Senior Software Engineer Remote Jobs

EPAM Anywhere is looking for remote Senior Software 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 data software engineer

Data Software Engineering

Python, PySpark, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Software Engineer to join our team, working with a leading provider of automotive solutions that simplify the trusted exchange and mobility of vehicles.

We are seeking a highly skilled Senior Data Software Engineer to join our remote team, working with a leading provider of automotive solutions that simplify the trusted exchange and mobility of vehicles. As a Senior Data Software Engineer, you will play a crucial role in developing and implementing data-driven solutions that lead our Client's business forward. You will work closely with cross-functional teams to design, develop, and deploy scalable data pipelines and machine learning models, leveraging your expertise in Python, PySpark, and Amazon Web Services.

responsibilities

Design and develop scalable data pipelines and machine learning models, leveraging your expertise in Python and PySpark
Implement data ingestion from multiple sources, including databases, APIs, and streaming platforms, ensuring data quality and reliability
Ensure data security and compliance by implementing best practices and following industry standards
Participate in code reviews and contribute to the development of best practices and standards for data engineering
Mentor junior engineers and provide guidance and support to help them grow their skills and expertise

requirements

A minimum of 3 years of experience in Data Software Engineering, showcasing your proficiency in developing and deploying data-driven solutions
Expertise in Python and PySpark, enabling you to design and implement complex data pipelines and machine learning models
Experience with Amazon Web Services, including Lambda, S3, SageMaker, Glue Job, VPC, and API Gateways
Strong understanding of containerized models and their deployment in production environments
Fluent spoken and written English at an upper-intermediate level or higher

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader in data-driven solutions. We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Developing a POC for replacement of the external vendor inside the infrastructure
Setting up required Azure services
Extracting data from data lake (EDL)
Processing data based on application requirements and architecture
Building the service layer to mimic the current existing application
Prioritizing and ensuring high-quality standards at every stage of development
Guaranteeing reliability, availability, performance, and scalability of systems
Collaborating with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Providing technical input for new feature requirements, partnering with business owners and architects
Ensuring continuous improvement by staying abreast of industry trends and emerging technologies

requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in PySpark and Python for Data Engineering
Experience with Azure technologies, including SQL Azure and Microsoft Azure for building scalable data solutions
Solid experience working with Databricks for building data pipelines
Knowledge of Python web services like Django and Flask
Advanced SQL data processing experience for designing and managing database schema, including procedures, triggers, and views
Support applications and systems in a production environment, ensuring timely resolution of issues
Reviewing requirements and translating them into a documented technical design for implementation
Expertise in creating data POCs
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Big Data technologies like Hadoop and Spark Streaming is a plus
Familiarity with machine learning concepts and libraries such as Scikit-learn is an advantage

senior data software engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are in search of an exceptionally talented Senior Data Software Engineer to join our remote team and aid our client's Data Science squads in constructing datamarts and fulfilling ad-hoc requests as required.

As a Senior Data Software Engineer, your role involves collaborating with a group of skilled professionals to create and sustain data pipelines, ETL processes, and REST APIs. Your responsibilities extend to ensuring the scalability, effectiveness, and dependability of our data solutions. Furthermore, you'll be tasked with providing on-call support to guarantee the seamless functioning of these solutions.

responsibilities

Collaborate with Data Science teams to construct datamarts and fulfill ad-hoc requests as necessary
Develop and manage data pipelines, ETL processes, and REST APIs to facilitate efficient data processing and delivery
Verify the scalability, efficiency, and reliability of our data solutions
Provide on-call support to uphold the smooth operation of our data solutions
Work alongside cross-functional teams to deliver top-notch data solutions in accordance with project objectives and timelines
Regularly assess industry trends and optimal practices, refining and implementing cutting-edge data engineering strategies
Offer guidance and mentorship to junior team members, nurturing a culture of continuous learning and growth within the team
Engage directly with clients, comprehending their requirements, and deliver well-suited, efficient solutions
Collaborate with stakeholders, showcasing outstanding communication and leadership skills

