Freelance and remote Python Engineer jobs

EPAM Anywhere is looking for remote and freelance Python Engineers.

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.

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senior data engineer (python, databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

India

We are seeking a talented remote Senior Data Engineer with strong experience in Data Software Engineering.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.

responsibilities

Design, develop and deploy high-performance data pipelines
Work with cross-functional teams to deliver complex projects
Develop, maintain and optimize ETL processes
Troubleshoot and optimize data pipeline processes
Create and maintain data models and databases

requirements

3+ years of software engineering experience
Good knowledge of Big Data technologies, primarily Spark
Experience with DSE Python, AWS, and Databricks
Familiarity with Python
Upper-Intermediate English level (B2+)

nice to have

Knowledge of Apache Spark and Apache Hive

senior data engineer python (databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

India

We are seeking a remote Senior Data Engineer with expertise in Python and Databricks to join our team.

The ideal candidate should be familiar with AWS and ETL/ELT solutions. The role requires excellent communication skills to collaborate efficiently with cross-functional teams.

responsibilities

Design and develop ETL processes for data integration
Deploy ETL models on scalable platforms
Automate and scale the current labeling process for increased efficiency
Collaborate with the client Scrum Master to provide updates and gather requirements
Participate in Scrum ceremonies to ensure timely deliverables

requirements

Minimum of 3 years of experience in data software engineering
Proficient in Python and Databricks
Strong knowledge of AWS and ETL/ELT solutions
Familiarity with SQL and GitLab
Excellent communication skills and ability to work in a team environment
Good written and verbal communication skills in English (B2+)

senior data engineer python (spark, databrick)

Data Software Engineering

Apache Spark, Microsoft Azure, Databricks

40 hrs/week

12+ months

India

We are seeking a skilled remote Senior Data Engineer Python to join our project team.

The ideal candidate is experienced in ML Engineering skills and can take data solutions built by data scientists and make them production-ready.

responsibilities

Collaborate with data scientists to create scalable and production-ready models
Build ETL pipelines using Python and other data engineering tools
Create and maintain database schemas and tables
Collaborate with cross-functional teams to identify and prioritize technical requirements
Write high-quality code that is scalable, robust and maintainable

requirements

At least 3 years of experience in Data Software Engineering
Proficient in Spark and Databricks, Python
Expertise in Azure and ADLS
Familiarity with ML tools space
Strong technical knowledge of Git and industry-standard data infrastructure
Upper-Intermediate level English (B2+)

nice to have

Knowledge of Panda and SQL for relational tables

senior big data engineer with python

Data Software Engineering

Databricks, Amazon Web Services, Python

40 hrs/week

12+ months

India

We are looking for an experienced remote Senior Big Data Engineer with a passion for data to develop, monitor, and operate the curated data pipeline for our project.

The ideal candidate has a strong background in Data Software Engineering and extensive experience with DSE Python AWS Databricks and SQL. In this position, you will be responsible for redeveloping legacy pipelines into new, advanced, and scalable versions, consulting with data scientists and product managers, building and improving KPIs, and maintaining our cloud-based tech stack.

responsibilities

Develop, monitor, and operate the most critical curated data pipeline in the project
Consult with data scientists and product managers to improve KPIs for business steering
Redevelop legacy pipelines into advanced, scalable versions that are easy to maintain
Leverage and improve our cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala
Build, monitor, and maintain Apache Airflow pipelines

requirements

Minimum of 3 years of experience in Data Software Engineering
Expertise in Apache Spark, Spark streaming, and Databricks
Fluency in Scala programming language and SQL
Experienced working with AWS landscape and Github
Ability to build Apache Airflow pipelines
B2+ English level

nice to have

Knowledge of Presto, Superset, and Starburst
Experience with Oracle & Exasol

lead data software engineer (python)

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Data Software Engineer to join our team, working with a leading provider of data-driven solutions for the finance industry.

