Senior Data Engineer – Scala / Big Data

Job Title : Senior Data Engineer – Scala / Big Data Duration : 12 Months Location : Toronto, ON. Hybrid: 2 days - Mon & Tues SUMMARY OF THE ROLE: Develop and maintain architectures, such as databases and large-scale processing systems, to handle the collection, storage, and retrieval of large datasets. Collaborate with cross-functional teams to identify and prioritize data requirements, pipeline design, and data aggregation and transformation. Implement data privacy and security measures to ensure adherence to compliance standards and protection of sensitive information. Optimize data retrieval and develop dashboards, reports, and other visualization tools to present data insights to end-users effectively. Perform data analysis and troubleshooting to identify data-related issues and ensure data quality and integrity. Stay current with industry trends and advancements in data solutions to recommend and implement improvements to existing systems. Skills: Proficiency in SQL and experience with relational and non-relational database systems. Knowledge of data modeling and warehousing principles. Experience with big data tools (e.g., Hadoop, Spark) and data pipeline and workflow management tools. ( 5 to 8 years) Strong analytical and problem-solving abilities to address data-related challenges. Familiarity with programming/scripting languages such as Python, Java, or Scala. Excellent communication and collaboration skills to work effectively with both technical and non-technical team members. AKKA/PEKKO- 2 to 3 years Scala Exp- 5 years Nice to have: Databricks CANDIDATE PROFILE DETAILS: Degree/Level of Education: Bachelors in Computer Science or IT or a relevant field Certifications Required: Databricks cert or Spark, Scala certs- would be a nice to have Years of Overall Experience: 8 to 10 years overall exp Preferred/Ideal Candidate Background: exp with SQL, SCALA, AKKA/PEKKO, data modelling Applicant Notices & Disclaimers For information on benefits, equal opportunity employment, and location-specific applicant notices, click here At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. The pay rate for this position is C$65.00/hr.

Develop and maintain large-scale data architectures and processing systems for the collection and retrieval of large datasets. Collaborate with cross-functional teams to design pipelines and implement data security and privacy measures.

Requires 8 to 10 years of overall experience with specific proficiency in Scala, SQL, and Akka/Pekko. A Bachelor's degree in Computer Science or IT is required, and Databricks or Spark certifications are preferred.

• SQLPreferred
• Data analysisPreferred
• CommunicationPreferred
• JavaPreferred
• PythonPreferred

Identified from the job description. Confirm important requirements above.

• Sql
• Scala
• Akka
• Pekko
• Hadoop
• Spark
• Data Modeling
• Data Warehousing
• Python
• Java
• Databricks
• Data Pipeline Design
• Data Analysis
• Troubleshooting
• Communication
• Collaboration

• Data & Analytics
• Technology
• Software
• Engineering
• Finance & Accounting

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Apply by

Sep 19, 2026

Posting language

English

Working hours

40 hours per week

Office presence

2 days per week

Seniority

Mid-Senior level

Application method

Direct apply is available