Data Engineer

Senior Data Engineer

As a Senior Data Engineer in the Finance-DE team, you will have the opportunity ...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on ...

Location

Salary:

Not provided

Sparteo

Expiration Date

Until further notice

Requirements

Proficiency in distributed data systems
Proficient in clustering, various table types, and data types
Strong understanding of materialized views concepts
Skilled in designing table sorting keys
Solid programming skills in Python, Java, or Scala
Expertise in database technologies (SQL, NoSQL)
You are comfortable using AI-assisted development tools (e.g., GitHub Copilot, Tabnine)
Proven experience leading data teams in fast-paced environments
Ability to mentor junior engineers and foster a culture of growth and collaboration
Data-driven decision-making abilities aligned with Sparteo's focus on results and improvement

Job Responsibility

Data Infrastructure Design and Optimization
Lead the design, implementation, and optimization of data architectures to support massive data pipelines
Ensure the scalability, security, and performance of the data infrastructure
Collaborate with software and data scientists to integrate AI-driven models into data workflows
Leadership and Team Management
Manage and mentor a team of 2 data engineers, fostering a culture of continuous improvement
Oversee project execution and delegate responsibilities within the team
Guide technical decisions and promote best practices in data engineering
Collaboration and Cross-Functional Engagement
Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives

What we offer

A convivial and flexible working environment, with our telecommuting culture integrated into the company's organization
A friendly and small-sized team that you can find in our offices near Lille or in Paris
Social gatherings and company events organized throughout the year
Sparteo is experiencing significant growth both in terms of business and workforce, especially internationally
Additional benefits include an advantageous compensation system with non-taxable and non-mandatory overtime hours, as well as a Swile restaurant ticket card

Fulltime

Senior Software Engineer - Data Integration & JVM Ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosyst...

Location

Germany

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect
Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
A track record of building scalable data integration systems (beyond simple ETL jobs)
Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
Passion for open-source development

Job Responsibility

Own and maintain critical parts of ClickHouse's Data engineering ecosystem
Own the full lifecycle of data framework integrations - from the core database driver to SDKs and connectors
Build the foundation that thousands of Data engineers rely on for their most critical data workloads
Collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – opportunities to engage with colleagues at company-wide offsites

Senior Software Engineer - Data Integration & JVM Ecosystem

The Connectors team is the bridge between ClickHouse and the entire data ecosyst...

Location

United Kingdom

Salary:

Not provided

ClickHouse

Expiration Date

Until further notice

Requirements

6+ years of software development experience focusing on building and delivering high-quality, data-intensive solutions
Proven experience with the internals of at least one of the following technologies: Apache Spark, Apache Flink, Kafka Connect, or Apache Beam
Experience developing or extending connectors, sinks, or sources for at least one big data processing framework such as Apache Spark, Flink, Beam, or Kafka Connect
Strong understanding of database fundamentals: SQL, data modeling, query optimization, and familiarity with OLAP/analytical databases
A track record of building scalable data integration systems (beyond simple ETL jobs)
Strong proficiency in Java and the JVM ecosystem, including deep knowledge of memory management, garbage collection tuning, and performance profiling
Solid experience with concurrent programming in Java, including threads, executors, and reactive or asynchronous patterns
Outstanding written and verbal communication skills to collaborate effectively within the team and across engineering functions
Understanding of JDBC, network protocols (TCP/IP, HTTP), and techniques for optimizing data throughput over the wire
Passion for open-source development

Job Responsibility

Serve as a core contributor, owning and maintaining critical parts of ClickHouse's Data engineering ecosystem
Own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make ClickHouse feel native in JVM-based applications
Build the foundation that thousands of Data engineers rely on for their most critical data workloads
Collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience

What we offer

Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 countries
Healthcare - Employer contributions towards your healthcare
Equity in the company - Every new team member who joins our company receives stock options
Time off - Flexible time off in the US, generous entitlement in other countries
A $500 Home office setup if you’re a remote employee
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites

Fulltime

The Finance Data Engineering team focuses on empowering data-informed decisions ...

