remote (work from home) jobs for Data Software Engineering in Georgia

EPAM Anywhere is hiring remote Data Software Engineering professionals

apply for a Data Software Engineering job in Georgia

Apply for a remote full-time Data Software Engineering job at EPAM Anywhere from Georgia and experience the benefits of working alongside our 3,500+ top global tech professionals.

Our remote jobs offer a comprehensive benefits package, including health insurance, learning opportunities, and relocation options. In addition, you'll be able to take advantage of the training and mentoring programs available to help you achieve your career goals; bring exceptional value to international projects; get access to the latest technology in our competency centers; and receive the recognition you deserve for your contributions.

At EPAM Anywhere, you can build a structured career path with the guidance of experienced skill advisors. Grow your career on your own terms while enjoying the flexibility of full-time remote work.

We have no Data Software Engineering jobs in Georgia now

Unfortunately, we have no Data Software Engineering jobs in Georgia now. Explore other remote jobs

senior data software engineer

Data Software Engineering

Python.Core, Pandas, Databricks

40 hrs/week

12+ months

Poland

We are seeking a highly skilled Senior Data Software Engineer to join our remote team for a government project aimed at boosting the capacities of administrative service centers to deliver accessible and inclusive assistance.

In this role you will be responsible for developing and implementing data pipelines for collecting data from various sources, as well as creating regular reports and dashboards using Power BI tools. If you have a passion for data-driven solutions and want to work on a project that has a positive impact on society, we encourage you to apply.

responsibilities

Design and implement scalable, high-performance data software solutions that meet project requirements
Develop and implement data pipelines for collecting data from various sources
Create regular reports and dashboards using Data Analysis and Visualization tools as needed
Write data transformations using advanced scripting
Collaborate with cross-functional teams to conceptualize, design, develop, and implement effective data solutions
Ensure data quality and integrity throughout the data lifecycle
Develop and maintain technical documentation for data solutions
Stay up-to-date with emerging trends and technologies in data software engineering

requirements

At least 3 years of experience in Data Software Engineering
Expertise in Python programming and core Python libraries such as Pandas
Experience with Power BI Report Development and Jupyter Notebook
Strong knowledge on Databricks and Amazon Web Services
Experience with data modeling and database design
Proven ability to design and implement scalable, high-performance data software solutions
Familiarity with Agile methodologies and software development best practices
Excellent written and oral communication skills in English (Upper-Intermediate level)

nice to have

Experience with data visualization tools such as Tableau or QlikView
Familiarity with data warehousing and ETL processes

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 . 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, with a focus on Databricks workflows, APIs, and Data Engineering.

responsibilities

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 systems
Maintain and troubleshoot code in large-scale, complex environments.
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
Expertise in Databricks, Microsoft Azure, PySpark, Python, and SQL for building both within development and enabling deployment to production
Experience with Azure DevOps, GitHub, (or others), and version control for effective project management
Ability to develop end-to-end production solutions
Strong experience working on one or more cloud platforms such as Azure, GCP, AWS
Experience in building out robust data pipelines
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 REST APIs and Power BI would be a plus

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 at the forefront of data analytics and insights. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful data-driven solutions. 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 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 systems
Maintain and troubleshoot code in large-scale, complex environments.
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 server development in Python and PySpark
Deep expertise in Azure Data Factory for building scalable and high-performance applications
Experience with Advanced SQL for designing and managing database schema, including procedures, triggers, and views
Experience in Data analysis and troubleshooting
Knowledge of Integration testing support for version control, integration, and deployment
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
Exposure to Databricks, hdinishght, azure data lake, data api, Spark, Scala, Kafka for application packaging and deployment
Expertise in Big Data Primary skills and Data background for designing and building scalable applications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with EDL changes in DB Views/Stored procedures is a plus

senior data engineer (databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for a remoted Senior Data Engineer with strong experience in Databricks to join our project.

