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Data Engineering

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Data Engineering
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Hire Data Engineering Developers and Engineers

Marcio A., Data Engineering Developer

- 20+ years of experience in IT - Experience in Support Analyst, Systems Analysis, Software Development, Data Engineer, Database Engineer, Systems Integration, Integration Developer, Data Analysis, Data Structures, Data Integration, Database Migration, Database Modeler, Database Analyst/Developer, Database Design, Database Management, Data Warehouse, Data Discovery, ELT/ETL, Extract, Transform, Load, Data Pipelines, Data Replication, Business Intelligence, Data Modeling (Dimension and Relational), Performance Tuning (SQL, PL/SQL Applications), experience in working with large databases and datasets, testing, validation, implementation, and troubleshooting skills, performance and resource optimization improvements, maintaining development, test and production environments, experience with process automation (monitoring, alerting, auto-corrective) and distributed systems, strong knowledge in PL/SQL, SQL, Oracle Database and - Knowledge in Agile methodology (Scrum, Kanban). - Upper-Intermediate English - Available ASAP - No vacation plans

Data Engineering

Data Engineering

Apache Kafka

Apache Kafka   1 yr.

Radhey P., Data Engineering Developer

- Strong background in Python and relevant data libraries like NumPy, Pandas, etc with excellent analytical, programming, and problem-solving skills. - Experience of working with Snowflake with certification. - Proficiency in SQL Development like Transact-SQL, Data Creation, Data Definition, Stored Procedures, Views, Jobs, Triggers, etc. - Proficiency in Data Modelling, Model Interpretation, and Data Testing. - Expert in BI Development using Tableau, SAP Crystal Reports & Power BI - Worked intensively on Azure Cloud with certification. - Knowledge of working with NoSQL Databases like MongoDB, Amazon DynamoDB, - Experienced Shopify Developer, - Expert in Django based web development. - Experience in CI/CD methodologies using Github Actions & Buddy, - Proficient in Windows Server Administration, Windows Active Directory, G-Suite Administration, Microsoft Exchange / Office 365 Administration. - Upper-intermediate English. - Available ASAP.

Data Engineering

Data Engineering

Henry A., Data Engineering Developer

$30/hr
Identity Verified

- 9+ years experience working with Python; - 3+ years of experience with AI/ML projects; - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire; - Good skills with Vaex, and Dask; - Was a part of a financial debt management project; - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Proven commercial experience in HR and related Talent projects; - Extensive experience with Spark and Hadoop; - Background with TensorFlow, Scikit-learn and PyTorch; - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP); - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping; - Pet web3 projects (solidity, wallet integration); - Upper-intermediate English.

Data Engineering

Data Engineering   6 yr.

Python

Python   9 yr.

Data Analysis

Data Analysis   6 yr.

SQL

SQL   6 yr.

Microsoft Power BI

Microsoft Power BI   5 yr.

NoSQL

NoSQL   5 yr.

Only 3 Steps to Hire Data Engineering Developer

1
Talk to Our Data Engineering Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data Engineering Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Engineering talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Engineering expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data Engineering Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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CEO
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FAQs on Data Engineering Development

What is a Data Engineering Developer? Arrow

A Data Engineering Developer is a specialist in the Data Engineering framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Engineering Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Engineering Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Engineering Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Engineering, then hiring a Data Engineering Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Engineering Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Engineering Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Engineering Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Engineering Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Engineering Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Engineering Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Engineering Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data Engineering used?

How and where
  • Real-time data processing: Collecting and analyzing data instantly
  • Data warehousing: Storing and managing large volumes of data efficiently
  • Data migration: Transferring data between systems seamlessly
  • Data modeling: Designing data structures for optimal performance
  • ETL processes: Extracting, transforming, and loading data accurately
  • Big data analytics: Handling and analyzing massive datasets effectively
  • Data quality management: Ensuring data accuracy and consistency
  • Streamlining workflows: Automating data pipelines for efficiency
  • Machine learning integration: Preparing data for AI and ML algorithms
  • Scalability optimization: Scaling data infrastructure for growth

Compare Junior, Middle, Senior, and Expert/Team Lead Data Engineering Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data collection
  • Basic data analysis
  • Support senior developers
50,000
Middle2-5 years
  • Develop ETL processes
  • Optimize data pipelines
  • Code review
80,000
Senior5-8 years
  • Design data architecture
  • Lead projects
  • Mentor junior developers
110,000
Expert/Team Lead8+ years
  • Set data strategy
  • Manage teams
  • Drive innovation
150,000

Quick Facts about Data Engineering.

Facts about
  • It all began in 1997, a time when Spice Girls ruled the charts!
  • From ETL pipelines to real-time data processing, this tech does it all!
  • Don’t worry, you don’t need to be a rocket scientist to start using it!
  • Its best buddy is definitely Big Data – they make the dream team!
  • Did you know? The first data engineer was actually a wizard in disguise!

TOP Data Engineering Related Technologies

Related Technologies
  1. Apache Hadoop (Apache Software Foundation)
  2. Author: Doug Cutting, 2006

  3. Apache Spark (Apache Software Foundation)
  4. Author: Matei Zaharia, 2014

  5. Python
  6. Author: Guido van Rossum, 1991

What are top Data Engineering instruments and tools?

Instruments and tools
  • Airflow: Open-source platform by Apache, released in 2014
  • Spark: Apache’s in-memory computation tool, released in 2014
  • Kafka: A distributed event streaming platform by Apache, released in 2011
  • Hadoop: Distributed storage and processing framework by Apache, released in 2006
  • Flink: Distributed streaming dataflow engine by Apache, released in 2016
  • Beam: Unified programming model by Apache, released in 2016

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