Data Engineering - Data Ingestion & Infrastructure

LifeWorks, Inc. • $70K — $120K *
Telecommunications & Hardware
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years of data engineering experience
  • 2+ years in data solution architecture and design
  • Intermediate proficiency in Python or Java with pipeline development skills
  • Proficiency in SQL and database management
  • Familiarity with quality assurance and site reliability engineering practices
  • Working knowledge of infrastructure-as-code tools like Terraform or Ansible
  • Experience in data modeling

Responsibilities

  • Design and build data ingestion and pipeline flows for various deployments
  • Implement data contracts to ensure quality and timeliness of incoming data
  • Contribute to code and solution reviews for cross-team collaboration
  • Develop test strategies and reliability engineering practices for data pipelines
  • Lead the resolution of critical operational issues and reviews
  • Create and maintain self-service onboarding tools for data integration
  • Participate in agile scrums and mentor junior team members

Benefits

  • Comprehensive total rewards package with competitive salary and bonus structures
  • Minimum of 3 weeks vacation and flexible benefits plan
  • Flexible work options: in-office, remote, or hybrid
  • Company matched pension and share purchase programs
  • Opportunities to contribute to local communities
  • Career growth and learning & development opportunities
Full Job Description
In this role, you will design, develop, and support data pipelines and the platform they run on. You'll build ingestion flows, contribute to the onboarding tooling every team at TELUS uses to bring data into the platform, and play an active role in the SRE practice that keeps everything running. You'll work across greenfield deployments, legacy system migrations, and the standards that define how data moves across TELUS.

You'll also mentor junior team members and lead resolution of critical operational issues. This is a role for someone who takes ownership and brings others along.

What you will do

Pipeline & Ingestion Engineering

  • Design and build data extraction, ingestion, and pipeline flows across deployments (TELUS, Health, Digital, Agriculture), both cloud and on-prem where applicable


  • Implement data contracts at the ingestion layer ensuring data arrives, flows on schedule, and meets quality standards before it becomes available as raw data


  • Contribute to the inner-source codebase; participate in solution reviews and code reviews for pipelines contributed by Health, Digital, and other teams


Site Reliability & Data Quality

  • Develop test strategies and site reliability engineering measures for data pipelines and solutions, build automated assurance in, not manual checks after


  • Lead resolution of critical operations issues including post-implementation reviews and blameless post-mortems
    Participate in on-call rotation


Onboarding Tooling & Standards

  • Build and maintain the self-serve onboarding tooling that source teams and business units use to bring new data sources into the platform


  • Perform application impact assessments, requirements reviews, and develop work estimates for onboarding requests


  • Contribute to the onboarding standard, ensuring it stays consistent and usable across all deployments


Platform & Infrastructure

  • Apply working knowledge of infrastructure-as-code to contribute to the shared GKE cluster and deployment pipelines


  • Participate in agile development scrums and solution reviews


  • Mentor L1 and L2 Data Engineering Specialists on the team


What you bring

  • 4+ years of data engineering experience


  • 2+ years working on data solution architecture and design


  • Intermediate proficiency in Python or Java, including pipeline development


  • SQL and database proficiency


  • Familiarity with quality assurance and site reliability engineering practices for data solutions


  • Working knowledge of infrastructure-as-code (Terraform, Ansible, Pulumi, or equivalent)


  • Data modeling experience


  • Bachelor's degree in Software Engineering, Computer Science, Mathematics, or a related field (or equivalent experience)


Great-to-haves

  • Data Engineering certification


  • Experience with Kafka or streaming data movement patterns


  • GCP and BigQuery experience


  • Familiarity with Kubernetes/GKE


  • Background in a regulated industry (healthcare, telecommunications) or compliance-driven data environments


  • Experience contributing to or maintaining a shared internal platform used by multiple teams


Salary Range: $70,000-$120,000

Performance Bonus or Sales Incentive Plan: 12%

Actual total compensation will be determined based on factors such as knowledge, skills, performance and experience. We encourage all qualified candidates to apply, even if the posted salary range doesn't match your expectations. We're open to discussing competitive compensation packages tailored to your experience level and expertise. TELUS offers rewarding benefits, which may vary per job function, such as:
  • Comprehensive total rewards package highlighting competitive salary and bonus structures, minimum 3 weeks of vacation, and flexible benefits plan to meet the needs of you and your family
  • Flexibility to work in-office, virtually or a combination of both, based on the role's requirements
  • Generous company matched pension and share purchase programs
  • Opportunity to give back to communities in which we work, live and serve
  • Career growth and learning & development opportunities to develop your skills
  • And much more ...


Job Type: This is for a current vacancy

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