Databricks Developer Jobs

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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 python data developer (databricks)

Data Software Engineering

Databricks, Python, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly skilled and experienced remote Senior Python Data Developer with a background in Databricks to join our team.

In this role, you will be responsible for building an enterprise-grade data platform, establishing data governance and data quality.

responsibilities

Build an enterprise-grade data platform
Establish data governance and data quality
Implement reusable Databricks components for data ingestion and analytic
Work collaboratively with architects, technical leads and key individuals within other functional groups
Actively participate in code review and test solutions to ensure they meet best practice specifications
Write project documentation

requirements

At least 3+ years of experience as a Python Developer
Expertise in DSE, Python and Azure Databricks
Experience with data modelling and hands-on development experience Big Date
Cloud experience in designing, administering scalable and fault-tolerant systems
Strong data-oriented personality and compliance awareness
Experience with Amazon Web Services and SQL
Upper-intermediate English level (B2+)

senior data engineer (python, databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

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 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 contributing to a project centered around Databricks workflows, APIs, analytical development, and data engineering.

In this role, you will play a pivotal part in constructing and sustaining intricate data pipelines while facilitating seamless deployments to production. Your involvement will extend to crafting end-to-end production solutions and collaborating with cross-functional teams to deliver top-tier solutions.

responsibilities

Contribute to the design and development of novel features within the Agile development framework (Scrum)
Prioritize and uphold high-quality standards across all development stages
Ensure the reliability, availability, performance, and scalability of systems
Troubleshoot and maintain code within expansive and intricate environments
Collaborate with Developers, Product and Program Management, and senior technical personnel to provide customer-centric solutions
Offer technical insights for new feature requirements, collaborating with business owners and architects
Stay abreast of industry trends and emerging technologies for continuous improvement
Implement solutions aligned with business objectives
Guide and mentor less experienced team members to foster skill enhancement and career growth
Participate in code reviews, upholding code quality and adherence to standards
Actively engage in architectural and technical discussions within cross-functional teams to achieve project goals

requirements

Minimum of 3 years of hands-on experience in Data Software Engineering in a production setting
Proficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment to production
Familiarity with Azure DevOps, GitHub (or alternative platforms), and version control for effective project management
Capability to architect end-to-end production solutions
Robust experience on one or more cloud platforms like Azure, GCP, AWS
Proven track record in constructing resilient data pipelines
Ability to integrate disparate elements for comprehensive solutions across systems
Exceptional communication skills in both spoken and written English, at an upper-intermediate level or higher

nice to have

Exposure to REST APIs and Power BI would be advantageous

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, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Become a key player in our remote team by taking on the role of a Senior Data Software Engineer dedicated to a project centered around Databricks workflows, APIs, analytical development, and data engineering.

In this role, your primary focus will involve constructing and sustaining intricate data pipelines, facilitating seamless deployment to production. Your responsibilities extend to crafting end-to-end production solutions while engaging with cross-functional teams to deliver top-notch results.

responsibilities

Engage in the Agile development process (Scrum) to conceive and implement innovative features
Prioritize and uphold high-quality standards throughout each developmental phase
Ensure the dependability, accessibility, performance, and scalability of systems
Troubleshoot and maintain code within expansive, intricate environments
Work in tandem with Developers, Product and Program Management, and seasoned technical professionals to furnish customer-centric solutions
Provide technical insights for new feature requirements in collaboration with business owners and architects
Stay abreast of industry trends and emerging technologies for continuous improvement
Champion the execution of solutions aligned with business objectives
Guide and mentor less seasoned team members, fostering skill enhancement and career growth
Participate in code reviews, ensuring adherence to standards and code quality
Collaborate seamlessly with cross-functional teams to achieve project objectives
Actively contribute to architectural and technical discourse

requirements

A minimum of 3 years of hands-on experience in Data Software Engineering
Proficiency in Databricks, Microsoft Azure, PySpark, Python, and SQL for development and deployment in production
Familiarity with Azure DevOps, GitHub (or alternative platforms), and version control for efficient project management
Capability to develop comprehensive end-to-end production solutions
Robust experience on one or more cloud platforms such as Azure, GCP, AWS
Proven track record in constructing resilient data pipelines
Capacity to integrate disparate elements for solutions spanning multiple systems
Exceptional communication skills in both spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and Power BI would be an advantage

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

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team.

The right candidate will have a strong technical background with expertise in Apache Spark, Microsoft Azure, and Python. This position offers a unique opportunity to work on a high-impact project with one of the world's most recognized brands.

responsibilities

Collaborate with cross-functional teams to build and maintain the data integration solution
Develop, build, and optimize data pipelines using Apache Spark, Microsoft Azure, and Python
Ensure data pipelines are scalable, maintainable, and reliable
Take data science models and make them production ready
Develop and maintain forecasting models to support business decisions
Ensure data quality and consistency across all data sources
Monitor and optimize data pipelines to ensure efficient and effective data processing
Collaborate with data scientists to develop and implement machine learning models
Work with the team to continuously improve and optimize the data integration solution for Fedex
Stay current with emerging technologies and trends in data software engineering

requirements

At least 3+ years of experience in data software engineering or similar roles
Expertise in Apache Spark, Microsoft Azure, and Python
Strong knowledge of forecasting models, data science, and MLOps
Experience working with Databricks to build, maintain, and optimize data pipelines
Ability to take data science models and make them production ready
Experience with Git for version control
Understanding of basic Azure concepts including clouds, regions, ADLS, and compute
Strong analytical and problem-solving skills with the ability to think critically and creatively
Experience working in Agile development environments
Excellent English communication skills, both written and verbal (B2+ level)

nice to have

Experience with Panda for data manipulation and analysis
Strong knowledge of SQL and relational tables
Understanding of statistical models and the ability to develop models utilizing Python, Spark, etc.
Knowledge of ML tools space

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 within a leading tech firm. In this role, you will be responsible for designing, building, and optimizing robust data pipelines to support our cutting-edge applications. The successful candidate will have deep expertise in one of the languages (Python, Spark, PySpark, SQL) and be able to build within dev and enable deployment to production. We are seeking a thoughtful and reliable engineer who is capable of tying together solutions across systems and delivering end-to-end production solutions.

responsibilities

Design and implement scalable data pipelines to support our cutting-edge applications
Ensure data quality and data accuracy across all stages of data processing
Collaborate with cross-functional teams to understand business requirements and develop solutions that meet their needs
Develop and maintain codebase in accordance with industry best practices and standards
Troubleshoot and resolve issues in a timely and effective manner
Optimize data processing algorithms and improve application performance
Ensure compliance with data security and data privacy regulations
Conduct code reviews and ensure high code quality and compliance with standards and guidelines
Participate in architectural and technical discussions to help shape the product roadmap
Stay up-to-date with emerging trends and technologies in data engineering and analytics

requirements

At least 3+ years of experience as a Data Software Engineer or in similar roles
Expertise in one of the languages (Python, Spark, PySpark, SQL) for building scalable and high-performance applications
Experience with Microsoft Azure for cloud-based infrastructure and application management
Experience using Databricks for building robust data pipelines
Experience using Azure DevOps, GitHub, or other version control systems
Familiarity 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 GCP and AWS cloud platforms
Experience with Apache Kafka and Apache Beam for building data pipelines
Experience with machine learning and data science tools and frameworks

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