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering, contributing to large-scale data projects and intricate data infrastructures
Demonstrated expertise in constructing and sustaining data pipelines, ETL processes, and REST APIs
Proficiency in Amazon Web Services, specifically focusing on data-related services like Redshift, S3, and Glue
Substantial familiarity with Apache Airflow and Apache Spark, utilizing them for data processing and pipeline automation
Adeptness in Python and SQL for the purpose of data processing
Experience with Databricks and PySpark for efficient pipeline automation
Familiarity with CI/CD tools to ensure the streamlined delivery of data solutions
Robust analytical skills, enabling effective troubleshooting and decision-making in intricate data environments
Ability to convey technical concepts clearly to a non-technical audience
Advanced English language proficiency (Upper-Intermediate level), enabling effective written and verbal collaboration in team meetings and discussions with stakeholders

nice to have

Experience with Redshift for data warehousing and management

senior data software engineer

Data Software Engineering

Python, Amazon Web Services, Snowflake

40 hrs/week

12+ months

Poland

Join our team as a Senior Data Software Engineer to work on a project for a global leader in the logistics industry.

Join our team as a Senior Data Software Engineer to work on a remote project for a global leader in the logistics industry. We are looking for a highly skilled individual with extensive experience in Data Software Engineering to develop and maintain scalable data solutions. As a Senior Data Software Engineer, you will work with cross-functional teams to design, develop and implement data models and architectures that meet business requirements.

responsibilities

Design, develop, and maintain scalable data solutions that meet business requirements
Develop and maintain data pipelines to facilitate accurate and efficient data transfers
Collaborate with cross-functional teams to develop data models and architectures
Ensure data integrity and security while optimizing performance
Perform data analysis to identify trends and insights
Create and maintain technical documentation
Provide technical guidance to junior team members

requirements

Minimum of 3 years of experience as a Data Software Engineer
Extensive hands-on experience with Python
Hands-on experience with Amazon Web Services (AWS) and Snowflake
Comprehensive understanding of data modeling, database design and data architecture principles
Experience with big data technologies such as Hadoop, Spark and Kafka
Strong command of SQL and experience with databases like MySQL, PostgreSQL and Oracle
Excellent analytical and problem-solving skills
Upper-Intermediate level of English language skills

nice to have

Experience with data visualization tools such as Tableau or Power BI
Experience with Git and CI/CD tools

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a company that specializes in analytical development and data engineering. We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic development environment.

responsibilities

Design and develop data pipelines using Databricks workflows and APIs such as S3, PBI, REST, etc
Ensure high-quality standards at every stage of development and deployment
Guarantee reliability, availability, performance, and scalability of systems
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in data software engineering
Be hands-on with deep expertise in building data pipelines using SQL and one or more languages from Python, Spark, PySpark
Experience with Databricks and Microsoft Azure for building and deploying data solutions
Expertise in developing end-to-end production solutions with a focus on cloud platforms, with a strong preference for Azure
Experience with Git, Azure DevOps, or GitHub for version control and collaboration
Ability to tie loose ends together for solutions across systems, ensuring reliability, availability, performance, and scalability of systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Azure DevOps and GitHub for version control and collaboration
Experience with other cloud platforms such as GCP and AWS

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer

Join our remote team as a Senior Data Software Engineer. As a hands-on engineer, you will work closely with data scientists and other technical staff to develop and optimize features, ensuring the solution is production-ready. You will also have the opportunity to collaborate with product leadership and other stakeholders to create innovative and impactful solutions in a dynamic Agile development environment.

responsibilities

Collaborate with data scientists and technical staff to ensure that data integration solutions are production-ready
Design and develop new features using the Agile development process (Scrum)
Prioritize and ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of data systems
Maintain and troubleshoot code in large-scale, complex environments.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of experience in Data Software Engineering, with a focus on building and deploying data integration solutions
Deep expertise in Apache Spark and Databricks for building scalable and high-performance applications
Hands-on experience with Microsoft Azure for cloud-based infrastructure and application management
Expertise in Python for developing data integration solutions, including Forecasting Models and MLOps
Experience with Data Science, including knowledge of ML and statistical models
Familiarity with Git for version control, integration, and deployment
Excellent troubleshooting and problem-solving skills to support applications and systems in a production environment
Experience with SQL Databases for designing and managing database schema, including procedures, triggers, and views
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Knowledge of Pandas for data manipulation is a plus
Familiarity with basic Azure concepts such as clouds, regions, ADLS, and compute

senior data software engineer

Data Software Engineering

Big Data, Python, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a talented Senior Data Software Engineer to join our team and work on innovative projects that aim to improve people's lives through vision and eye care products.

