Data Integration Engineer Job at Apollo Solutions

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

Senior Data Engineer – Data Engineering & AI Platforms

We are looking for a highly skilled Senior Data Engineer (L2) who can design, bu...

Location

India , Chennai, Madurai, Coimbatore

Salary:

Not provided

OptiSol Business Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on expertise in cloud ecosystems (Azure / AWS / GCP)
Excellent Python programming skills with data engineering libraries and frameworks
Advanced SQL capabilities including window functions, CTEs, and performance tuning
Solid understanding of distributed processing using Spark/PySpark
Experience designing and implementing scalable ETL/ELT workflows
Good understanding of data modeling concepts (dimensional, star, snowflake)
Familiarity with GenAI/LLM-based integration for data workflows
Experience working with Git, CI/CD, and Agile delivery frameworks
Strong communication skills for interacting with clients, stakeholders, and internal teams

Job Responsibility

Design, build, and maintain scalable ETL/ELT pipelines across cloud and big data platforms
Contribute to architectural discussions by translating business needs into data solutions spanning ingestion, transformation, and consumption layers
Work closely with solutioning and pre-sales teams for technical evaluations and client-facing discussions
Lead squads of L0/L1 engineers—ensuring delivery quality, mentoring, and guiding career growth
Develop cloud-native data engineering solutions using Python, SQL, PySpark, and modern data frameworks
Ensure data reliability, performance, and maintainability across the pipeline lifecycle—from development to deployment
Support long-term ODC/T&M projects by demonstrating expertise during technical discussions and interviews
Integrate emerging GenAI tools where applicable to enhance data enrichment, automation, and transformations

What we offer

Opportunity to work at the intersection of Data Engineering, Cloud, and Generative AI
Hands-on exposure to modern data stacks and emerging AI technologies
Collaboration with experts across Data, AI/ML, and cloud practices
Access to structured learning, certifications, and leadership mentoring
Competitive compensation with fast-track career growth and visibility

Fulltime

Senior Software Engineer - Data Integration & JVM Ecosystem

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

Location

United States

Salary:

125600.00 - 185500.00 USD / Year

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
Craft tools that enable Data Engineers to harness ClickHouse's incredible speed and scale
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

Senior Software Engineer - Data Integration & JVM Ecosystem

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

Location

Netherlands , Amsterdam

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 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

Senior Software Engineer - Data Integration & JVM Ecosystem

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

Location

Canada

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 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

Israel

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 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