Freelance and remote Build Engineer jobs

EPAM Anywhere is looking for remote and freelance Build 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.

senior cloud engineer (azure)

Microsoft Azure

Docker, Git, Helm

40 hrs/week

12+ months

India

We are looking for a skilled remote Senior Cloud Engineer with expertise in Microsoft Azure to join our team.

As a Senior Cloud Engineer, you will be responsible for designing, building, and implementing highly complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service. The ideal candidate should be experienced in containerization technologies, including Docker, Kubernetes, and Helm, with excellent knowledge of Python and Azure Machine Learning Pipelines (AML). Knowledge and experience with machine learning are a plus.

responsibilities

Collaborate with Machine Learning Scientists and Engineers to design, build, and implement complex machine learning systems using Spark and TensorFlow in Azure Kubernetes Service
Design and implement CI/CD pipelines using Azure DevOps
Containerize technologies using Docker, Kubernetes, and Helm, and deploying them to services such as AKS
Develop Azure Machine Learning Pipelines when required
End-to-end testing, monitoring, and alerting for new components and data pipelines

requirements

Minimum 3 years of experience in Cloud Engineering with expertise in Microsoft Azure
In-depth knowledge of Docker, Kubernetes, and Helm
Strong proficiency in Python and core Cloud technologies, including Apache Spark and Azure Databricks
Experience with CI/CD pipelines using Azure DevOps
Upper-Intermediate level of English proficiency (B2+)

nice to have

Experience with Azure Kubernetes Service and Azure Machine Learning (AML) pipelines
Knowledge and experience with machine learning
Experience with Terraform

senior data software engineer

Data Software Engineering

Python, Amazon Web Services, AWS Glue

40 hrs/week

12+ months

India

We are seeking an experienced Senior Data Software Engineer to join our team, working with one of the largest provider of mutual and exchange-traded funds in the world.

We are seeking an experienced Senior Data Software Engineer to join our remote team, working with one of the largest provider of mutual and exchange-traded funds in the world. In this role, you will be responsible for developing microservices and REST APIs for sharing with other risk rule engines, building data pipeline infrastructure, and developing business capabilities on top of this infrastructure. If you have a passion for data software engineering and are looking to work with a dynamic organization, we would love to hear from you.

responsibilities

Develop microservices and REST APIs for sharing with other risk rule engines
Build data pipeline infrastructure using LET and data warehousing
Develop business capabilities on top of the data pipeline infrastructure
Create technical, operational, and management level reports and dashboards using Clouds and Monitoring tools
Collaborate with cross-functional teams to understand business requirements and user needs
Participate in design reviews, offering input on requirements, product design, and potential challenges

requirements

A minimum of 3 years of experience in Data Software Engineering, demonstrating your proficiency in developing data pipelines and REST APIs
Strong experience with Python and AWS services (AWS Glue, Amazon S3, Amazon EMR, AWS Lambda, AWS Simple Notification Service, Amazon Kinesis), enabling you to build high-quality data pipelines and dashboards
Experience with Apache Airflow and Databricks, allowing you to schedule business processes effectively
Experience with Load, Extract, Transform (LET) and data warehousing, demonstrating your ability to build scalable data pipelines
Excellent communication skills and ability to collaborate with cross-functional teams
Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication

nice to have

Experience with Apache Kafka or other messaging systems
Experience with containerization technologies such as Docker and Kubernetes
Understanding of financial services and investment products

senior data engineer

Data Software Engineering

Apache Spark, Databricks, SQL

40 hrs/week

12+ months

Greece

We are looking for a remote Senior Data Engineer to make the team even stronger.