In this position, you will be responsible for designing and implementing complex data pipelines, working with large data sets to create data-driven solutions that drive business value. You will work closely with cross-functional teams to understand business requirements and translate them into technical solutions, ensuring high-quality and scalable data engineering practices. If you are passionate about data engineering and have a proven track record of delivering high-quality solutions, we invite you to join our team.

responsibilities

Design and implement complex data pipelines, ensuring high-quality and scalable data engineering practices
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
Develop and maintain data processing applications and ETL processes, ensuring data accuracy and reliability
Lead and mentor junior engineers, providing guidance and support to ensure high-quality deliverables
Participate in code reviews, ensuring adherence to coding standards and best practices
Identify and solve complex data engineering challenges, leveraging your expertise in Big Data technologies
Contribute to the development of data governance and security policies, ensuring compliance with industry standards and regulations

requirements

A minimum of 5 years of experience in Data Software Engineering, with a focus on Big Data
1+ years of relevant leadership experience
Expertise in Apache Spark and Databricks, with practical experience in building data pipelines and ETL processes
Proficiency in programming languages such as Python and Scala, enabling you to write efficient and scalable code
Experience in working with Microsoft Azure, including data storage and compute services
Completed Databricks Data Engineering Professional certification
Strong problem-solving skills and a data-driven mindset, enabling you to identify and solve complex data engineering challenges
Excellent communication skills and the ability to collaborate effectively with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must-have

nice to have

Experience in working with other Big Data technologies, such as Hadoop or Hive
Practical experience in building data solutions for the finance industry
Experience in working with data visualization tools, such as Tableau or Power BI
Knowledge of machine learning algorithms and techniques

senior data engineer with python (databricks, aws)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

India

We are looking for an experienced remote Senior Data Engineer with Python, Databricks and AWS skills to join our team.

The right candidate enjoys working collaboratively to solve complex data engineering challenges that support our business needs.

responsibilities

Design, implement and maintain large-scale data pipelines using Python, Databricks
Work with cross-functional teams to integrate solutions that meet our data processing and analysis needs
Ensure performance, reliability, security and maintainability of data pipelines
Develop monitoring and alerting mechanisms to proactively identify and resolve issues
Continuously look for opportunities to improve data engineering processes and practices

requirements

Minimum of 3+ years with expertise in designing and maintaining large-scale data pipelines
Strong proficiency in Python and Databricks, (AWS) in production environments
Excellent understanding of Big Data technologies, primarily Spark
Strong understanding of data architecture and modelling concepts
Highly knowledgeable about data warehousing principles and practices
Upper-Intermediate level of English (B2+)

nice to have

Experience with Apache Hive

senior big data engineer (python)

Data Software Engineering

Amazon Web Services, PySpark, Python

40 hrs/week

12+ months

Colombia

We are looking for a highly skilled remote Senior Big Data Engineer to join our team and work on complex data engineering projects.

In this position, you will be responsible for building and maintaining data pipelines and infrastructure, integrating data within Kubeflow and Databricks using PyTorch and its ecosystem, and creating data tools for analytics and data scientist team members. The ideal candidate will have extensive experience in AWS, Python, Computer Vision, Machine Learning Engineering, SQL and NoSQL databases, and Terraform, and will be comfortable working in a fast-paced, dynamic environment.

responsibilities

Create and maintain optimal data pipelines for ingesting machine logs, image data, and various other types of datasets
Assemble large, complex data sets that meet functional and non-functional business requirements
Identify, design, and implement internal process improvements, such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python, SQL, Databricks Spark, and AWS 'big data' technologies
Build and enhance CVML pipelines, integrate data within Kubeflow and Databricks using PyTorch and its ecosystem
Work with stakeholders from the Product, Data, and Infra teams to assist with data-related technical issues and support their data infrastructure needs
Create data tools for analytics and data scientist team members that assist them in building and optimizing their workflows
Triage and fix support issues related to data anomalies

requirements

A minimum of 3 years of experience in Data Software Engineering, with a proven track record of delivering high-quality results
Extensive experience in Amazon Web Services (AWS), including EC2, S3, Lambda, and EMR
Expertise in PySpark, Python, and SQL databases, with a deep understanding of data structures and algorithms
Strong knowledge of Computer Vision and Machine Learning Engineering, with experience in building and enhancing CVML pipelines
Experience with Apache Kafka and NoSQL databases, such as MongoDB or Cassandra
Proficiency in Terraform for infrastructure as code
Excellent problem-solving skills and ability to work independently
Strong communication skills and ability to collaborate effectively with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher

nice to have

Experience with other big data technologies, such as Hadoop or Hive
Expertise in data visualization tools, such as Tableau or Power BI
Knowledge of DevOps practices and tools, such as Jenkins or GitLab
Experience with containerization and orchestration tools, such as Docker or Kubernetes
Familiarity with data privacy and security regulations, such as GDPR or CCPA

lead data software engineer (python, azure)

Data Software Engineering

Apache Spark, Databricks, Python

40 hrs/week

12+ months

Chile, Colombia

We are seeking a highly skilled remote Lead Data Software Engineer to join our team and contribute to the development of cutting-edge data solutions for our clients.

