Hire the best
freelance Data Engineering developers

Arc helps you find and hire top freelance Data Engineering engineers for your jobs. With 1,474 Data Engineering 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 Engineering developers and experts that you can trust.

$0 until you hire freelance Data Engineering developers$0 until you hire
Trusted by

Hire freelance Data Engineering developers

Marcel P., freelance Data Engineering programmer
Marcel P.

Freelance Data Engineering developer in Brazil

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)

Data Engineering • 5 yrsBig Data • 3 yrsData Visualization • 7 yrsData warehouse • 5 yrsData modeling • 5 yrsData Pipelines • 5 yrsETL • 5 yrs<em>Cloud</em> developerCloudData MiningData analysisData MigrationData structureApache SparkApache KafkaData processingData ManagementData analytics<em>Apache</em> Hadoop developerApache HadoopData CleansingCloud ArchitectureData CleaningData IntegrationGoogle Data StudioAirflowData LakeData IngestionData architectureBig Data SQLPentaho Data IntegrationData QualityApache AirflowData manipulationData wranglingData ValidationBig Data EngineeringApache NiFiAzure Data FactoryData governanceBig data technologiesData Warehouse TestingBig Data ArchitectureAzure Data EngineerVisual Data AnalyticsAzure Data LakeData pipeline designData Version Control<em>Data</em> Science developerData ScienceApache HiveMicrosoft Power PlatformEnglish • 10 yrsPerformance Optimization • 5 yrsAzure • 3 yrsPython developerPythonSQL developerSQLScala developerScalaMySQL developerMySQLGit developerGitMongoDB developerMongoDBDatabase developerDatabasePostgreSQL developerPostgreSQLSharePointNumPyGitHubAmazon S3Google AnalyticsPandasWeb ScrapingQuery OptimizationSASIntegrationGitLab developerGitLabFabricAzure Queue StorageGoogle BigQueryDatabase NormalizationDocker developerDockerPython 3TeradataPipelinesScrumLeadershipKanbanOLAPTableauSQL QueriesDatabase TuningIBM DB2Microsoft SQL ServerAmazon RedshiftSQL TuningAzure SQLPower QueryLive StreamingHiveQLPentahoStar SchemaQlik SenseJupyterTerraformAzure Machine LearningInfrastructure as CodeDAXAzure Service fabricUX/UI DesignPower BIAgileSQL DatabasesLookerSnowflakeAlteryxAzure SQL DatabaseDataflowAzure table storageDatabricksJupyterLabMicrosoft Power AppsAzure Blob StorageAzure SQL ServerSQL Performance TuningMicrosoft service fabricDBTAzure ConsultantMicrosoft Power AutomateDelta LakeDataverseAzure synapse analyticsAzure synapseDelta TablesUX designAzure IoT EdgeJSON developerJSONExcelMachine learning developerMachine learningNoSQLAnalyticsWeb analyticsWireframing/prototypingUX ReviewUI designAnalysisMathematicsRequirements GatheringTechnical WritingNoSQL DatabaseProblem-solvingQAStatisticsStrategy
+141
Ivan C., Data Engineering developer for hire
Ivan C.

Freelance Data Engineering developer in Brazil

I am a Lead Data Engineer with experience in establishing and structuring environments, developing ETL pipelines, and leading AI-driven projects. My technical skills include orchestration, streaming, Big Data, DevOps, Cloud Platforms, APIs, Automated Testing, Data Analysis, Machine Learning, and Data Visualization.

Leonardo R., Data Engineering freelance programmer
Leonardo R.

Freelance Data Engineering developer in Brazil

I have experience in software engineering and data engineering since 2019 working on \- Real-time data processing (Scala, Golang, Python, Kafka, PubSub) \- Data pipelines (Apache Beam, Airflow, Spark) \- Data warehouse (Redshift, BigQuery) and data lake (S3, GCS) \- Databases SQL (SQLServer, Postgres, CloudSQL) and NoSQL (Bigtable, MongoDB) \- Data Visualization (Tableau, Power BI, Data Studio) \- Data analysis (SQL) \- Cloud environment (GCP, AWS) Also, I have knowledge in DevOps (Terraform, CircleCI, Jenkins) and Git. Certified as Professional Scrum Product Owner I by [Scrum.org](http://scrum.org/) and Google Cloud Certified Professional Data Engineer by Google.

