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Added 12 days ago
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Member of Technical Staff 3
Nutanix
Vancouver, BC
- $132,000 to $198,000 CAD / year
- Full-time
Design and implement pre-requisite data engineering by authoring Jobs via Apache Spark.
Added 12 days ago
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Member of Technical Staff 4
Nutanix
Vancouver, BC
- $151,000 to $227,000 CAD / year
- Full-time
Design and implement data engineering by authoring Jobs via Apache Spark to satisfy complex requirements.
Added 12 days ago
AC
Développeur Java Senior
Amaris Consulting
Montreal, QC
- Full-time
Expérience dans la conception de pipelines de traitement de données distribués avec Apache Spark, Python et des outils/langages associés.
Added 16 days ago
AC
Senior Java Software Engineer
Amaris Consulting
Montreal, QC
- Full-time
We are seeking an experienced Senior Java Developer to join a growing Market Risk technology team. In this role, you will design, build, and enhance applications that support critical risk…
Added 16 days ago
RE
Java Software Engineer
Randstad Enterprise
Montreal, QC
- Full-time
Exposure to big data technologies such as Apache Spark, Snowflake.
Added 16 days ago
TC
Java Developer
TMC Canada
Montreal, QC
- Full-time
We're looking for a Senior Java Developer to join a global engineering team building large-scale, distributed risk management applications. You'll work on mission-critical systems that…
Added 17 days ago
PG
Spark Scala Java Developer
Pacer Group
Toronto, ON
- $55 to $60 CAD / hour
- Contract
Hands-on experience with Apache Spark – Core, Spark SQL, DataFrames, and Datasets.
Added 17 days ago
PG
Spark Scala Java Developer
Pacer Group
Toronto, ON
- $60 to $62 CAD / hour
- Contract
Proficient in Scala and Java programming.Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).Familiarity with Maven for build and dependency management.Experience with…
Added 17 days ago
PG
Scala Developer
Pacer Group
Toronto, ON
- $60 to $65 CAD / hour
- Contract
Job Title: Java Developer with Spark and Scala
Added 18 days ago
TC
Senior Java Software Engineer
TSR Consulting
Mississauga, ON
- Contract
TSR Consulting is currently seeking a highly motivated Java Full Stack/ Java Backend Developer for an opportunity in Mississauga, ON Hybrid
Added 19 days ago
JG
Java Spark Developer
J&M Group
Montreal, QC
- Contract
Develop enterprise-grade applications using Core Java and Apache Spark.
Added 19 days ago
MS
Senior Data Engineering Specialist (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
Build and optimize large-scale distributed data platforms leveraging technologies such as Snowflake, Databricks, SingleStore, Apache Spark, and related analytics ecosystems.
Added 19 days ago
JG
Java Developer
J&M Group
Montreal, QC
- Contract
We are hiring for a Java Developer. This role focuses on hands-on Core Java development for large-scale Market Risk technology platforms and distributed systems.
Added 19 days ago
MS
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
…solutions; exposure to distributed computing tools (such as Apache Spark for Python) is an…
Added 19 days ago
MS
Full Stack Developer – Data Engineering (Hybrid)
Morgan Stanley
Montreal, QC
- Full-time
…solutions; exposure to distributed computing tools (such as Apache Spark for Python) is an…
Added 19 days ago
T
Senior Software Engineer
Tactable
Toronto, ON
- Full-time
Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
Added 20 days ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 1 month ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- $180,000 to $210,000 CAD / year
- Full-time
History of significant contributions or committer status in Apache projects (e.g., Spark, Kafka, Hive, Iceberg, Flink, etc.)
Added 1 month ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- $210,000 to $240,000 CAD / year
- Full-time
PMC member or committer status in Apache projects (e.g., Spark, Kafka, Hive, Hadoop, Iceberg, Flink, Trino)
Added 1 month ago
OS
Back End Java
Open Systems Technologies
Mississauga, ON
- Contract
We are seeking a highly skilled and passionate Senior Java Backend Developer to join our engineering team as a Senior Individual Contributor. In this role, you will be responsible for…
Added 1 month ago
S
Senior Core Java Developer with E-trade exp.
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…
Added 28 days ago
Senior Data Software Engineer
Scotiabank
Toronto, ON
Proven experience with DataBricks, Unity Catalog, Delta Lake and Apache spark
Added 1 month ago
JG
Spark Scala Java Developer
J&M Group
Toronto, ON
- Contract
Hands-on experience with Apache Spark (Core| SQL| DataFrames| Datasets).
Added 1 month ago
D
Senior Java Backend Developer - Operate
Deloitte
Toronto, ON
- Full-time
We are seeking Senior Java Developers to join our team on a 1-year fixed term. As a Java Developer at Deloitte, you will play a crucial role in designing, developing, and maintaining…
Added 1 month ago
P
Senior Software Engineer- Big Data & Java
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Experience with distributed computing tools like Apache Hudi, Spark, Kafka, Flink, Beam, Trino, DataBricks and other big data technologies.

