & optimize high availability databases, collaborating closely with developers & DBAs to enhance capacity and resource management for on perm and cloud (AWS & Google Cloud) · Develop enterprise applications utilizing APIs, Python, SOAP, RESTful services, Java, JWS, JMS, Kafka pipelines, with strong proficiency in JSON/XML/XSLT and SOA. · Own continuous improvement in technology, plan for increased capacity & performance, design new products and initiatives in line with enterprise architectural standards · Run ARB (Architecture review board discussions), participate in platform team’s front door and architecture reviews, collaborate with dependent technical teams & security architecture teams
Visa
Vetted Data Quality developer in Brazil (UTC-3)
Please, visit my Linkedin for more details: [https://www.linkedin.com/in/marcel-pallete-81166b2b/](https://www.linkedin.com/in/marcel-pallete-81166b2b/) Experienced tech consultant, currently working as Data Tech Lead at Ernst & Young Brazil, focused in: \- SQL, Python, PySpark and Scala Languages \- Data Engineering \- Data Architecture \- ETL pipelines (By code or by ETL Tools like Pentaho, Alteryx, SSIS) \- Big Data (Spark, HDFS, Hive, NiFi, Kafka) \- Tuning and performance \- Azure Cloud (Data Factory, Databricks, Synapse Analytics, SQL DB, Data Lake Gen 2, Stream Analytics) \- Terraform and IaC for Azure Cloud \- Databases (SQL Server, PostgreSQL, Teradata, IBM DB2, MySQL) \- Data Modeling (Erwin, DW, DLH, OLAP/OLTP) \- Business Intelligence and DataViz (Power BI Expert level (M, DAX, DAX Studio, Tabular Editor), Tableau, Looker/Data Studio, Looker and LookML, Qliksense and Qlikview) \- Microsoft Fabric complete solution \- Microsoft Solutions (Power Platform, Power Automate, Sharepoint, Power Apps, Dataverse, Sharepoint)
Vetted Data Quality developer in Nigeria (UTC+1)
As a full-stack developer with a keen analytical mindset, I combine technical expertise with a commitment to delivering high-impact projects that solve real-world challenges. I bring a balanced skill set that spans from backend development and data analysis to intuitive front-end design, allowing me to approach projects holistically and tackle complex issues with precision. In my recent projects, I led the development of a predictive modeling system for the English Premier League, where I created a custom API to gather, clean, and normalize historical game data. By applying machine learning algorithms to this data pipeline, I developed predictive insights that not only generated accurate game forecasts but also highlighted player performance trends—proving valuable for users looking to make data-backed predictions. Additionally, I built a school management portal using React, a solution that streamlined data management for educators and provided real-time access to critical information, ultimately enhancing productivity and engagement across school communities. I am deeply motivated by projects that require attention to detail and critical problem-solving, especially those with a data-driven focus. Self-motivated and proactive, I have a track record of quickly adapting to new tools and challenges, always keeping usability and scalability in mind. With each project, I aim to create solutions that are not only efficient but also adaptable to future needs, and I am eager to bring this mindset to new opportunities that prioritize innovation and high-quality development.
Vetted Data Quality developer in Nigeria (UTC+1)
Technically-skilled and accomplished software testing professional with 8years of progressive expertise in delivering testing services on projects of varying complexities and sizes. Possessing a thorough understanding of both Software Development Life Cycle and Software Testing Life Cycle, successfully tested an array of applications/systems built on both traditional and contemporary development platforms ( Fintech, Edutech, Health Tech, E-commerce, Financial Services) SKILLSET \* Automation Testing Tools: Selenium, WebDriverIO, XCUITest, Appium, Cucumber, Cypress, Playwright. \* Automation Framework: Data-Driven, Page Object Modelling, Keyword Driven, Mocha, Cucumber \* Test Management Tools: Jira, Microsoft Azure, Asana, Trello, TestRail \* Databases: SQL Server, MySQL, \* Performance Testing Tools: Apache Jmeter, Loadster, \* API Testing Tools: Postman, SoapUi, Katalon studio, Swagger \* Continuous Integration: Jenkins, Docker, Gitlab, , Bitbucket \* Security and Penetration Testing Tools: OWASP \* Programming/Scripting Languages: JavaScript, Typescript, Python, HTML, CSS, SQL, Linux (Basic)
Vetted Data Quality developer in Romania (UTC+2)
Andrei is a senior software developer and ex-Microsoft engineer with 10+ years of experience developing web, desktop, mobile, and blockchain apps using Ruby, C#, and Javascript. His products brought $100M+ in total revenue and are used by dozens of millions of users to this day. Being a startup founder himself, Andrei knows exactly what brands need to succeed and how to bridge the gap between business and technology. He is here to help companies grow using the right software and tools.
