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Lead Software Engineer

  • Halifax, NS
  • On-site
  • Posted Oct 24, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level

Job summary

Leads the design, development, and testing of large-scale data pipelines and architectures aligned with business and solution architecture requirements. Provides technical leadership, ensures data quality across environments, and collaborates with business teams to deliver data solutions for predictive and prescriptive analytics.

Job details

Senior Data Engineer Position Summary The Senior Data Engineer leads complex data engineering projects, working on designing data architectures that align with business requirements. This role focuses on optimizing data workflows, managing data pipelines, and ensuring the smooth operation of data systems. Minimum Qualifications 8+ Years overall IT experience with minimum 5 years of work experience in below tech Skills 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-quality data 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.

What you’ll do

Leads the design, development, and testing of large-scale data pipelines and architectures aligned with business and solution architecture requirements. Provides technical leadership, ensures data quality across environments, and collaborates with business teams to deliver data solutions for predictive and prescriptive analytics.

Requirements

Requires at least eight years of overall IT experience, including at least five years of experience with relevant technologies such as Python, PySpark, SQL, AWS data services, and Bash or shell scripting. Candidates should also have healthcare insurance domain knowledge, experience leading data engineering teams, Agile experience, and strong problem-solving, communication, and collaboration skills.

Listed skills

  • SQL · Preferred
  • Agile · Preferred
  • Amazon Web Services · Preferred
  • Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Python
  • PySpark
  • SQL
  • AWS
  • Amazon S3
  • Amazon Redshift
  • AWS Lambda
  • Amazon EMR
  • Apache Airflow
  • AWS Glue
  • Bash
  • Shell Scripting
  • Data Pipeline Development
  • Data Architecture
  • Healthcare Insurance
  • Agile

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Management & Leadership
  • Healthcare

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