In this position, you will be responsible for designing and implementing complex data processing pipelines using Apache Spark and Databricks. You will work closely with cross-functional teams to design, develop, and deploy scalable and efficient data solutions that meet our clients' needs. If you are passionate about Big Data Engineering and have a proven track record of delivering high-quality data solutions, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement complex data processing pipelines using Apache Spark and Databricks
Work closely with cross-functional teams to design, develop, and deploy scalable and efficient data solutions that meet our clients' needs
Develop and maintain data architectures that support data processing, storage, and retrieval at scale
Collaborate with Data Scientists to implement machine learning models on Big Data platforms
Develop and maintain data quality checks and monitoring processes to ensure data accuracy and integrity
Lead and mentor a team of Big Data Engineers, providing guidance and support in their daily tasks
Stay up-to-date with the latest Big Data technologies and trends, and continuously improve our data engineering practices

requirements

Minimum of 5 years of experience in Data Software Engineering, with a focus on Big Data processing and analytics
1+ years of relevant leadership experience
Expertise in Apache Spark and Databricks, with demonstrated experience in designing and implementing complex data processing pipelines
Proficiency in at least one programming language, such as Python or Scala, and experience in building scalable and efficient data solutions
Experience in designing and implementing data architectures that support data processing, storage, and retrieval at scale
Strong understanding of data modeling, data warehousing, and ETL processes
Experience in working with large datasets and distributed systems
Excellent communication and team management skills, with a proven track record of leading cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher
Spanish language proficiency is a must-have

nice to have

Completed Databricks Data Engineering Professional certification
Experience with cloud technologies, such as Azure or AWS
Experience in data visualization and reporting tools, such as Tableau or Power BI
Experience in data security and compliance, including GDPR and HIPAA regulations

lead python developer

Data Software Engineering

Databricks, Elasticsearch, NoSQL Databases

40 hrs/week

12+ months

India

We are currently seeking a qualified Lead Python Developer to join our remote team.

In this position, you will be leading efforts on a cloud-based migration project with a leading healthcare provider. You will be responsible for building and developing applications to enrich, transform, and aggregate user data from new sources while maintaining data governance layers. If you are passionate about data engineering and have experience leading impactful projects, we invite you to apply for this exciting opportunity.

responsibilities

Lead efforts on a cloud-based migration project with a leading healthcare provider, including building and developing applications to enrich, transform, and aggregate user data from new sources
Maintain data governance layers, ensuring compliance with regulatory requirements
Collaborate with internal stakeholders from engineering, product, and business teams to support specific data needs on a global scale, based on specific requirements
Understand the challenges associated with working with data at scale, addressing specific issues as they arise
Develop knowledge and understanding of basic big data concepts, applying them to data engineering tasks
Learn new technologies and programming languages quickly, demonstrating adaptability in a dynamic environment
Actively participate in solving problems related to data engineering tasks and project requirements
Be creative about communicating changes and updates to a wide group of stakeholders, ensuring clear and effective communication channels

requirements

At least 5 years of experience as a Data Engineer, with a proven track record of leading successful projects for a minimum of 1 year
Bachelor's degree in a relevant field such as Computer Science, Software Engineering, or a related discipline
Strong knowledge of Python and SQL, demonstrating hands-on experience in data processing
Experience with Databricks, Elasticsearch, and NoSQL Databases
Experience working with AWS-based data solutions, including migration and implementation
Experience in CI/CD, showcasing versatility in software development practices
Ability to communicate effectively with stakeholders at all levels
Good spoken and written English at an Upper-Intermediate level or higher

nice to have

Proficiency in Amazon DynamoDB
Experience with Apache Hive, Apache Spark, and Redash

lead big data developer (python)

Data Software Engineering

Amazon Web Services, PySpark, Python

40 hrs/week

12+ months

Colombia

We are seeking a highly skilled remote Lead Big Data Engineer to join our team, working on a cutting-edge project that leverages computer vision and machine learning to provide innovative solutions for our clients.