Data Quality developer in Ireland
•Data Scientist with expertise in data visualization, story-telling, data analytics •Good verbal and written communication skills •Strong technical and analytical skills
IBM
Data Quality developer in Pakistan (UTC+5)
I have over 15 years of experience in product lifecycle management (PLM) and excel in developing large-scale distributed applications and cloud-connected systems. I gained skills in analyzing complex business problems and finding elegant solutions and are able to keep everyone engaged and enthusiastic while simplifying software tasks.
Siemens
Data Quality developer in India (UTC-7)
12+ years of experience in Software Testing, Debugging, Web UI, Backend, API, Android/iOS App, Big Data, Cloud Applications, Data Warehouse, Backend, and end-to-end testing. Configuring and Implementing software applications for Analytics, E-Commerce and Telecom domains. A Team Player who knows to deliver his responsibilities as well as motive Team positively to render quality output. **My H1-B Visa for the USA has been approved in 2023.** Shell Scripting, Java, Automation & Manual Testing, and Oracle/MySQL/MongoDB/DynamoDB as backend database in Unix Environment on multi-tier architecture, Cloud. Well versed in Grey Box, Black Box, Usability, GUI (Desktop, M-site, Android App, iOS App), Backend, Functional, System, Regression, Integration, Smoke, Sanity, API, Performance and Database Testing. Good with Dockers, Terraform, Kubernetes, Grafana, Presto, Solr, Hadoop, Kafka, ActiveMQ, PostgreSQL, Telemetry, Oozie, Zookeeper, Pig, Hive, HTML, UI Automation using Selenium WebDriver, TestNG, API automation using Rest Assured Framework, Jenkins for CICD and NoSQL like MongoDB, DynamoDB. API development using SpringBoot. Certified Oracle Cloud Infrastructure 2021 Associate with thorough knowledge of Cloud Infrastructure like load balancers, networks, application, data warehouse, object storage and underlying mechanism. Experience in Bug Tracking tool Sim, Trac, Jira. Implemented various Change Requests (CR) at customer location (onshore as well as offshore).
Oracle
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FAQs
Why hire a Data Quality 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 Quality developer, multiple developers, 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 Quality developers can help keep your website up-to-date.
How do I hire Data Quality developers?
To hire a Data Quality 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 Quality developers effectively and efficiently. Hire full-time Data Quality 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 Quality 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 Quality 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 Quality developer for your company, and let Arc handle the logistics.
Where do I hire the best remote Data Quality developers?
There are two types of platforms you can hire Data Quality programmers 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 Quality 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 Quality developers, consider niche platforms like Arc that naturally attract and carefully vet their Data Quality developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Data Quality developer candidates.
Some factors to consider when you hire Data Quality 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 Quality developers for hire.
How do I write a Data Quality developer job description?
Writing a good Data Quality developer job description is crucial in helping you hire Data Quality programmers 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 Quality 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 Quality programmers, read our Software Engineer Job Description Guide & Templates.
What skills should I look for in a Data Quality engineer?
The top five technical skills Data Quality 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 Data Quality 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 Quality developers to keep up with evolving technology and requirements.
What kinds of Data Quality programmers are available for hire through Arc?
You can find a variety of Data Quality 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 Quality programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Quality 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 Data Quality 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 Quality developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Quality 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 Quality developers.
Every Data Quality developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills (both for depth in Data Quality and breadth across the greater domain). 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 Quality 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.
How does Arc vet a developer’s Data Quality skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Data Quality 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 Quality 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 Quality developers, you can rest assured that all remote Data Quality 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 Quality developers on Arc?
Arc pre-screens all of our remote Data Quality developers before we present them to you. As such, all the remote Data Quality 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 Quality programmer in 72 hours, or find a full-time Data Quality programmer 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 Quality developers.
How much does a freelance Data Quality developer charge per hour?
Depending on the freelance developer job board you use, freelance remote Data Quality developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Data Quality 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 Quality 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 Quality developer?
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 Data Quality 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 Quality developers, check out our FAQs page.