We are seeking a talented Senior Data Software Engineer to join our remote team and work on innovative project that aims to improve people's lives through vision and eye care products. As a senior member of our team, you will be responsible for designing and implementing scalable data software solutions that leverage Big Data technologies and Amazon Web Services. If you have a passion for using data to drive business decisions and a strong background in data engineering, we encourage you to apply.

responsibilities

Design, develop and implement data software engineering solutions for our client
Collaborate with cross-functional teams to identify data-driven business requirements and translate them into technical solutions
Perform data analysis and develop data pipelines to support data-driven decision-making processes
Ensure data quality and integrity by implementing appropriate data governance policies and procedures
Optimize data processing and storage solutions for performance and scalability
Create and maintain ETL processes to extract, transform and load data from various sources

requirements

Minimum of 3 years of experience in Data Software Engineering
Strong proficiency in Python and experience with Apache Spark (PySpark)
Expertise in working with Amazon Web Services, including CLI, S3, Glue, Lambda, Athena
Comprehensive understanding of columnar-based file types and unit testing
Experience with SQL and relational databases
Fluent English language skills with an Upper-Intermediate level

nice to have

Experience implementing solutions in accordance with IaC (Infrastructure as Code) principles

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader in digital transformation and technology services. We are looking for an experienced software developer with a strong background in data engineering to join our team. The ideal candidate will be responsible for implementing reusable DataBricks components for data ingestion and data analytics. They will have experience ingesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modeling, as well as establishing security controls, integration with data governance, and clear auditable data lineage. The Senior Data Software Engineer will work collaboratively with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specifications.

responsibilities

Implementing reusable DataBricks components for data ingestion and data analytics
Ingesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modeling
Establishing security controls, integration with data governance, and clear auditable data lineage
Collaborating with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specifications
Participating in code review and testing solutions to ensure they meet best practice specifications
Writing project documentation to ensure that other developers can easily understand and use the code
Building collaborative partnerships with architects, technical leads, and key individuals within other functional groups
Continuously updating skills and knowledge to keep up with industry trends and best practices

requirements

At least 3+ years of experience in software engineering with a focus on data engineering
Proficient in Python coding and PySpark development
Experience building data ingestion pipelines, Data Warehouse or Database architecture.
Hands-on experience with modern Big Data components like Databricks, SQL Azure, and Microsoft Azure
Experience in designing, deploying, and administering scalable, available, and fault-tolerant systems in a cloud environment
Strong ability to write clean, maintainable, and well-documented code
Experience in data modeling and working with data-oriented personality and compliance awareness, such as PI, GDPR, and HIPAA
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Power BI, Azure Synapse Analytics, and ADLS is a plus

senior devops engineer for software company

DevOps

Communication, Continuous Delivery Development & Maintenance, Continuous Integration

40 hrs/week

12+ months

India

Currently, we are looking for a remote Senior DevOps Engineer to join our team.

responsibilities

Create, maintain and update Chef cookbooks coded in Ruby language
Troubleshoot any issues when Halo (Build system) environments fail to be created automatically
Manage the Infrastructure as Code, following all the best practices of Agile Software Development
Support the software engineers in the use of systems and tools
Work closely with the security and SRE teams to ensure the compliance of the solutions

requirements

3+ years of relevant experience
Strong communication and Support role soft skills
Infrastructure as Code experience (IaC)
Continuous Delivery Development & Maintenance
Continuous Integration
Jira
Object-oriented Programming

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a leading provider of AI-based solutions for industries. We are seeking a hands-on developer with deep expertise in building data pipelines, deploying to production, and working within a cloud platform. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Design and implement data pipelines using the Agile development process (Scrum)
Ensure high-quality standards at every stage of development
Guarantee reliability, availability, performance, and scalability of data pipelines
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in Data Software Engineering
Be hands-on with deep expertise in cloud-based platforms, with a strong preference for Microsoft Azure
Deep expertise in one or more of the following languages: Python, Spark, PySpark, SQL, with knowledge on how to build both within dev and enabling deployment to production
Experience building out robust data pipelines
Experience using Databricks for data engineering and processing
Experience using Azure DevOps, GitHub, or other version control tools
Experience with developing end-to-end production solutions
Ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with big data technologies such as Hadoop, Hive, and Kafka
Experience with Azure Data Factory or other ETL tools

Senior Software Engineer Remote Jobs

Other skills