data solutions developer iv.

Our client, is seeking an experienced, high-performing Data Solutions Developer IV (Senior Scala & Distributed Systems Lead) to join their core data platform engineering group.

In this senior technical role, you will be responsible for developing, maintaining, and optimizing large-scale distributed data processing systems, real-time data pipelines, and enterprise data architectures. Operating within a high-concurrency environment, you will build robust ingestion pipelines, model complex relational and non-relational data structures, and leverage actor-based concurrency frameworks (Scala / Akka / Pekko) to process high-volume datasets. Working closely with cross-functional analytics, technology, and business teams, you will enforce strict data privacy standards, optimize query performance, and ensure data integrity across the platform lifecycle.

Duration: 12-Month Contract (2026-09-08 to 2027-09-10, with high potential for extension)

Work Arrangement: Hybrid (2 days per week on-site: Mondays & Tuesdays)

Advantages
High-Impact Distributed Architecture Scope: Direct the design and engineering of fault-tolerant, high-concurrency data streaming and batch processing systems.

Cutting-Edge Technical Stack: Work heavily with Scala, Akka / Pekko, distributed computing engines, and modern cloud data environments.

12-Month Engagement Stability: Secure a full 1-year consulting contract within a stable, highly funded enterprise platform team.

Collaborative Hybrid Schedule: Enjoy fixed, predictable on-site days (Mondays and Tuesdays) combined with remote work flexibility.

Responsibilities
Pipeline Engineering & Concurrent Systems
High-Concurrency Systems Engineering: Design, build, and optimize scalable, actor-based distributed data processing services utilizing Scala and Akka / Pekko.

Data Pipeline Architecture: Develop and maintain high-throughput ETL/ELT pipelines, streaming workflows, and data ingestion architectures using big data processing engines (e.g., Spark, Hadoop).

Data Modeling & Storage: Structure and optimize relational and non-relational database schemas, data warehouses, and storage layers for maximum retrieval performance and query efficiency.

Governance, Performance & Stakeholder Collaboration
Data Quality & Observability: Perform root-cause analysis, data profiling, and troubleshooting to resolve data quality issues, performance bottlenecks, and pipeline failures.

Data Privacy & Security: Implement data privacy, encryption, and governance controls to ensure complete compliance with enterprise standards and data security regulations.

Cross-Functional Partnering: Collaborate with cross-functional analytics and product teams to translate complex data requirements into production-ready pipelines, visual dashboards, and analytical reporting models.

Qualifications
Scala Mastery: 5+ years of dedicated professional software engineering experience using Scala.

Akka / Pekko Frameworks: 2 to 3 years of hands-on experience building distributed, concurrent systems using Akka or Apache Pekko.

Big Data & Pipeline Tooling: 5 to 8 years of experience working with big data tools (e.g., Spark, Hadoop), data pipeline orchestration, and workflow management platforms.

Database & SQL Expertise: Advanced proficiency in SQL along with extensive experience across relational and non-relational database systems.

Data Modeling: Proven understanding of enterprise data modeling, data warehousing principles, and distributed storage patterns.

Soft Skills: Exceptional analytical problem-solving skills; strong communication and collaboration abilities to bridge technical and non-technical stakeholders.

Preferred Assets & Nice-to-Haves
Hands-on platform experience with Databricks.

Knowledge of complementary programming languages such as Python or Java.

Summary
If you are a tech-savvy Data Solutions Developer IV who pairs an absolute command of Scala, Akka/Pekko actor frameworks, and big data engineering (Spark) with 5+ years of enterprise platform delivery, this 12-month hybrid contract is an outstanding opportunity. Bring your concurrency precision, data pipeline architecture expertise, and collaborative mindset to our client's engineering team today!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to View email address on randstad.com to ensure their ability to fully participate in the interview process.

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