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Data Engineer (Data Modeling/Data Governance)

Pay
Pay not listedSimilar roles state $127K–$190K
Work setting
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Employment
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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20261 day ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

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How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,704 similar postings that came down. Coming down is not always a hire.

The Bank of Nova Scotia P is hiring

49 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

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  • Python
  • SQL
  • BigQuery
  • GCP
  • Airflow
Where the posting names them
We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment. The ideal candidate will have strong hands-on experience in data engineering, data modeling, data warehouse development, and building data products, with expertise in GCP, BigQuery, Apache Airflow, Informatica, Python, SQL, and Git. A strong focus on data governance, data quality, security, and privacy is essential. Is this role right for you? In this role, you will:
- Design, build, and support scalable data pipelines, data warehouses, data models, and data products. - Develop cloud-based data solutions using GCP, BigQuery, Apache Airflow, Informatica, Python, and SQL. - Design conceptual, logical, physical, and dimensional data models.
- Strong analytical, problem-solving, and documentation skills. - Strong hands-on experience with: GCP and BigQuery, Apache Airflow, Informatica, Python and SQL, Git, Data modeling and dimensional modeling, Data warehouse design and development, ETL/ELT and data pipeline engineering, Data product development, Data governance, metadata, lineage, and data quality, Data security, privacy, and access control, SDLC and release management - Excellent written and verbal communication skills.

Your next step

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

 

Requisition ID: 274855

 

At Tangerine, we’re redefining banking. As Canada’s leading digital bank, we thrive on innovation, agility, and bold thinking, tackling every challenge head-on with leading technology and the unstoppable power of collaboration. 

 

Our client-obsessed teams deliver flexible, accessible banking solutions, breakthrough products, and award-winning service. Beyond banking, we’re committed to making an impact in the communities we serve and across our organization. We foster a culture built on integrity, inclusion, and fearless ambition – where diverse perspectives are valued, and people are empowered to do their best work. 

 

Are you ready to disrupt the status quo? Do you crave challenges that push boundaries? If you’re a high performer looking to accelerate your career and reimagine the banking landscape, this is your moment. 

 

Let’s shape the future of banking together! 

 

Position Overview

 

We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.

The ideal candidate will have strong hands-on experience in data engineering, data modeling, data warehouse development, and building data products, with expertise in GCP, BigQuery, Apache Airflow, Informatica, Python, SQL, and Git. A strong focus on data governance, data quality, security, and privacy is essential.

 

Is this role right for you? In this role, you will:

 

  • Design, build, and support scalable data pipelines, data warehouses, data models, and data products.
  • Develop cloud-based data solutions using GCP, BigQuery, Apache Airflow, Informatica, Python, and SQL.
  • Design conceptual, logical, physical, and dimensional data models.
  • Build reliable ETL/ELT processes and optimize data transformation workloads.
  • Apply data governance, metadata, lineage, data quality, security, privacy, and access-control principles throughout solution design and development.
  • Troubleshoot data and technical issues and recommend effective solutions.
  • Produce clear technical documentation covering data models, data flows, designs, and operational processes.
  • Collaborate with business, architecture, governance, security, and technology teams.
  • Participate throughout the SDLC, including design, development, testing, deployment, release, and production support.
  • Provide technical guidance and support engineering best practices.

 

Do you have the skills that will enable you to succeed in this role? We'd love to work with you if you have:

 

  • University or College degree in a relevant field, or equivalent professional experience.
  • 5+ years of experience in data engineering, data management solution design, and development.
  • Strong experience in data modeling, data warehouse development, ETL/ELT, and data product development.
  • Strong financial services background, with retail banking knowledge preferred.
  • Proven ability to work effectively with technical and business stakeholders.
  • Strong analytical, problem-solving, and documentation skills.
  • Strong hands-on experience with: GCP and BigQuery, Apache Airflow, Informatica, Python and SQL, Git, Data modeling and dimensional modeling, Data warehouse design and development, ETL/ELT and data pipeline engineering, Data product development, Data governance, metadata, lineage, and data quality, Data security, privacy, and access control, SDLC and release management
  • Excellent written and verbal communication skills.
  • Strong analytical and problem-solving abilities.
  • Strong collaboration and stakeholder-management skills.
  • Commitment to data quality, governance, security, reliability, and maintainability.
  • Positive, proactive attitude with the ability to influence, lead, and mentor others.

 

What's in it for you?

 

  • You will be part of a diverse and inclusive team of Client-focused go-getters looking to learn from each other in an environment that celebrates and recognizes success!
  • You will have access to thousands of online and in person courses so you can shape your career growth with the support from diverse industry leaders.
  • You will get our help to save for your future and to invest in your total wellbeing through our Tangerine benefits*.
  • You belong here, we are equal and un-complicated. Bring your true self to work, dress codes don’t apply here.
  • You will enjoy workspace flexibility and all the excitement that comes from working at the official Bank of the Toronto Raptors.

 

*Tangerine employees participate in Scotiabank’s pension & benefits programs (available to permanent employees)

Location(s):  Canada : Ontario : Toronto

At Tangerine we value the unique skills and experiences each individual brings to the team, and are committed to creating and maintaining an inclusive and accessible environment. If you require accommodation during the recruitment and selection process, please let our Recruitment team know.

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Toronto, ON, CA, M2H0A1

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