Tactable

Senior Software Engineer

Toronto, ON, Canada

Salary Range: $140,000 – $190,000 CAD, based on experience and role fit · Full-time

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Job details

Pay: Salary Range: $140,000 – $190,000 CAD, based on experience and role fit
Job type: Full-time
Apply by: Mar 14, 2027
Experience: 8+ years of extensive software/data engineering experience in production environments
Posting language: English
Posted: Sep 15, 2026

Original job description

Our Mission at Tactable

What if you could build software that didn’t just scale, but transformed entire organizations?

At Tactable, this is what drives us. We’re building a world-class cloud, data, and API engineering firm with a mission to power the most influential tech of tomorrow, through expert-led delivery, strong partnerships, and a relentless focus on quality.

We don’t just consult. We build.

Founded by engineers who care deeply about people, process, and product, we go beyond just solving problems. We embed with clients, work across full project lifecycles, and operate at the speed of startups while upholding the rigor of enterprise-grade engineering.

From financial institutions to emerging tech ventures, our work is behind some of the most mission-critical systems in production today, and we’re just getting started. With growing demand from top-tier clients and a strong runway for expansion, we’re building a team of curious, ambitious developers who want to build meaningful things with meaningful people.

Take a look at tactable.io to learn more about our work and what sets us apart.

The Role: Senior Software Engineer (Cloud, Data & APIs)

This is a hands-on, hybrid role designed for builders. As a Software Engineer, you’ll be part of a deeply technical team solving real-world data and infrastructure challenges for our enterprise clients, from scaling streaming pipelines and integrating APIs to designing high-availability cloud systems.

You’ll have the opportunity to lead technical direction, mentor teammates, and rotate across domains that expose you to new tech, use cases, and industries. We're not just hiring you for a project. We’re investing in your long-term growth.

If you love writing clean code, collaborating cross-functionally, and designing systems that make a real impact, you’ll thrive at Tactable.

What You’ll Do

End-to-End Engineering

Build scalable, high-performance backend systems using Python, leveraging concurrent and distributed architectures
Design and implement robust, distributed data pipelines using Spark, Databricks, Kafka, and Apache Iceberg
Develop and maintain microservices that interact with both streaming and batch data sources
Integrate complex data systems using ETL/ELT processes, Spring Expressions, and custom APIs
Optimize and manage datasets using Parquet, Hadoop, and modern query layers like Dremio
Collaborate with frontend teams to support integration of React-based user interfaces with backend APIs
Modernize and migrate legacy systems to cloud-native infrastructure

Technical Leadership

Guide architectural decisions involving data workflows, storage formats, and service patterns
Break down complex, cross-cutting tasks into structured delivery plans
Mentor junior and mid-level engineers on data engineering best practices, from streaming to transformation layers
Review and document architecture choices and technical designs for transparency and alignment

Client & Project Exposure

Rotate across engagements (every 6–12 months) involving large-scale data and infrastructure challenges, often in banking, financial services, and regulated environments
Lead technical execution across greenfield builds, real-time analytics platforms, and high-throughput systems
Act as a hands-on engineering partner to client teams, building long-term technical trust and delivering meaningful impact