In this position, you will be responsible for designing and implementing data pipelines, developing and maintaining data infrastructure, and collaborating with cross-functional teams to ensure seamless integration with the company's products and services. If you are passionate about data engineering and have a strong background in computer vision and machine learning, we invite you to apply for this exciting opportunity.

responsibilities

Design and implement data pipelines, data infrastructure, and data storage solutions, ensuring scalability and performance
Collaborate with cross-functional teams to integrate data solutions with the company's products and services
Develop and maintain data infrastructure, ensuring data quality, consistency, and reliability
Lead and mentor a team of data engineers, providing guidance and support to ensure high-quality deliverables
Optimize data processing and analysis using PySpark and Python, and develop and deploy computer vision and machine learning models
Conduct code reviews and ensure adherence to best practices and coding standards

requirements

A minimum of 5 years of experience in Data Software Engineering, showcasing your expertise in designing and implementing data pipelines, data infrastructure, and data storage solutions
1+ years of relevant leadership experience
In-depth knowledge of Amazon Web Services, including experience with core services such as EC2, S3, and Lambda
Expertise in PySpark and Python, with a solid understanding of data processing and analysis
Strong background in computer vision and machine learning engineering, with experience in building and deploying models
Experience with distributed computing frameworks such as Apache Spark and Hadoop, and the ability to optimize performance and scalability
Excellent communication skills and the ability to collaborate effectively with cross-functional teams, including data scientists, product managers, and software engineers
Ability to lead and mentor a team of data engineers, providing guidance and support to ensure high-quality deliverables
Fluent spoken and written English at an upper-intermediate level or higher

nice to have

Experience with data visualization tools such as Tableau or Power BI
Knowledge of natural language processing and text analytics
Experience with containerization and orchestration technologies such as Docker and Kubernetes

Python Engineer Remote Jobs at EPAM Anywhere

In 2021, Python celebrates its 30th birthday. Since this programming language was introduced to the IT community, it's been taking over many spheres of web development, including Data Science and Machine Learning. Developers appreciate Python for its wide community and plenty of ready-made solutions and libraries that speed up the development process and help newbie developers solve basic tasks without sufficient mathematics skills. As a result, Python rarely leaves the top of programming languages ratings.

At EPAM Anywhere, you can find plenty of jobs for Python Software Engineers in global projects for worldwide-renown companies. If you're a freelance Python Engineer looking for remote work in long-term projects with social benefits and vast career growth opportunities, read on. In our post, we'll uncover key skills for Python Engineers at EPAM Anywhere and their main responsibilities.

What qualifications and skills for a freelance Python Engineer at EPAM Anywhere

For our projects, we mostly hire Python Software Engineers with exceptional soft and hard skills. Since tasks and required qualifications range from one project to another, there's always a defined set of key skills a savvy Python Engineer must have. Obligatory hard skills for a Python Engineer include hands-on experience with Python development, Django framework, libraries, and object-oriented programming principles (OOP) in Python. Other skills we're seeking in our candidates are as follows:

Excellent knowledge of software engineering practices: code standards, code review, and release strategy.
CI/CD practices and deployment.
Firsthand experience with unit and API testing.
Knowledge of troubleshooting and monitoring aspects.
Knowledge of estimation techniques.
Experience with common Agile methodologies like Scrum and Kanban.
Database development.

Additionally, most Python Engineer jobs require the following soft skills:

Basic business communication skills, including conversation management, presentation skills, and conflict resolution.
Self-efficiency to handle remote work: time management, self-management, and adaptability to changing working environments.
People development, including mentoring, emotional intelligence, and team engagement capabilities.
English level: at least Upper-Intermediate.

Key responsibilities for a Python Software Engineer

Typical duties for Python Engineer jobs comprise web application development in Python, integrating applications with third-party services and APIs, and writing documentation for new pieces of software.

Other responsibilities include:

Software testing including white-box testing.
Data analysis to develop applications that recognize faces, images, or voices.
Writing and administration of scripts and parsers.
Multi-threading applications development.

Getting a Python Engineer job at EPAM Anywhere

EPAM Anywhere is a platform with long-term projects on the remote. Once you join our platform, we'll choose the suitable project where you'll grow professionally and get a chance to skyrocket your career with the help from our Skill Advisors and Resource Managers. On top of that, we offer social benefits, relocation opportunities, and certification support for Python Software Engineers.

Freelance and remote Python Engineer jobs

Python Engineer Remote Jobs at EPAM Anywhere

What qualifications and skills for a freelance Python Engineer at EPAM Anywhere

Key responsibilities for a Python Software Engineer

Getting a Python Engineer job at EPAM Anywhere

Related skills