Miguel G., freelance Data Engineering programmer
Miguel G.

Freelance Data Engineering developer in Colombia

Data Engineer/Scientist with over five years of experience developing and deploying Data Science products for predictive purposes in energies, healthcare, and tourism industries. Wide-ranging experience as Data Engineer working with big and unstructured data on-premises and in the cloud. Solid experience with frameworks, cloud services and, deployment services such as MLOps, Snowflake, DVC, Azure Data Factory, CI/CD, Airflow, MLFlow, Terraform, Docker and, agile methodologies. Technical background in cloud platforms such as Azure, Google Cloud Platform, and IBM Cloud. Extensive experience with collaborative tools such as GitHub, GitLab, and Bitbucket. Statistics and solid mathematical knowledge because of over ten years of experience as a Chemical Engineer. **Proficient in English and bilingual in Spanish and Portuguese, beginner in French**.

Lukish Y., freelance Data Engineering programmer
Lukish Y.

Freelance Data Engineering developer in India

Having 9+ years of experience in Science of the data, I do not hesitate to use adaptations instead of reinventing the wheel. I BELIEVE: 1) Scoping the problem to find its relevance is one of the most important aspects of analytics. 2) Creating partial solutions is better than admiring the problem. Being an impatient learner makes me flexible enough to learn new technologies. Science of data is not just a Tech, but also a LIFE skill!

Jixiong H., Data Engineering freelance developer
Jixiong H.

Freelance Data Engineering developer in the United States

Result-driven Data Scientist Manager with over 15 years of diverse experience in information technology and data science. Proficient in leading data science teams and developing scalable products and workflows using machine learning and artificial intelligence. Led numerous projects resulting in increased efficiency and revenue growth. Skilled in project management, data analysis, and implementing ML/AI solutions. Excellent interpersonal, communication, and management skills with a proven ability to establish rapport with individuals at all professional levels.

Noah P., Data Engineering developer for hire
Noah P.

Freelance Data Engineering developer in the United States

Data Engineer experienced in building data pipelines, machine learning models, and infrastructure-as-code. Skilled in bridging business and engineering perspectives to scale up enterprise analytics. Passionate about building reliable data architectures that users depend on.

Bummy A., freelance Data Engineering developer
Bummy A.

Freelance Data Engineering developer in the United States

I have an exceptional understanding of Data Engineering, Business Intelligence Data Warehouse, and Salesforce concepts. I possess profound knowledge of databases and cloud formation services. I am skilled in SQL writing, analytical skills, and reporting and dashboard development. I have experience in ETL processes and integrating and configuring partner connection apps. I am knowledgeable in Salesforce Sales Cloud and have experience in data modeling and data quality. I have worked as an Application Developer/ETL, Marketing Data Engineer, Data Engineer/Salesforce Admin Consultant, ETL Developer/Data Engineer, and ETL Developer. I have a Master's degree in Information Technology and certifications in Salesforce Admin and AWS Solution

Aiden E., freelance Data Engineering developer
Aiden E.

