Apply now

Posted yesterday

Senior Data Engineer

@ Xforia Global Talent & Technology Solutions

Halifax, Nova Scotia

Contract
Apply now
SIGNALS

Responsibilities:

  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.

Requirements summary:

  • Strong experience in Python Scripting and PySpark for data processing
  • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
  • Strong understanding of healthcare insurance domain and experience leading data engineering teams
  • Experience in Agile environments.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-09
First seen by our source
2026-11-10
Source record updated
2026-11-10

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Xforia Global Talent & Technology Solutions

Job description

Position: Senior Data Engineer

Location: Halifax, Canada (Hybrid)

Duration: Contract

Tech Skills:

  • Strong experience in Python Scripting and PySpark for data processing
  • Proficiency in SQL, dealing with big data processing
  • Experience in AWS cloud platform and its data services (S3, Redshift, Lambda, EMR, Airflow, Glue)
  • Expertise in BASH/Shell scripting
  • Strong understanding of healthcare insurance domain and experience leading data engineering teams
  • Experience in Agile environments.
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills.

Responsibilities:

  • Leads development of data pipelines and architectures that handle large-scale data sets.
  • Designs, constructs, and tests data architecture aligned with business requirements.
  • Provides technical leadership for data projects, ensuring best practices and high-qualitydata solutions.
  • Collaborates with product, finance, and other business units to ensure data pipelines meet business requirements.
  • Oversees development of data solutions that enable predictive and prescriptive analytics.
  • Ensures the technical quality of solutions, managing data as it moves across environments.
  • Aligns data architecture to Healthfirst solution architecture.

Similar jobs

  • Data Engineer / Python Developer

    LaSalle, ON
    Full Time

    SIDRAM TECHNOLOGIES

    Good working experience with python to develop Custom Framework for generating of rules (just like rules engine); Required Skills

  • Senior Data Engineer – Capital Markets (Databricks)

    Mississauga, ON
    Contract

    Precision Technologies

    Experience: 8+ Years; Candidates with strong Databricks development experience, advanced Python/PySpark and SQL skills, and a background in Capital Markets or Investment Banking will be highly preferred; Develop and…

  • Data Engineer

    Montréal, QC
    Contract

    Keasis

    5+ YOECandidates need 5 to 7 years of data engineering experience, strong Python and PySpark skills, and solid SQL and cloud data platform knowledge. Client-facing communication skills are essential.

    PySpark, Python, Spark SQL, Git, Apache Airflow

  • Junior Data Engineer – Azure Databricks / ADF / PySpark

    Toronto, ON
    Contract

    ThoughtStorm

    Candidates need a degree or diploma in computer science, software engineering, IT or a related field, plus hands-on Azure data engineering experience. Strong Python, SQL and PySpark skills, along with Agile teamwork, are required.

    Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure DevOps, Git, Apache Spark

  • Data Engineer

    Toronto, ON

    Scotiabank

    3+ YOECandidates need 3 to 5 years of data engineering experience, strong SQL and data modeling skills, and experience owning production pipelines on enterprise platforms in Google or Azure cloud. Experience with Spark, Python, NiFi, Trino, Autosys or Cloud Composer, and Power BI is expected.

    Spark, NiFi, Trino, Autosys, Cloud Composer, Power BI

  • Senior Data Engineer

    Montréal, QC
    Full Time

    Foresight

    5+ YOECandidates need 5+ years of building production data pipelines, strong Python and advanced SQL, and deep relational data modeling in Postgres. They also need experience with messy data, workflow orchestration, AWS data services and a testing mindset for data.

    AWS S3, Python, SQL

  • Data Engineer - MS Fabric & Azure Data Platform

    Toronto, ON
    Contract

    Akkodis

    5+ YOECandidates need 5+ years of data engineering experience, including hands-on Microsoft Fabric work in production and strong Azure Data Factory and advanced T-SQL skills. Experience designing dimensional and enterprise warehouse models and knowledge of data governance and cloud architectures are also required.

    Microsoft Fabric, Azure Data Factory, T-SQL, Dynamics 365, Microsoft Dataverse, Power BI

Locations & environments

Locations

All of CanadaRemote · Hybrid · On-site · Field

Pro tip: add remote jobs to widen your search.

Exclude locations

Workplace type

Company jobs in these results

These are this company’s jobs loaded in your current search. The company may have more openings.