responsibilities

Develop, monitor, and operate the most used and most critical curated data pipeline - Sales Order Data (incl. Post-order information, e.g. shipment, return, payment). This pipeline is processing hundreds of millions of records to provide high-quality datasets for analytical and machine learning use-cases
Consulting with analysts, data scientists, and product managers to build and continuously improve "Single Source of Truth" KPI for business steering such as the central Profit Contribution measurement (PC II)
Leverage and improve a cloud-based tech stack that includes AWS, Databricks, Kubernetes, Spark, Airflow, Python, and Scala

requirements

3+ years of relevant experience
Expertise in Apache Spark along with Spark streaming & Spark SQL
Good hands on experience with Databricks and delta-lake
Fluency in Scala programming language
Good understanding & hands-on experience with CI/CD
Rich working experience with Github
Fluency working with AWS landscape
Ability to build Apache Airflow pipelines
Upper-intermediate or higher English level, both spoken and written (B2+)

nice to have

Presto
Superset
Starburst
Exasol

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 data software engineer

Data Software Engineering

Python, PySpark, Databricks

40 hrs/week

12+ months

India

We are seeking a highly skilled Senior Data Software Engineer to join our team, working with one of the biggest sportswear brands in the world.

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working with one of the biggest sportswear brands in the world. As a Senior Data Software Engineer, you will play a crucial role in designing, developing, and maintaining data engineering solutions. You will be responsible for building scalable and reliable data pipelines, ensuring data quality, and optimizing data processing performance. If you have a passion for data engineering and are excited about working with cutting-edge technologies, we invite you to join us.

responsibilities

Design, implement, test and deliver robust, scalable and reusable data processing and ETL solutions
Automate data extraction, transformation and provisioning, irrespective of type of source and target
Participate in testing activities, create own test cases, manage test data, set up environments
Drive collaborative reviews of design, code, test cases and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Mentor and develop other data engineers in adopting best practices
Represent the team as technical ambassador

requirements

A minimum of 3 years of experience in Data Software Engineering, showcasing your expertise in designing and developing data engineering solutions
Strong proficiency in Python, PySpark, Databricks, enabling you to build scalable and reliable data pipelines
Solid understanding of data structures and algorithms, enabling you to optimize data processing performance
Good knowledge of Amazon Web Services (AWS) or other cloud platform tools
Experience working with Data warehousing tools, including Dynamo DB, Amazon Redshift, and Snowflake
Average CI/CD knowledge and experience using CI tools like Jenkins
Good testing experience with some of the most common tools in the market (PyTest, Nose, Cucumber, JBehave, etc.)
Fluent spoken and written English at an Upper-Intermediate level or higher, enabling effective communication

nice to have

Experience in building and deploying machine learning models
Familiarity with Apache Airflow or other workflow management tools

senior data software engineer

Data Software Engineering

Databricks, Python, Microsoft Azure

40 hrs/week

12+ months

India

We are looking for a remote Senior Data Software Engineer who can help us build an Enterprise Data Platform and Data Products on top of it.

The ideal candidate should have previous experience in building Data Platforms at big companies and be able to implement Big Data high-performance solutions with primary skills in Azure Databricks and Python. The candidate should have knowledge and, preferably, experience with Event-driven architecture and Azure Big Data Services.

responsibilities

Build and manage Enterprise Data Platform and Data Products on top
Develop and implement Big Data high-performance solutions
Collaborate with cross-functional teams to design and build scalable data solutions
Ensure data quality, security, and compliance throughout the data lifecycle
Stay up-to-date with new technologies and industry trends related to Data Software Engineering

requirements

At least 3 years of experience in building Data Platforms at big companies
Strong experience with Azure Databricks, Python, and Azure Big Data Services
Knowledge and experience with Event-driven architecture
Strong background in Big Data and experience with Big Data high-performance solutions
Familiarity with technologies such as Azure data factory, Databricks, azure data lake, data API, Python PySpark, Kafka, and SQL
B2+ English level

nice to have

Familiarity with other Data Software Engineering tools and platforms

senior data engineer with databricks

Data Software Engineering

Databricks, Amazon Web Services, Python

40 hrs/week

12+ months

India

We are seeking a remote Senior Data Engineer with strong skills in Data Software Engineering, specifically in Databricks.

