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Senior Data Engineer/Orchestration Specialist

extra parental leave

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Canada, California (USA), United States

Offer summary

Qualifications:

4+ years of experience as a Data Engineer, Hands-on experience with orchestration tools, Strong programming skills in Python, Scala, or Javascript, Expertise with SQL and non-SQL DBs, Experience with cloud-based data platforms.

Key responsabilities:

Build and maintain scalable data pipelines
Develop and optimize data models for performance
Collaborate with stakeholders for data needs
Create interactive dashboards for decision-making
Mentor junior engineers and recommend infrastructure improvements

MDA Edge Scaleup https://mdaedge.com/

201 - 500 Employees

See more MDA Edge offers

Job description

About the role

We are seeking a talented and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a crucial role in building and maintaining data pipelines, developing and managing dashboards, and contributing to tool development. Your expertise will enable us to efficiently process and analyze large volumes of data, providing valuable insights to drive business decisions.

What you'll be working on

Build scalable and efficient data pipelines to collect, process, and transform large volumes of data from diverse sources.
Develop and maintain data models, ensuring data integrity and optimizing query performance.
Collaborate with stakeholders to understand their data requirements and provide the necessary infrastructure and support.
Build and maintain interactive dashboards and visualizations to enable data-driven decision-making across the organization.
Contribute to the development of internal data tools and frameworks, automating repetitive tasks and improving data accessibility and usability.
Stay up to date with the latest advancements in data engineering technologies and best practices, and proactively recommend improvements to our data infrastructure.
Mentor and provide guidance to junior data engineers, fostering a culture of learning and growth.

Interview process:

Potential Recruiter Screen
Hiring Manager Screen (Technical)
Virtual Onsite: Two Coding/Problem solving sessions (1 hour each)
Offer Stage

Must have:

Experience: 4+ years of experience as a Data Engineer
Experience: hands-on experience building or maintaining data pipelines with a modern orchestration tools like Airflorw/Prefect/Dagster.
Technical Skills: strong programming skills in languages like Python, Scala or Javascript, with a solid understanding of software engineering principles.
Technical Skills: strong expertise with SQL and non-SQL DBs, cloud-based data platforms (e.g., AWS, GCP) and their related services (S3, BigQuery, etc.).
SQL: Expert level writing of SQL for data manipulation, transformation and for analytics.
Dash Boarding: Experience building and maintaining interactive and intuitive dashboards using tools like Looker.
Development: Comfortable with tool development, including building and enhancing internal data tools and frameworks.

Nice to have:

Prior Startup Experience: Experience scaling from Series A/B through later stages.
Business Model Experience: B2C and B2B experience and payments experience would be a bonus.

Benefits: Medical, Dental, Vision, Paid time off, Parental leave, Parental leave.