Tactable is hiring a Senior Software Engineer (Backend) to join our Engineering team! As a key member of our team, you will have a deep understanding of both front-end and back-end technologies and will take the lead in developing and maintaining web applications that power our services and products. The ideal candidate will have experience working in an evolving startup environment. You will be an in-the-moment problem solver with the ability to think about the short-term and long-term plan. You're energized about building and scaling and being part of a forward-thinking organization. We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture, and Values here: . Job Responsibilities: Design and develop scalable web applications using modern front-end and back-end technologies Collaborate with cross-functional teams to define, design, and ship new features Ensure the performance, quality, and responsiveness of applications Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automation Provide technical leadership and mentoring to junior engineers Write clear and concise documentation for your code and APIs Required Core Skills: 8-10+ years of experience in software development Proficiency in back-end technologies such as Node.js, Python, Java, .Net, etc. Experience with relational and non-relational databases (e.g., Postgres, MongoDB) Strong understanding of RESTful APIs and web services Demonstrated ability to handle complex tasks and projects independently Strong problem-solving skills, including the ability to research and troubleshoot effectively You must be located in Toronto and eligible to work in Canada to be considered for this role Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Experience with data workflow management tools Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams Familiarity with CI/CD pipelines and DevOps practices is a plus What We Offer: Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr
The Role Tactable is hiring a Senior Software Engineer (Backend) to join our Engineering team! As a key member of our team, you will have a deep understanding of both front-end and back-end technologies and will take the lead in developing and maintaining web applications that power our services and products.
The ideal candidate will have experience working in an evolving startup environment. You will be an in the moment problem solver with the ability to think about the short term and long term plan. You're energized about building and scaling and being part of a forward-thinking organization.
We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: .
Job Responsibilities: Design and develop scalable web applications using modern front-end and back-end technologies Collaborate with cross-functional teams to define, design, and ship new features Ensure the performance, quality, and responsiveness of applications Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automation Provide technical leadership and mentoring to junior engineers Write clear and concise documentation for your code and APIs
Required Core Skills: 8-10+ years of experience in software development Proficiency in back-end technologies such as Node.js, Python, Java, .Net, etc. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React Experience with relational and non-relational databases (e.g., Postgres, MongoDB) Strong understanding of RESTful APIs and web services Demonstrated ability to handle complex tasks and projects independently Strong problem-solving skills, including the ability to research and troubleshoot effectively You must be located in Toronto and eligible to work in Canada to be considered for this role
Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Experience with data workflow management tools Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams Familiarity with CI/CD pipelines and DevOps practices is a plus
What We Offer: Hybrid working model Comprehensive Health Benefits Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement
The Role Tactable is seeking an experienced Senior Data Engineer with strong expertise in Databricks to own and further develop our data infrastructure, ingestion, and to help us build our data products. You'll work independently while collaborating closely with both engineering and other data teams to build robust, scalable data systems. As a professional with a deep understanding of Java, Python, Databricks, you’ll take the lead in building data pipelines used to ingest the information that fuels models and trading systems.
The ideal candidate will have experience working in an evolving startup environment. You will be an in the moment problem solver with the ability to think about the short term and long term plan. You're energized about building and scaling and being part of a forward-thinking organization.
We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: .
Responsibilities: Design, build, and maintain highly scalable and robust data pipeline architectures leveraging frameworks such as Apache Spark, Hadoop, and cloud-based services (e.g., AWS, GCP, Azure). Using data warehouse solutions like Snowflake, Redshift, or BigQuery, aggregate and integrate large, complex data sets to meet both functional and non-functional requirements. Develop and implement process-improvement strategies, including automating manual tasks, optimizing data delivery, and restructuring infrastructure for scalability using workflow orchestration tools such as Apache Airflow or Luigi. Collaborate with stakeholders (executive, product, data, and design teams) to address data infrastructure and reporting needs, integrating DevOps practices (Docker, Kubernetes, Terraform) for smooth deployment. Create data tools for analytics and data science teams, helping them build and optimize data-driven solutions using Python and SQL. Implement automated testing frameworks, data validation, and compliance measures to ensure data quality, integrity, and security across the data architecture. Provide mentorship and technical expertise to junior engineers and analysts, guiding them in best practices for data engineering, performance optimization, and secure data handling. Monitor and optimize data processing performance and resource utilization using relevant metrics and logging/monitoring tools (e.g., Prometheus, Grafana, CloudWatch).