The role will involve designing, developing, and implementing data engineering solutions using Azure Data Factory, Python, and SQL. The ideal candidate will collaborate with the team to identify and resolve complex data engineering issues and provide coaching and guidance for junior data engineers.

responsibilities

Design, develop, and implement data engineering solutions using Azure Data Factory, Python, and SQL
Build and optimize data pipelines, data ingestion, and data transformation processes
Create technical documentation for data engineering solutions, data flows, and data models
Collaborate with the team to identify and resolve complex data engineering issues
Provide coaching and guidance for junior data engineers on the team

requirements

Minimum of 3 years of experience in developing Data Software Engineering solutions using Databricks, Azure Data Factory, Python, and SQL
Strong experience with cloud-based platforms such as Azure, AWS, or GCP
Knowledge of Big Data technologies such as Hadoop, Hive, Spark, or Kafka
Excellent analytical and problem-solving skills
Demonstrated communication and collaboration skills
B2+ English level

nice to have

Experience with SQL

senior big data engineer with databricks

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are looking for an experienced remote Senior Big Data Engineer with expertise in Databricks to lead our team of data engineers and take responsibility for designing and implementing data management solutions.

The successful candidate will be familiar with cloud-based data pipeline development and have experience building optimal data infrastructure solutions.

responsibilities

Lead a team of data engineers, organize teamwork, and solve technical and non-technical challenges
Design key software components of the data platform, and build collaborative partnerships with architects and technical leads
Create and maintain optimal on-prem and cloud-based data pipeline architectures capable of ingesting structured and unstructured data using batch & streaming methods
Assemble large, complex data sets that meet functional and technical requirements, and develop data flows that can leverage both on-premise and cloud architectures
Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

requirements

Bachelor's degree in Computer Science, Information Systems, or another applicable field is preferred
At least 3 years of experience in a Data Engineer role
Advanced working knowledge of cloud-based data pipeline development, particularly on AWS
Experience building and optimizing data pipelines for data acquisition and management
Expertise in Databricks, Python, SQL, and AWS
B2+ English level

nice to have

Understanding of message queuing, stream processing, and Change Data Capture mechanisms

senior big data engineer with databricks

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are seeking a highly proficient remote Senior Big Data Engineer with extensive experience in Databricks, Python, AWS, and Data Warehousing.

The ideal candidate should be well-versed in software development lifecycle methodologies and proficient in advanced SQL coding. As a Senior Big Data Engineer, you will be responsible for developing and implementing scalable and resilient systems, utilizing data lake solutions, and stream processing engines to meet business goals.

responsibilities

Develop and implement scalable, resilient systems utilizing Data Lake solutions
Participate in the full software development lifecycle (SDLC) utilizing Agile methodologies
Build and maintain data pipelines using stream processing engines such as Kafka, Spark, etc.
Perform advanced data analysis and modeling using relevant programming languages
Ensure data quality and integrity through proper testing and validation techniques

requirements

Bachelor's/Master's Degree in Computer Science, Information Systems, or equivalent
At least 3 years of relevant experience in Data Software Engineering
Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development
Extensive experience in Databricks, Python, AWS, and Data Warehousing
Advanced SQL coding skills
B2+ English level

nice to have

Experience with Apache Airflow and Apache Spark
Expertise in Relational Database Design

senior cloud engineer

DevOps

CI/CD, Cloud Infrastructure Provisioning, Docker

40 hrs/week

12+ months

Poland, Ukraine

We are looking for a remote Senior Cloud Engineer to join our team and help develop and design systems that are resilient and perform at scale.

