Time since we first saw it
Day 87
Up longer than most. Similar jobs usually come down between day 6 and day 55.
From 13,324 similar postings that came down. Coming down is not always a hire.
Software Engineer, Data Platform
Movable Ink - Toronto (Remote)
Live, first seen by us 87 days ago- Pay
CAD 130,000–165,000/year · Base — pay source
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience. Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
Read the full posting- Work setting
Remote — work setting source
Listed location: Movable Ink - Toronto (Remote)
Read the full posting- Employment
- Not stated
What you’ll work on
Full postingDesign and deliver data ingestion pipelines and infrastructure
Migrate legacy data lifecycle management without breaking data consumers
Set up SLIs, SLOs, dashboards and alerting for the new platform
Build a flexible data storage layer for transactional, analytic and ML workloads
Design a multi-tenant data model with secure sharing and compliance controls
From the employer’s posting
Support the design and delivery of data ingestion pipeline and infrastructure
Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
What you’ll bring
All qualificationsCore experience
- Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
- Strong familiarity with database backend technologies (OLAP vs.
- Strong familiarity with SQL with the ability to write and optimize queries
- Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
- Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
- Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
Preferred experience
- Experience designing and operating data systems on AWS; GCP experience is a plus
Qualification wording
Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
Strong familiarity with SQL with the ability to write and optimize queries
Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
Experience designing and operating data systems on AWS; GCP experience is a plus
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 16, 202687 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Movable Ink is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Elixir
- SQL
- AWS
- ClickHouse
- Databricks
- Docker
- GCP
- Kafka
- Kubernetes
- Redshift
- Terraform
- Airflow
Where the posting names them
- Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries - (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services - (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
- Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale - Strong familiarity with SQL with the ability to write and optimize queries - Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
- Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements. - Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment - Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
- (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse - Experience designing and operating data systems on AWS; GCP experience is a plus - Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control - Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale - Strong familiarity with SQL with the ability to write and optimize queries
- (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar - (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse - Experience designing and operating data systems on AWS; GCP experience is a plus
- Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment - Proficiency with containerization and orchestration technologies, including Docker and Kubernetes - Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
- (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services - (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar - (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries - Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Your next step
Complete your application on movableink.com. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
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Already applied? Track this application
Demand for Data Engineer roles
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
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
Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. The world’s most innovative brands rely on Movable Ink to maximize revenue, simplify workflow and boost marketing agility. Headquartered in New York City with close to 600 employees, Movable Ink serves its global client base with operations throughout North America, Central America, Europe, Australia, and Japan.
As an Engineer on the Data Platform team at Movable Ink, you will help design and build the systems that power how data flows through the organization. You will play a key role in developing and operating the unified data platform responsible for ingesting, processing, and exposing large volumes of data that drive Movable Ink’s products. Working closely with teammates across engineering, analytics, and infrastructure, you will build scalable ingestion pipelines and backend services that integrate data from a variety of sources while ensuring reliability, governance, and high availability across the platform. You will help evolve legacy pipelines toward modern data architectures, and help drive the unification of our products and services in how they access data. Your work will directly impact the growth and maturity of Movable Ink’s products and services.
The role will be reporting to Engineering Manager, Data Platform
Responsibilities:
- Support the design and delivery of data ingestion pipeline and infrastructure
- Assist in the successful migration of legacy data lifecycle management to new platform without disrupting existing data consumers
- Establish and maintain SLIs and SLOs for new ingestion and data platform with dashboards and alerting to track performance
- Build flexible data storage layer supporting a variety of use cases, e.g., transactional, analytic, and machine learning workloads
- Implement comprehensive monitoring, observability, and incident response practices for all event data pipelines and services
- Collaborate with product engineering, analytics, and machine learning teams to define contracts, functional requirements, and standards
- Design and implement a semantic metadata layer that classifies and labels data assets across both products, enabling consistent data discovery, exposure policies, and identification of cross-product data reuse opportunities
- Architect and deliver a multi-tenant data model that supports secure data sharing and isolation across clients, with controls designed to meet regulatory and government compliance requirements
Qualifications:
- A proven ability to learn new technologies, frameworks, and problem domains
- A focus on solving big picture problems with a focus on product and the end user
- Deep understanding of data governance principles and data lifecycle management, including data quality, lineage, retention, and access control
- Strong familiarity with database backend technologies (OLAP vs. OLTP) and when to apply each, with hands-on experience using data warehouse technologies (Databricks, Clickhouse, Redshift, etc) at production scale
- Strong familiarity with SQL with the ability to write and optimize queries
- Skill at building complex systems and identifying core primitives and how to apply them to meet changing business needs and future roadmap requirements.
- Experience designing and operating data systems on a major cloud provider (AWS or GCP) and working in a multi-cloud deployment environment
- Proficiency with containerization and orchestration technologies, including Docker and Kubernetes
- Proven ability to integrate systems, connecting legacy platforms with modern architectures through well-designed interfaces and migration strategies
- Effective communicator who can facilitate system design discussions, document architectural decisions, and work across team boundaries
- (Nice to have) Familiarity with Elixir for building concurrent, fault-tolerant data services
- (Nice to have) Experience with data pipeline and streaming technologies such as Airflow, Kafka, Apache Flink, or similar
- (Nice to have) Hands-on experience with columnar/OLAP databases such as Databricks or ClickHouse
- Experience designing and operating data systems on AWS; GCP experience is a plus
- Strong collaboration and communication skills, comfortable leading design discussions, writing technical specs, and working across team boundaries
- Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar
The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience.
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.
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Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Experience with Infrastructure-as-Code (IaC) tools such as Terraform, CloudFormation, or similar The base pay range for this position is $130,000-$165,000/year CAD, which can include additional bonus depending on the position ultimately offered, in addition to a full range of medical, financial, and/or other benefits. The base pay offered may vary depending on job-related knowledge, skills, and experience. Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger.
- Location & working pattern
Movable Ink - Toronto (Remote)
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Studies have shown that women, communities of color, and historically underrepresented people are less likely to apply to jobs unless they meet every single qualification. We are committed to building a diverse and inclusive culture where all Inkers can thrive. If you’re excited about the role but don’t meet all of the abovementioned qualifications, we encourage you to apply. Our differences bring a breadth of knowledge and perspectives that makes us collectively stronger. We welcome and employ people regardless of race, color, gender identity or expression, religion, genetic information, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, ethnicity, family or marital status, physical and mental ability, political affiliation, disability, Veteran status, or other protected characteristics. We are proud to be an equal opportunity employer.