Senior Data Engineer (Remote)
Lumenalta · Waterloo, ON
- Hybrid
- Contract
- CA$200,000 / year
- Waterloo, ON
Job highlights
- Build and maintain robust data pipelines.
- Work with large datasets using Python/Java.
- Collaborate with cross-functional teams.
- Design scalable data architectures.
- Ensure data quality and reliability.
About the role
About Lumenalta
We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries.Future Opportunity Role – Talent Pipeline
This is a future opportunity role. We continuously meet talented engineers to support upcoming client projects. While there may not be an immediate opening, qualified candidates may be considered for future engagements.What You’ll Do
Join the team as a Senior Data Engineer with strong ownership of data pipelines and architecture.- Design, build, and maintain reliable ETL pipelines from the ground up.
- Work with large, complex datasets using Python or Java and advanced SQL.
- Build scalable and efficient data flows and transformations across multiple systems.
- Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data.
- Ensure data quality, consistency, performance, and reliability across the data platform.
What We’re Looking For
- 7+ years of experience as a Data Engineer.
- Strong skills in Python or Java for data processing.
- Proficient in SQL, especially for querying large datasets.
- Experience with batch and/or stream data processing pipelines.
- Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.).
- Knowledge of data modeling, normalization, and performance optimization.
- Comfortable working in agile, collaborative, and fully remote environments.
- Fluent in English (spoken and written).
Nice to Have (Not Required)
- Experience with Airflow, Kafka, or similar orchestration/message tools.
- Exposure to basic data governance or privacy standards.
- Unit testing and CI/CD pipelines for data workflows.
Salary
Salary range: CA$69,000 - CA$200,000 annually, with final compensation determined by your qualifications, expertise, experience, and the role's scope.Location
This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.Benefits
In addition to competitive pay, we offer a variety of benefits to support your professional and personal growth, including:- Flexible working hours in a remote environment.
- Health insurance (medical and dental) for T4 Employees.
- A professional development fund to enhance your skills and knowledge.
- 15 days of paid time off annually.
- Access to soft-skill development courses to further your career.
Position Details
This is a full-time position requiring a minimum of 40 hours per week, Monday through Friday.Application Deadline
This role is a future opportunity position with no predetermined start date. Applications will be accepted until April 30, 2026. As we continue to build our talent pipeline, the position may be reposted to allow us to connect with additional qualified professionals.Key skills/competency
Senior Data Engineer, Data Pipelines, ETL, Python, Java, SQL, Data Modeling, Cloud Computing, Data Transformation, Remote WorkSkills & topics
- Senior Data Engineer
- Data Engineering
- ETL
- Data Pipelines
- Python
- Java
- SQL
- Cloud Data
- Data Transformation
- Remote
How to get hired
- Tailor your resume: Highlight your 7+ years of data engineering experience, Python/Java skills, and SQL proficiency.
- Showcase cloud experience: Emphasize familiarity with AWS or GCP services like S3, EC2, or Cloud Storage.
- Demonstrate pipeline expertise: Detail your experience in designing and building ETL, batch, or stream processing pipelines.
- Address remote work: Confirm your comfort and setup for a fully remote, collaborative environment.
- Apply proactively: Submit your application for this future opportunity to join Lumenalta's talent pipeline.
Technical preparation
Master Python/Java for data processing.,Deepen SQL skills for complex queries.,Practice building ETL/stream pipelines.,Familiarize with AWS/GCP services.
Behavioral questions
Describe owning a data pipeline.,How do you ensure data quality?,How do you collaborate with teams?,Tell me about a complex data problem.
Frequently asked questions
- What is a 'future opportunity role' at Lumenalta for a Senior Data Engineer?
- A 'future opportunity role' means Lumenalta is building a talent pipeline for upcoming client projects. While there isn't an immediate opening, your application will be considered for future engagements, allowing us to connect with qualified professionals like you.
- What are the primary responsibilities of a Senior Data Engineer at Lumenalta?
- As a Senior Data Engineer, you will own data pipelines and architecture, design and build reliable ETL processes, work with large datasets using Python/Java and SQL, create scalable data transformations, and collaborate with analysts and product managers to ensure data quality and reliability.
- What programming languages and tools are essential for this Senior Data Engineer role?
- Proficiency in Python or Java for data processing and strong SQL skills for querying large datasets are essential. Familiarity with cloud platforms like AWS or GCP is also required. Experience with tools like Airflow or Kafka is a plus.
- Does Lumenalta offer health insurance for remote employees?
- Yes, Lumenalta offers health insurance, including medical and dental coverage, for T4 employees in addition to other benefits like flexible working hours and a professional development fund.
- What time zones are candidates required to be in for this remote Senior Data Engineer position?
- Candidates for this remote Senior Data Engineer position must be based in regions that align with the Pacific, Central, or Eastern U.S. time zones to facilitate effective collaboration with client and team schedules.
- What is the salary range for the Senior Data Engineer role at Lumenalta?
- The salary range for this role is CA$69,000 to CA$200,000 annually. The final compensation will depend on your specific qualifications, experience, and the scope of the role.
- How much paid time off does Lumenalta provide for its employees?
- Lumenalta offers 15 days of paid time off annually for its employees.
- Is there a specific application deadline for this Senior Data Engineer role?
- Applications for this future opportunity role will be accepted until April 30, 2026. The position may be reposted as Lumenalta continues to build its talent pipeline.
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