What You Bring

Must-Have Experience

8+ years of extensive software/data engineering experience in production environments
Advanced expertise in Python, including performance optimization, concurrency, and service-oriented architecture
Deep experience building scalable data pipelines with tools like Spark, Kafka, Databricks, and Iceberg
Strong working knowledge of RDBMS and SQL, plus hands-on experience with Parquet and big data file formats
Familiarity with Hadoop-based ecosystems, large-scale data processing, and modern orchestration practices
Experience integrating backend services with React-based frontends (bonus if full-stack)
Solid understanding of CI/CD workflows, API design, and cloud infrastructure fundamentals

Bonus Points For

Exposure to LLM/AI-based data transformation tools
Prior experience with Java or JVM-based systems in mixed-language environments
Experience with Dremio or similar data lake query engines
Experience working in highly regulated industries, especially finance or insurance
Ability to operate in hybrid/in-person environments and lead small technical teams

Why You’ll Love This Role

Growth-First Culture - From custom career paths to project rotation, we design roles around your goals, not just business needs.
Full Ownership & Impact - You’ll own critical parts of delivery, architecture, and technical decision-making. No red tape, no silos.
Tight-Knit Team - We’ve built a culture of trust, collaboration, and curiosity. Whether it’s team lunches, hack days, or a new internal tool, we move as one unit.
Real Work, Real Users - We’re not building MVPs that sit on a shelf. You’ll work on systems that millions rely on, every day.
Flexibility with Structure - We’re a hybrid-first team with a strong appreciation for in-office collaboration, especially at our downtown Toronto HQ. We encourage in-person presence to foster mentorship, connection, and collaboration.

Why This Might Not Be a Fit

If you’re looking for narrow responsibilities or prefer to stay in one tech domain long-term
If you want to work in a rigid hierarchy with formal titles and clear ladders
If you prefer a vendor-style relationship with clients rather than deep, embedded partnerships

Compensation, Benefits & Perks

Salary Range: $140,000 – $190,000 CAD, based on experience and role fit
Comprehensive health and dental plan
Generous PTO and holidays
Laptop & home office equipment provided
Career coaching and personalized development plans
Regular social events, team outings, and wellness activities

Hiring Process & Transparency

This role is for an active vacancy on our engineering team, not a future talent pool position.
As part of our hiring process, we use AI-assisted screening tools. Candidates selected to move forward will complete an initial screening interview via an AI-based platform, followed by direct interviews with our engineering team.

Ready to Build the Next Generation of Cloud & Data Infrastructure?

No cover letter required. Just apply, and let’s start building.

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More about this job

Responsibilities

Build and optimize scalable backend systems and distributed data pipelines for enterprise clients. Lead technical direction, mentor junior engineers, and manage the migration of legacy systems to cloud-native infrastructure.

Requirements

Requires 8+ years of software or data engineering experience with advanced expertise in Python and big data tools like Spark and Kafka. Candidates should have strong SQL knowledge and experience integrating backend services with React frontends.

Skills

Python
Spark
Kafka
Databricks
Apache Iceberg
SQL
RDBMS
Parquet
Hadoop
API Design
CI/CD
React
Microservices
ETL/ELT
Distributed Systems
Cloud Infrastructure

Benefits

Comprehensive Health Plan
Dental Plan
Generous PTO
Holidays
Laptop
Home Office Equipment
Career Coaching
Social Events
Team Outings
Wellness Activities

Visa sponsorship

Not detected in the job text

Keywords

Python
Spark
Kafka
Databricks
Apache Iceberg
Parquet
Hadoop
Dremio
React
Java
JVM
Cloud-Native
Microservices
ETL
ELT
CI/CD
API Design
Distributed Architecture
Streaming Pipelines
Big Data
Financial Services
LLM
AI
Software Engineering
Data Engineering
Cloud Infrastructure
High-Availability Systems
Concurrent Programming
Service-Oriented Architecture
Real-time Analytics

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