In this position, you will research, develop, and introduce new technologies for our infrastructure, improving the workflows for all of our products. You will also be responsible for building and maintaining our Azure/AWS infrastructure and overseeing and monitoring issues across our applications. Additionally, you will help anticipate business requirements and translate these into actionable technical tasks.

responsibilities

Collaborate with engineering teams to design and develop systems that are resilient and perform at scale
Research, develop, and introduce new technologies for infrastructure, improving workflows for all products
Build and maintain Azure/AWS infrastructure
Oversee and monitor issues across applications
Anticipate business requirements and translate them into actionable technical tasks

requirements

3+ years of experience as a Cloud/DevOps Engineer or similar role
Expertise with containerization using Kubernetes and Docker
Experience with Continuous Integration/Continuous Development (CI/CD) using tools like GitHub Actions
Strong understanding of cloud infrastructure provisioning, including Ansible
Excellent communication skills, both written and verbal, in English at an upper-intermediate level

nice to have

Proven experience working with cloud service providers such as Azure/AWS
Experience with scripting languages such as Python, JavaScript, and Shell
Expertise with Helm and Terraform
Experience with Splunk or other log analysis tools

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Remote Build Engineer Jobs at EPAM Anywhere

Tech jobs are some of the highest paying, and the fastest growing in nearly every industry, and Build Engineer jobs are in line with that trend. Experts project a 22% percent job growth rate in the Build Engineer profession between 2019 and 2029 in the US only.

Their critical role in ensuring that source codes are placed under the supervision of version control applications, establishing bug tracking tools, documenting policies for code branching and merging, and setting up automation servers, means that Software Build Engineers are the key to improving software quality across all stages of the product life cycle. A good DevOps Build Engineer can also increase the overall productivity of a software development firm.

Given the importance of their role in a development project, we want to find the best DevOps Build Engineers to join our global team. So, are you a problem solver? Do you have the necessary experience? If yes, then take the first step to become one of our Build Engineer experts.

Core skills associated with a Build Engineer job

As a result of the increasing number of professionals in the Build Engineer job hunt, we screen our candidates carefully to select those of the highest quality. To that end, we’ve identified some of the core skills required of a software build engineer at EPAM Anywhere, including:

comprehensive knowledge of Python coupled with substantial hands-on experience
understanding of quality assurance procedures
proven practical code review skills
proficiency with the Linux operating system
background working with Jira
command of continuous integration processes
demonstrated experience with Jenkins
history of working with GIT

Soft skills

The non-technical skills required for our Build Engineer jobs include:

excellent interpersonal skills
superior analytical skills
high tolerance for stress
desire to continue learning and improving
adaptability
commitment to meeting deadlines
motivation and discipline
strong leadership skills

Responsibilities of a Software Build Engineer

As a seasoned Build Engineer, at EPAM Anywhere you are responsible for:

using binary repositories like JFrog artifactory to store the application artifacts for improved access
employing monitoring tools to ensure the smooth operation of servers and applications
applying scripting and automation tools to automate manual build processes
using bug tracking and knowledge sharing tools for comprehensive cooperation
ensuring that products are released on time
setting up build automation servers like Jenkins or Circle CI for continuous delivery and integration

Advantages of Release Engineer jobs at EPAM Anywhere

If you have superior software build engineer skills, there may be a number of positions available to you. You’ll want to make sure that you choose the one that suits you best. To help you make that decision, consider the advantages of being an EPAMer. The perks of working with us include:

Flexible working conditions

It's clear that most people prefer alternatives to a relentless daily commute to work. For many people, remote work is a luxury, not an achievable reality. Luckily for you, our software Build Engineer job offers you the freedom of choice. You can choose your engagement type, your benefits options and many more aspects of your job. We take the job satisfaction of our team members just as seriously as their talent.

Varied career growth opportunities

Since excelling in a DevOps Engineer job requires constant learning and improvement, we've compiled more than1000 different kinds of learning materials as well as certificate programs to support your career growth. So why not start your journey now?

Freelance and remote Build Engineer jobs

Remote Build Engineer Jobs at EPAM Anywhere

Core skills associated with a Build Engineer job

Soft skills

Responsibilities of a Software Build Engineer

Advantages of Release Engineer jobs at EPAM Anywhere

Flexible working conditions

Varied career growth opportunities

Related skills