Freelance Data Engineering developer in Germany

Looking for new adventures and challenges! A seasoned Senior Data Scientist and Machine Learning Engineer, with 5+ years of expertise in advanced text and statistical analytics, ML, statistical modeling, and NLP applications. Skilled in extracting insights from complex datasets to drive data-driven decision-making. Proficient in programming languages like Python, SQL, and Java and tools like GCP, and AWS. Exceptional problem-solver, adept at teamwork, and effective communication skills. Seeking a role as a Machine Learning Engineer, Data Scientist, Data Engineer, or Data Analyst. - \- Open to Relocate (in Germany) \## Skills Summary \# Technical Proficiency \- Programming Languages and Frameworks: Advanced proficiency in Python, Flask, and Java for full-stack Machine Learning development. \- AI/ML Technologies: Hands-on experience applying classification, regression, clustering, deep learning, image processing, and NLP techniques to solve real-world problems. \- Libraries: Expertise in NumPy, Pandas, PySpark, TensorFlow, Keras, PyTorch, sci-kit-learn, OpenCV, SciPy, SpaCy, Matplotlib, Seaborn, and Plotly for data exploration, modeling, and visualizations. \- Cloud Technologies: Extensive experience architecting and deploying end-to-end data science solutions on AWS (SageMaker, EC2, Lambda, S3) and GCP (Vertex AI, Compute&App Engine) platforms. \- Databases: In-depth working knowledge of SQL, MySQL, PostgreSQL, BigQuery, MongoDB, and Spark for efficient data storage, manipulation, and querying large datasets. \- Data Science and Misc. Technologies: Hands-on with generative AI, large language models, mathematics, time series analysis, recommendation engines, NLP applications, and Jupyter Notebook. \- Deployment/MLOps: Expertise using MLFlow, Airflow, FlaskAPI, TensorBoard, CI/CD, and Agile methodologies for robust model operationalization. \# Soft Skills \- Communication: Strong presentation skills to report influential findings to technical and non-technical stakeholders. \- Problem-Solving: Critical thinking and analytics to address challenging problems methodically. \- Collaboration: Proven team player with the ability to build consensus and achieve group objectives. \- Business Acumen: Track record of strategic business recommendations by translating complex analytics into actionable insights. Continuous Learning and Adaptability \- Innovation Mindset: Passion for self-improvement and hands-on experience with emerging technologies. \# Ethics & Compliance \- Data Privacy: Knowledge of data privacy, ownership, and ethical use as per regulatory standards like GDPR, and CCPA. \- Compliance: Understanding of legal frameworks to ensure projects meet quality and security compliances.

vaishali B., Data Engineering freelance programmer
vaishali B.

Freelance Data Engineering developer in Mauritius

Results-driven Data Architect with over 12.5 years of experience in designing, implementing, and maintaining data solutions. Proven expertise in both Azure and GCP environments, including data integration, ETL processes, and data warehousing. Seeking a challenging role to leverage my skills and contribute to the success of an innovative organization.

Discover more freelance Data Engineering developers today

Why choose Arc to hire freelance Data Engineering developers

  1. Curated talent you can trust

    Curated talent you can trust

    Meet Data Engineering freelancers with verified technical and communication skills who are ready to interview.

  2. Trusted global talent pool

    Trusted global talent pool

    Access “hidden gem” freelance Data Engineering developers outside your local area.

  3. Hire 4x faster

    Hire 4x faster

    Hire a Data Engineering contract developer in 72 hours

Excellent
tp-full-startp-full-startp-full-startp-full-startp-half-star

Hire a top freelance Data Engineering developer easily

Hire a top freelance Data Engineering developer easily
1

Tell us about your request

Describe the Data Engineering developer you're looking for.

2

Interview candidates

Receive vetted candidate profiles matching your engineering needs.

3

Hire Data Engineering developers

When ready, select a developer to hire.

Hire a developerLearn more about pricing

Hire top freelance
Data Engineering
in the world

Arc talent
around the world

350K+

Arc Data Engineering
in the world

1,474
Arc freelance Data Engineering in the world

Ready to hire your ideal freelance Data Engineering?

Get started

Build your Data Engineering development team anywhere

Arc helps you build your team with our network of full-time and freelance Data Engineering developers worldwide, spanning 190 countries.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.

FAQs

Why hire a Data Engineering 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 Engineering 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 Engineering developers can help keep your website up-to-date.

How do I hire Data Engineering developers?

To hire a Data Engineering 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 Engineering developers effectively and efficiently. Hire full-time Data Engineering 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 Engineering 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 350,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Data Engineering 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 Engineering developer for your company, and let Arc handle the logistics.

Where do I hire the best remote Data Engineering developers?

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

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

How do I write a Data Engineering developer job description?

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

What skills should I look for in a Data Engineering engineer?

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

What kinds of Data Engineering programmers are available for hire through Arc?

You can find a variety of Data Engineering 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 Engineering programmers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Data Engineering 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 Engineering 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 Engineering developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Data Engineering 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 Engineering developers.

Every Data Engineering 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 Engineering 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 Engineering 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 Engineering skills?

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

Arc pre-screens all of our remote Data Engineering developers before we present them to you. As such, all the remote Data Engineering 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 350,000 candidates. You can also expect to hire a freelance Data Engineering programmer in 72 hours, or find a full-time Data Engineering 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 Engineering developers.

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

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

Your future Data Engineering developer is
just around the corner!

Risk-free to get started.