The ideal candidate will have knowledge of Big Data technologies, primarily Spark.

responsibilities

Design and implement efficient data pipelines and ETL processes
Collaborate with cross-functional teams to develop and implement data-driven solutions
Optimize data models and queries for performance
Develop and maintain data documentation and data lineage
Mentor and provide technical leadership to junior team members

requirements

3+ years of software engineering experience
Strong experience in Databricks
Experience with AWS, Python, Big Data
Hands-on knowledge of Spark
Good leadership skills
Upper-Intermediate level of English (B2+)

nice to have

Familiarity with Apache Hive

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer with experience in PySpark, Azure Data Factory, and advanced SQL for the project.

The ideal candidate must have at least 2 years of solid/hands-on experience in Data Software Engineering with primary skills in Big Data and a strong data background.

responsibilities

Conduct data analysis and troubleshootin
Plan and implement new requirements/data entities on ED
Provide support for integration testing
Make sure data pipelines are scalable and efficient

requirements

3+ years of relevant work experience
Must have skills in DSE Python and Azure Databricks
Familiarity with EDL changes in DB Views/Stored procedures and integration testing support
Advanced knowledge of PySpark, Azure Data Factory, and SQL
Ability to collaborate effectively with the team
Excellent communication skills with an upper-intermediate level of English

nice to have

Experience with HDInsight, Azure Data Lake, Data API, Spark, Scala, and Kafka will be an added advantage

see all jobs

why apply for our remote Data Software Engineering job in Georgia

Remote forever

Build your work around your lifestyle with jobs that are remote by design.

Competitive compensation

Receive a salary on par with global market rates, with pay reviews as you continuously grow.

Long-term projects

Plan your life and career for years ahead with full-time, long-term projects.

Social protection

Access all the benefits you deserve — including health insurance, paid leave, stable income, and more depending on your location.

Individual project matching

Choose the right project for you with the help of a personal project matching coordinator.

Free learning

Access the hundreds of free courses, training programs and certification support resources available at Anywhere.

our webinars

how to apply for the Data Software Engineering in Georgia role

choose a job→

Browse open positions at Anywhere and find the one that fits your expertise and career goals. You can also share your CV, and our recruitment team will suggest the most suitable job for you.

apply→

Send us your application, and the Anywhere recruitment team will promptly review it and get back to you. When signed in, you can monitor your application progress in your profile.

interview→

With your application successfully reviewed, it’s now time to shine during the interviews. You’ll start with the general one with the recruiter. Next, you’ll showcase your skills at the technical interview, and then discuss final details at the offer interview.

get started→

After you accept the offer, we will move on with the onboarding process and the paperwork. Then you’ll be matched with a project that fits your professional goals and aspirations best. Apply now to speed up your exciting new start at Anywhere!

apply now

our trainings

faq

who can apply?

in which locations are you looking for candidates?

how quickly will you review my application?

how can I speed up the process?

why was my application rejected?

why was I rejected without even a general talk?

Our process doesn’t involve a General Interview with each applicant. To make the best use of our time, and yours, each profile is first reviewed and evaluated based on the position’s requirements. It may be that your CV didn’t pass our prescreening, and you can find tips on creating an ideal CV for EPAM Anywhere here (https://anywhere.epam.com/en/blog/how-to-write-an-effective-cv-to-get-hired-instantly). It is also possible that the position you applied for was filled/canceled.

latest Data Software Engineering insights

job interviewsbig data developer interview questionsAce your big data developer interview with our comprehensive list of 35 questions and answers covering Hadoop, Spark, NoSQL, data processing, and more.read more

career advicePower BI job descriptionExplore the role of a Power BI professional, their key responsibilities, and the essential skills needed to excel in this data-driven job.read more

career advicedata engineer job descriptionDiscover the data engineer job description, including key roles, responsibilities, and skills required for success in this essential data-driven position.read more

remote (work from home) jobs for Data Software Engineering in Georgia

apply for a Data Software Engineering job in Georgia

other jobs in Georgia

We have no Data Software Engineering jobs in Georgia now

why apply for our remote Data Software Engineering job in Georgia

Remote forever

Competitive compensation

Long-term projects

Social protection

Individual project matching

Free learning

our webinars

how to apply for the Data Software Engineering in Georgia role

our trainings

faq

latest Data Software Engineering insights