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Day 195
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Reads like a Data Engineer role: pipelines and data infrastructure.
Johannesburg
Open 6 months, first seen by us 195 days agoWork setup in the employer’s posting: remoteFrom the employer’s posting
Employment type Full-time
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Build and maintain pipelines that ingest data from Salesforce and other sources
Build and maintain dbt models using Medallion architecture for BI tools
Monitor and implement data warehouse enhancement requests from the BI team
Work with team members across different time zones
Build and maintain pipelines to ingest data from Salesforce and various other data sources
Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools
monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
Work collaboratively with team members in different timezones
3+ years experience in data engineering
Experience working with Snowflake, dbt and Tableau is essential
Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow
Experience in maintaining dimensional data models with Type 2 SCDs and star schemas
Experience in maintaining data warehouses on SQL Server
Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 195 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
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Day 195
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,948 similar postings that came down. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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Lyra Health is the leading provider of mental health solutions for employers supporting more than 20 million people globally. The company has delivered 13 million sessions of mental health care, published more than 20 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. Role OverviewThe international data team is undergoing a complete transformation of their data architecture, migration from a legacy SQL server, Azure Data Factory, SSAS and Power BI stack to Snowflake, dbt, Airflow, Tableau and Sigma. This opportunity will give the successful candidate a chance to share knowledge about best practices with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch.
- Experience in maintaining dimensional data models with Type 2 SCDs and star schemas - Experience in maintaining data warehouses on SQL Server - Experience working with Snowflake, dbt and Tableau is essential
- 3+ years experience in data engineering - Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow - Experience in building dbt models to transform data using Medallion architecture
Role OverviewThe international data team is undergoing a complete transformation of their data architecture, migration from a legacy SQL server, Azure Data Factory, SSAS and Power BI stack to Snowflake, dbt, Airflow, Tableau and Sigma. This opportunity will give the successful candidate a chance to share knowledge about best practices with Snowflake and dbt with the team, as well as a chance to build data infrastructure from scratch. Key Responsibilities:
- Build and maintain pipelines to ingest data from Salesforce and various other data sources - Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools - Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
- Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow - Experience in building dbt models to transform data using Medallion architecture - Experience in maintaining dimensional data models with Type 2 SCDs and star schemas
- Experience in maintaining data warehouses on SQL Server - Experience working with Snowflake, dbt and Tableau is essential In accordance with the Employment Equity Act, preference will be given to suitably qualified candidates from designated groups, including persons with disabilities.
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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.
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.
Build and maintain pipelines to ingest data from Salesforce and various other data sources
Build and maintain dbt models to transform data using Medallion architecture for use by business intelligence tools
Work closely with our Business Intelligence team - monitoring and implementing enhancement requests for the data warehouse to meet the reporting demands of stakeholders
Work collaboratively with team members in different timezones
3+ years experience in data engineering
Experience in development of pipelines to ingest and transform data from sources using REST APIs, AWS S3 and Airflow
Experience in building dbt models to transform data using Medallion architecture
Experience in maintaining dimensional data models with Type 2 SCDs and star schemas
Experience in maintaining data warehouses on SQL Server
Full-time
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Johannesburg
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