Location

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Software Engineer or Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms
Experience with Databricks, Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies.

Job Responsibility

Partner with Product Managers, Engineering, analytics, and business teams to review and gather the data/reporting/analytics requirements and build trusted and scalable data models, data extraction processes, and data applications to help answer complex questions.
Design and implement data pipelines to ETL data from multiple sources into a central data warehouse.
Improve data quality by using and improving internal tools/frameworks to automatically detect DQ issues.
Develop and implement data governance procedures to ensure data security, privacy, and compliance.
Implement new technologies to improve data processing and analysis.
Coach junior data engineers to improve their skills.

What we offer

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more.

Senior Software Engineer - Java Full Stack - Futures Engineering

As a Developer, you will be enhancing and maintaining an enterprise Cleared Deri...

Location

United States , Chicago

Salary:

185000.00 - 215000.00 USD / Year

Clear Street

Expiration Date

Until further notice

Requirements

5+ years of professional experience in back-end development with Java
3+ years of experience within a financial institution, preferably in FCM (Futures Commission Merchant) or Broker-Dealer environments
Ability to work under pressure and meet deadlines
Experience building microservices
Strong understanding of design patterns, multithreading, and performance optimization
Strong problem-solving skills and ability to debug complex systems
Hands-on experience with Apache Kafka for event streaming and messaging
Proficiency in MongoDB or AWS DocumentDB for NoSQL database design and querying
Familiarity with Apache Solr for search and indexing, Apache ZooKeeper for distributed system coordination, and HashiCorp Vault for secrets management
Experience with Kubernetes for container orchestration and deployment

Job Responsibility

Working in a project team alongside other developers to architect, develop, and optimize server-side applications, RESTful APIs, and microservices using Java
Implement event-driven architectures with Apache Kafka and for real-time data processing
Contribute to front-end development using ReactJS, focusing on integrating UI components with back-end services
Optimize application performance, security, and reliability
Deploy and manage applications in Kubernetes clusters, ensuring high availability and scalability
Provide technical support for application
Collaborate with cross-functional teams across the organization to architect solutions and deliver robust features
Participate in code reviews, unit testing, and CI/CD pipeline maintenance

What we offer

competitive compensation packages
company equity
401k matching
gender neutral parental leave
full medical, dental and vision insurance
lunch stipends
fully stocked kitchens
happy hours

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Ecosystem Data Engin...

Location

United States , San Francisco; Seattle; Austin

Salary:

135600.00 - 217800.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 5+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms, micro services, and REST APIs
Experience with Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Find ways to make our data pipelines more efficient
Come up ideas to help instigate self-serve data engineering within the company
Build micro-services, architecting, designing, and enabling self serve capabilities at scale to help Atlassian grow

What we offer

Health coverage
Paid volunteer days
Wellness resources

Fulltime

Senior Data Engineer

Atlassian is looking for a Senior Data Engineer to join our Data Engineering tea...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

A BS in Computer Science or equivalent experience
At least 7+ years professional experience as a Sr. Software Engineer or Sr. Data Engineer
Strong programming skills (Python, Java or Scala preferred)
Experience writing SQL, structuring data, and data storage practices
Experience with data modeling
Knowledge of data warehousing concepts
Experience building data pipelines, platforms
Experience with Databricks, Spark, Hive, Airflow and other streaming technologies to process incredible volumes of streaming data
Experience in modern software development practices (Agile, TDD, CICD)
Strong focus on data quality and experience with internal/external tools/frameworks to automatically detect data issues, anomalies

Job Responsibility

Help our stakeholder teams ingest data faster into our data lake
Find ways to make our data pipelines more efficient
Come up with ideas to help instigate self-serve data engineering within the company
Apply your strong technical experience building highly reliable services on managing and orchestrating a multi-petabyte scale data lake
Take vague requirements and transform them into solid solutions
Solve challenging problems, where creativity is as crucial as your ability to write code and test cases

What we offer

Health and wellbeing resources
Paid volunteer days

Fulltime

Data Engineer – Java Focused

Amaris Consulting

Location:
Netherlands , Veldhoven

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
March 20, 2026

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