Requirements: 8+ years of professional experience as a Java Engineer, with at least 4 years in a Data Engineering or similar role Strong proficiency in Java and related frameworks (Spring, Hibernate, Spring Boot) Hands-on experience with Apache Airflow or Databricks Proven track record in designing and implementing large-scale data pipelines and datasets In-depth knowledge of SQL and NoSQL databases Familiarity with cloud platforms (AWS, Azure, GCP) Experience creating RESTful APIs and working with microservices architectures Proficiency in standard DevOps tools (Jenkins, Maven, Gradle, Git) and CI/CD pipelines Competency with automation and scripting (Bash, Python) Excellent analytical, problem-solving, and troubleshooting skills Strong communication skills, with the ability to interact effectively with stakeholders at various levels Self-directed, proactive, and adept at supporting multiple teams and systems simultaneously You must be eligible to work in Canada to be considered for this role
Nice to Have: Experience in financial services, banking, insurance, or media sectors. Knowledge of containerization and orchestration tools such as Docker and Kubernetes. Experience with streaming technologies such as Apache Kafka or Spark Streaming. Familiarity with big data technologies, including Spark, Azure Data Factory, BigQuery, Snowflake. Understanding of Data Governance frameworks and best practices.
Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams
What We Offer: Hybrid working model Comprehensive Health Benefits Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement
The Role Tactable is hiring a Senior Software Engineer (Backend) to join our Engineering team! As a key member of our team, you will have a deep understanding of both front-end and back-end technologies and will take the lead in developing and maintaining web applications that power our services and products.
The ideal candidate will have experience working in an evolving startup environment. You will be an in the moment problem solver with the ability to think about the short term and long term plan. You're energized about building and scaling and being part of a forward-thinking organization.
We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: .
Job Responsibilities: Design and develop scalable web applications using modern front-end and back-end technologies Collaborate with cross-functional teams to define, design, and ship new features Ensure the performance, quality, and responsiveness of applications Identify and correct bottlenecks and fix bugs Help maintain code quality, organization, and automation Provide technical leadership and mentoring to junior engineers Write clear and concise documentation for your code and APIs
Required Core Skills: 8-10+ years of experience in software development Proficiency in back-end technologies such as Node.js, Python, Java, .Net, etc. Proficiency in front-end technologies such as HTML, CSS, JavaScript, and frameworks like React Experience with relational and non-relational databases (e.g., Postgres, MongoDB) Strong understanding of RESTful APIs and web services Demonstrated ability to handle complex tasks and projects independently Strong problem-solving skills, including the ability to research and troubleshoot effectively You must be located in Toronto and eligible to work in Canada to be considered for this role
Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Experience with data workflow management tools Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams Familiarity with CI/CD pipelines and DevOps practices is a plus
What We Offer: Hybrid working model Comprehensive Health Benefits Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement
The Role Tactable is seeking an experienced Senior Data Engineer with strong expertise in Databricks to own and further develop our data infrastructure, ingestion, and to help us build our data products. You'll work independently while collaborating closely with both engineering and other data teams to build robust, scalable data systems. As a professional with a deep understanding of Java, Python, Databricks, you'll take the lead in building data pipelines used to ingest the information that fuels models and trading systems.
The ideal candidate will have experience working in an evolving startup environment. You will be an in the moment problem solver with the ability to think about the short term and long term plan. You're energized about building and scaling and being part of a forward-thinking organization.
We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: .
Responsibilities: Design, build, and maintain highly scalable and robust data pipeline architectures leveraging frameworks such as Apache Spark, Hadoop, and cloud-based services (e.g., AWS, GCP, Azure). Using data warehouse solutions like Snowflake, Redshift, or BigQuery, aggregate and integrate large, complex data sets to meet both functional and non-functional requirements. Develop and implement process-improvement strategies, including automating manual tasks, optimizing data delivery, and restructuring infrastructure for scalability using workflow orchestration tools such as Apache Airflow or Luigi. Collaborate with stakeholders (executive, product, data, and design teams) to address data infrastructure and reporting needs, integrating DevOps practices (Docker, Kubernetes, Terraform) for smooth deployment. Create data tools for analytics and data science teams, helping them build and optimize data-driven solutions using Python and SQL. Implement automated testing frameworks, data validation, and compliance measures to ensure data quality, integrity, and security across the data architecture. Provide mentorship and technical expertise to junior engineers and analysts, guiding them in best practices for data engineering, performance optimization, and secure data handling. Monitor and optimize data processing performance and resource utilization using relevant metrics and logging/monitoring tools (e.g., Prometheus, Grafana, CloudWatch).
