Software Engineer Remote Jobs

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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

lead data software engineer

Data Software Engineering

Amazon Web Services, Apache Airflow, Apache Spark

40 hrs/week

12+ months

India

We are in search of a skilled Lead Data Software Engineer for a remote position, ready to contribute to our team's success and bolster our Data Science endeavors.

As the Lead Data Software Engineer, you'll be instrumental in crafting and sustaining datamarts, ensuring the delivery of efficient and scalable data solutions that meet the unique needs of our clients. Your primary focus will revolve around constructing and maintaining data pipelines, offering on-call support, and fostering collaboration with Data Science teams to deliver top-tier solutions. Additionally, you'll be tasked with steering a group of proficient professionals, providing mentorship and guidance to empower them to produce cutting-edge solutions for the industry.

responsibilities

Guide and nurture the Data Software Engineering team, cultivating a culture of continual learning and growth within the unit
Collaborate with interdisciplinary teams to furnish top-notch data solutions aligning with project objectives and timelines
Forge and uphold robust Data Software Engineering processes and practices emphasizing automation, innovation, and efficiency
Ensure the realization and upkeep of streamlined and scalable data solutions utilizing AWS services
Supervise the fine-tuning of data processing and workflow management through Apache Airflow and Apache Spark
Consistently assess industry trends and best practices to enhance and implement the most potent Data Software Engineering strategies
Provide on-call assistance for data pipelines and datamarts
Direct the team in crafting and deploying REST APIs for seamless data integration and communication
Engage directly with clients to comprehend their requirements and deliver tailored, effective solutions
Steer the organization and structure of the team, guaranteeing the prompt and efficient delivery of projects
Collaborate with stakeholders, showcasing excellent communication and leadership skills

requirements

A minimum of 5 years of experience as a Data Software Engineer, engaged in substantial projects and intricate data infrastructures
At least 1 year of confirmed leadership experience, adeptly managing and motivating a team of Data Software Engineers
Proficiency in Amazon Web Services, encompassing the design and implementation of scalable and effective data solutions
Substantial expertise in Apache Airflow and Apache Spark, ensuring streamlined data processing and workflow management
Advanced familiarity with at least one CI/CD tool, preferably Jenkins, for the efficient delivery of data pipelines
Proficiency in Python and SQL, facilitating the creation and upkeep of data pipelines and ETL processes
Experience with Databricks and PySpark for data processing and analysis
Acquaintance with REST APIs for seamless data integration and communication
Robust analytical skills, empowering adept problem-solving and decision-making in intricate environments
Effective client-facing skills, facilitating clear communication and collaboration to attain project objectives
Exceptional organizational and structuring abilities, championing the efficient delivery of projects
Upper-intermediate proficiency in the English language, enabling clear collaboration, presentation, and discussion with the team and stakeholders

nice to have

Background with Redshift for data warehousing and analysis

middle software engineer

.NET

Angular, ReactJS, JavaScript

40 hrs/week

12+ months

India

We are seeking a highly experienced Middle Software Engineer to join our remote team, contributing to the development of innovative software solutions for our clients.

In this role, you will be responsible for designing, developing, and implementing software solutions using .NET, Angular, ReactJS, and JavaScript. You will work closely with cross-functional teams to ensure the delivery of high-quality software products that meet client requirements and expectations.

responsibilities

Develop and maintain software applications using Angular/React and .NET platforms, ensuring scalability, reliability, and performance
Provide technical guidance and mentorship to junior developers, fostering a culture of continuous learning and development
Collaborate with Product Managers, Designers, and Business Analysts to understand product requirements and user needs
Contribute to the development and maintenance of software documentation, including technical specifications, user manuals, and other relevant materials

requirements

A minimum of 2 years of experience in software development, with a strong focus on front-end development and JavaScript
Expertise in Angular/React and .NET platforms, showcasing your comprehensive understanding of the development landscape
Strong understanding of Object-Oriented Design (OOD) principles and Unit Testing (UT)
Experience in SQL, enabling you to effectively manage databases and related tasks
A focus on quality, with a demonstrated track record of delivering high-quality software solutions
Fluent English

senior java software engineer for a software company

Java

Amazon Web Services, General Management

40 hrs/week

12+ months

Poland

We're looking for a remote Senior Software Engineer with 5+ years of industry experience working as a software engineer, fluency in Java Programming and experience in building Cloud platform services for large scale systems to join our team.

The customer is an Australian software company that develops products for software developers and project managers.

responsibilities

Write high-quality code
Offer good solutions for business problems
Work together with other team members on achieving common goal
Perform code review of other team members
Provide estimates for tasks
Communicate with the customer when it is required
Meet deadlines

requirements

Fluency in English Reading & Writing
5+ years of industry experience working as a software engineer
Experience in building Cloud platform services for large scale systems
Fluency in Java Programming
DB / Postgres / AWS Aurora experience
U.S. Bachelor or higher degree, or its equivalent, in Computer Science, Information Technology, Information Systems Management or a closely related field of study.

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, 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

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

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