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Added 4 days ago
K
Senior Backend Software Engineer – Data Platform
Kaseya
Toronto, ON
- $205,000 to $240,000 CAD / year
- Full-time
Added 5 days ago
KC
Senior Backend Software Engineer – Data Platform
Kaseya Careers
Toronto, ON
- $205,000 to $240,000 CAD / year
Added 5 days ago
RE
Full Stack Software Developer
Randstad Enterprise
Montreal, QC
- Full-time
We are seeking a self-driven, dedicated developer to build and test risk and compliance surveillance models in a fast-paced Agile environment. The position requires end-to-end technical…
Added 5 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $68.97 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 5 days ago
CS
Spark / Scala Developer
Confiar Services
Toronto, ON
- Contract
We are seeking an experienced Spark/Scala Developer with strong expertise in big data technologies, distributed processing, and capital markets. The ideal candidate will have hands-on…
Added 5 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 5 days ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
5+ years of experience designing and implementing data solutions using Big Data technologies such as Hadoop, Spark, and Hive.
Added 5 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 5 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Markham, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 5 days ago
GM
Test Engineering, Data Engineering - Systems QA
General Motors
Oshawa, ON · Markham, ON
- Full-time
Experience with data and analytics platforms such as Databricks, Apache Spark, or Apache Kafka.
Added 5 days ago
G
Gen AI Developer
Galent
Halifax, NS
- Contract
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 6 days ago
T
Director, Data Platform Engineering
TD
Toronto, ON
- Full-time
Strong experience with Apache Spark, Delta Lake, a
Added 7 days ago
GS
Full Stack Software Developer
Gala Solutions
Montreal, QC
- Contract
5+ years of hands-on software development experience in the Java ecosystem.
Added 7 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.
Added 7 days ago
Java Spark Developer
Capgemini
Montreal, QC
Build scalable backend services and distributed processing frameworks using Core Java and Apache Spark.
Added 7 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.
Added 7 days ago
Java Developer
Capgemini
Montreal, QC
Exposure to big data technologies such as Apache Spark and Snowflake.
Added 7 days ago
C
Senior Java Engineer Tech Lead - Vice President
Citi
Mississauga, ON
- Full-time
We are seeking an experienced Senior Java Engineer, Tech Lead with strong expertise in Java, Apache Spark, Hadoop ecosystem, Hive, Databricks, and large-scale data processing platforms. The…
Added 7 days ago
C
Programmer – Aerospace Metrology Automation
Cyient
Longueuil, QC
- $90,000 to $120,000 CAD / year
- Full-time
…Jetty (PL1), Jenkins (NA), Jbehave (PL1), JavaScript (PL1), Java/J2EE (PL1), Java Swing (PL1), Jasmine (angular) (PL1), iOS (NA), Ionic(Angular) (NA), Integration Management (PL1),…
Added 11 days ago
A
Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Experience with high-throughput streaming or messaging systems such as Kafka, Kinesis, Flink, Spark, Apache Pinot or similar.
Added 11 days ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 11 days ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
History of significant contributions or committer status in Apache projects (e.g., Spark, Kafka, Hive, Iceberg, Flink, etc.).
Added 11 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
…high‑performance data pipelines. The ideal candidate comes from a Java or Python backend background and has worked extensively with Apache Spark. Experience with Scala is a plus but not…
Added 11 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 11 days ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
PMC member or committer status in Apache projects (e.g., Spark, Kafka, Hive, Hadoop, Iceberg, Flink, Trino).

Citi

Senior Java Engineer Tech Lead - Vice President

Mississauga, ON, Canada

$120,800.00 - $170,800.00 · Full-time

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Job details

Pay: $120,800.00 - $170,800.00
Job type: Full-time
Posting language: English
Posted: Oct 13, 2026

Original job description

We are seeking an experienced Senior Java Engineer, Tech Lead with strong expertise in Java, Apache Spark, Hadoop ecosystem, Hive, Databricks, and large-scale data processing platforms. The ideal candidate will design, develop, and optimize distributed data applications and backend services that process massive volumes of structured and unstructured data. This role requires hands-on experience with data engineering, big data technologies, cloud platforms, and performance optimization.

Responsibilities:

Design, develop, and maintain scalable backend applications using Java.
Build high-performance data processing pipelines using Apache Spark.
Develop and optimize ETL/ELT workflows for large-scale data platforms.
Work with Hadoop ecosystem components including Hive, HDFS, YARN, and Spark.
Design and implement distributed data processing solutions on Databricks.
Develop batch and real-time data processing applications.
Optimize Spark jobs for performance, memory management, and scalability.
Work closely with data architects, data engineers, and business teams.
Implement data quality, validation, monitoring, and observability solutions.
Integrate data from multiple sources and platforms.
Participate in code reviews and architecture discussions.
Support production deployments and troubleshoot performance issues.
Ensure security, governance, and compliance requirements are met.

Recommended Qualifications:

8+ years of software development experience.
5+ years of hands-on experience with Java backend development.
Expert in Java and Spark development with hands-on experience with Apache Spark and Big Data technologies.
Strong SQL and data analysis skills.
Experience working with Databricks platforms.
Experience in distributed systems and large-scale data processing.
Ability to lead technical design discussions and mentor team members.
Experience delivering enterprise-scale Big Data solutions in cloud environments.

Education:

Bachelor’s degree/University degree or equivalent experience
Master’s degree preferred

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.

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Job Family Group:

Technology

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Job Family:

Applications Development

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Time Type:

Full time

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Primary Location Full Time Salary Range:

$120,800.00 - $170,800.00

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Automated Processing and AI

We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening. Additionally, if you so choose, or consent, we can match your skills and abilities to other suitable roles at Citi.

Importantly, all our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. Our automated processing and AI do not involve relying on automatic or autonomous decision-making. Please refer to any Jurisdictional Considerations, with specific provisions for your country (where relevant) for further details.

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This job opening is for an existing job vacancy.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.

View Citi’s EEO Policy Statement and the Know Your Rights poster.

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More about this job

Responsibilities

Design, develop, and maintain scalable backend applications and high-performance data processing pipelines using Java and the Hadoop ecosystem. Collaborate with cross-functional teams to optimize ETL/ELT workflows and ensure data quality, security, and governance across distributed platforms.

Requirements

Requires 8+ years of software development experience with at least 5 years of hands-on Java backend development and expertise in Big Data technologies. Candidates should possess strong SQL skills and experience in designing enterprise-scale data solutions within cloud environments.

Skills

Java
Apache Spark
Hadoop
Hive
Databricks
Data Engineering
Big Data
ETL
ELT
Distributed Systems
Cloud Platforms
SQL
Performance Optimization
Backend Development
Data Pipelines
Architecture

Visa sponsorship

Not detected in the job text

Keywords

Java
Apache Spark
Hadoop
Hive
Databricks
Data Engineering
Big Data
ETL
ELT
Distributed Systems
Cloud Platforms
SQL
Performance Optimization
Backend Development
Data Pipelines
Architecture
HDFS
YARN
Data Quality
Observability
Governance
Compliance
Software Development
Enterprise Solutions
Batch Processing
Real-time Processing
Memory Management
Scalability
Technical Leadership
Mentoring

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