Requirements: 8+ years of professional experience as a Java Engineer, with at least 4 years in a Data Engineering or similar role Strong proficiency in Java and related frameworks (Spring, Hibernate, Spring Boot) Hands-on experience with Apache Airflow or Databricks Proven track record in designing and implementing large-scale data pipelines and datasets In-depth knowledge of SQL and NoSQL databases Familiarity with cloud platforms (AWS, Azure, GCP) Experience creating RESTful APIs and working with microservices architectures Proficiency in standard DevOps tools (Jenkins, Maven, Gradle, Git) and CI/CD pipelines Competency with automation and scripting (Bash, Python) Excellent analytical, problem-solving, and troubleshooting skills Strong communication skills, with the ability to interact effectively with stakeholders at various levels Self-directed, proactive, and adept at supporting multiple teams and systems simultaneously You must be eligible to work in Canada to be considered for this role
Nice to Have: Experience in financial services, banking, insurance, or media sectors. Knowledge of containerization and orchestration tools such as Docker and Kubernetes. Experience with streaming technologies such as Apache Kafka or Spark Streaming. Familiarity with big data technologies, including Spark, Azure Data Factory, BigQuery, Snowflake. Understanding of Data Governance frameworks and best practices.
Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams
What We Offer: Hybrid working model Comprehensive Health Benefits Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement
The Role Tactable is seeking an experienced Senior Data Engineer with strong expertise in Databricks to own and further develop our data infrastructure, ingestion, and to help us build our data products. You'll work independently while collaborating closely with both engineering and other data teams to build robust, scalable data systems. As a professional with a deep understanding of Java, Python, Databricks, you’ll take the lead in building data pipelines used to ingest the information that fuels models and trading systems.
The ideal candidate will have experience working in an evolving startup environment. You will be an in the moment problem solver with the ability to think about the short term and long term plan. You're energized about building and scaling and being part of a forward-thinking organization.
We are building an incredible company and looking for talented, energetic, and motivated people to join our team. You can learn more about our Company, Culture and Values here: .
Responsibilities: Build and maintain scalable ETL/ELT pipelines using Databricks Leverage PySpark/Spark and SQL to transform and process large datasets Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems Optimize Databricks workloads for cost efficiency and performance, monitor and troubleshoot data pipelines to ensure reliability and accuracy Onboard and integrate new data sources Migrate existing data pipelines to new architectures Break down large tasks into manageable components and drive them to completion Lead from a technical perspective and support a team of data engineers with mentoring and guidance Design and maintain automation of workflows and processes to boost team efficiency and enforce standardization Write excellent documentation for yourself, your team, as well as our clients
Required Core Skills: 8-10+ years of experience in Data Engineering space At least 5 years’ experience with mid to large Databricks data platform implementations Proficiency in Java ecosystem and strong knowledge of SQL Proficiency in Python or similar programming languages (TypeScript, C#, etc.) Proficiency with Databricks and data storage, including relational and non-relational databases General Understanding of continuous integration/continuous deployment (CI/CD) pipelines You must be located in Toronto and eligible to work in Canada to be considered for this role
Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Experience with data workflow management tools Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams
What We Offer: Hybrid working model Comprehensive Health Benefits Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement
A Software Engineer at Tactable is a professional with a deep understanding of both front-end and back-end technologies. In this role, you’ll take the lead in developing and maintaining web applications that power our services and products. Responsibilities: Work with proprietary tools and technologies including time series databases, job scheduling, cloud storage, containers/images, batch schedulers, and ETL tools Onboard and integrate new data sources Migrate existing data pipelines to new architectures Break down large tasks into manageable components and drive them to completion Lead from a technical perspective and support a team of data engineers with mentoring and guidance Design and maintain automation of workflows and processes to boost team efficiency and enforce standardization Write excellent documentation for yourself, your team, as well as our clients Required Core Skills: 5+ years of experience in software development Proficiency in Java ecosystem and strong knowledge of SQL Proficiency with big data warehouse platforms and data storage, including relational and non-relational databases Proficiency in Python or similar programming languages (TypeScript, C#, etc.) General understanding of continuous integration/continuous deployment (CI/CD) pipelines Other Skills: Degree in Computer Science, Engineering, or equivalent industry experience Experience with data workflow management tools Strong communication and teamwork skills Strong time management skills and ability to manage multiple workstreams What We Offer: Generous holidays and flexible PTO Laptop/Equipment provided Potential for professional growth and advancement Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Industries Software Development #J-18808-Ljbffr
