EPAM Anywhere offers remote vacancies for Big Data Engineers. Apply as a freelance Big Data Engineer and work remotely with all EPAM Anywhere benefits.
Competitive compensation
We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.
Numerous benefits
Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.
Limitless career growth opportunities
Get access to a large-scale ecosystem that consists of educational and career development services created for your growth. A personal skill advisor will support you on each step of this journey.
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Spark, Databricks
40 hrs/week
12+ months
Data Software Engineering
Apache Spark, Amazon Web Services, Snowflake
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
Java
Git, MongoDB, REST API
40 hrs/week
12+ months
Java
Git, MongoDB, REST API
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Databricks, Python
40 hrs/week
12+ months
Data Software Engineering
Amazon Web Services, Apache Airflow, Apache Spark
40 hrs/week
12+ months
Bill Gates once said that content is a king. Today, we can definitely say that data is a king. Data science combines several key disciplines that include programming, mathematics, statistical analysis, and machine learning. Specialists in this field include Big Data Software Engineers, Data Analysts, and Data Scientists.
The latest report by Dice reveals that the number of Big Data Engineer jobs is growing by 50% each year. In global organizations, Big Data Software Engineer plays a critical role. They create and maintain pipelines to process, transform, and keep data in place. As a result, other employees (like analysts and scientists) can work with this data to build reports, forecast future changes, create machine learning models, etc.
The growing demand for talents in the Big Data field pushes companies to extend their search and create Big Data Engineer freelance jobs. EPAM Anywhere platform serves this exact purpose: to connect the global enterprise companies with freelance Big Data Engineers on the remote. Along with that, we provide you with all the benefits available to EPAM's in-house specialists and a personal skills advisor who helps you make a roadmap to building a successful career. We wrote this post to uncover must-have skills and key responsibilities of Big Data Engineers at EPAM Anywhere, so read on.
In general, key skills and qualifications depend on particular freelance Big Data Engineer jobs. For example, retail and eCommerce businesses tend to look for engineers with expertise in machine learning (ML) and artificial intelligence (AI). Such specialists are required to build complex recommendation systems and manage product stock.
Big Data Engineers set up an infrastructure for corporate Big Data, internal databases, and third-party integrations that collect and store the data. To help organizations achieve their goals, typical duties for Big Data Engineer jobs at EPAM Anywhere include:
On the EPAM Anywhere platform, freelance applicants can find a variety of remote Big Data Engineer jobs that match your skillset and domain. We offer only vetted, long-term projects that help you unleash your tech and soft skills. Learn more about available remote Senior Big Data Engineer vacancies on EPAM Anywhere.