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Day 103
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Data Engineer
Location not stated
Open 3 months, first seen by us 103 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Contract — employment source
Employment type in the employer’s posting: Contractor
From the employer’s posting
What you’ll work on
Full postingDesign, build and maintain scalable data pipelines with Azure Databricks and Spark
Develop and optimize ETL/ELT processes using Azure Data Factory and Databricks
Implement change data capture (CDC) for near-real-time data synchronization
Write Python code for data processing and automation
Monitor, troubleshoot and optimize pipeline performance, reliability and cost
From the employer’s posting
Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark
Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks
Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization
Write clean, efficient, and maintainable code in Python for data processing and automation
Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools
Posting record
Report an errorOpen 3 monthsWe first saw this posting 103 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jul 24, 2026103 days ago
- Recorded sightings
- 47
- Last seen by us
- Nov 4, 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
Blanc Labs is hiring
5 open jobs
- Takes jobs down at a usual pace
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.
- Python
- SQL
- Azure
- Databricks
- Delta Lake
- Power BI
- Spark
Where the posting names them
- Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization, leveraging tools such as Azure SQL CDC, Debezium, or Databricks native CDC (Delta Live Tables) - Write clean, efficient, and maintainable code in Python for data processing and automation - Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs on Azure Synapse Analytics / Azure Databricks
- Experience implementing CDC solutions and tools (e.g., Debezium, Azure SQL CDC, or Delta Live Tables) - Strong programming skills in Python for data engineering tasks - Solid understanding of SQL and relational database concepts, particularly within Azure SQL Database / SQL Managed Instance
- Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks - Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization, leveraging tools such as Azure SQL CDC, Debezium, or Databricks native CDC (Delta Live Tables) - Write clean, efficient, and maintainable code in Python for data processing and automation
- Proficiency with Apache Spark for large-scale distributed data processing - Experience implementing CDC solutions and tools (e.g., Debezium, Azure SQL CDC, or Delta Live Tables) - Strong programming skills in Python for data engineering tasks
- Strong programming skills in Python for data engineering tasks - Solid understanding of SQL and relational database concepts, particularly within Azure SQL Database / SQL Managed Instance - Experience building and maintaining ETL/ELT pipelines in production environments using Azure Data Factory and/or Databricks Workflows
What You'll be Doing: - Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark - Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks
- Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark - Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks - Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization, leveraging tools such as Azure SQL CDC, Debezium, or Databricks native CDC (Delta Live Tables)
- Write clean, efficient, and maintainable code in Python for data processing and automation - Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs on Azure Synapse Analytics / Azure Databricks - Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools
- Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs on Azure Synapse Analytics / Azure Databricks - Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools - Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake
- Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools - Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake - Support integration of structured and unstructured data sources into unified data platforms built on Microsoft Fabric / Azure Synapse
- Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake - Support integration of structured and unstructured data sources into unified data platforms built on Microsoft Fabric / Azure Synapse - Participate in code reviews and promote data engineering best practices across the team
- 3+ years of experience in data engineering or a related field - Strong hands-on experience with Azure Databricks for data processing and analytics workloads - Proficiency with Apache Spark for large-scale distributed data processing
- Solid understanding of SQL and relational database concepts, particularly within Azure SQL Database / SQL Managed Instance - Experience building and maintaining ETL/ELT pipelines in production environments using Azure Data Factory and/or Databricks Workflows - Understanding of data modeling principles and data warehousing concepts, including Azure Synapse Analytics dimensional/lakehouse modeling
- Experience building and maintaining ETL/ELT pipelines in production environments using Azure Data Factory and/or Databricks Workflows - Understanding of data modeling principles and data warehousing concepts, including Azure Synapse Analytics dimensional/lakehouse modeling - Strong analytical and problem-solving skills
- Document data pipelines, transformations, and architecture for team visibility and maintainability - Collaborate with cross-functional teams to support analytics, reporting (Power BI), and downstream AI/ML use cases What You'll Need to Be Successful:
- Strong hands-on experience with Azure Databricks for data processing and analytics workloads - Proficiency with Apache Spark for large-scale distributed data processing - Experience implementing CDC solutions and tools (e.g., Debezium, Azure SQL CDC, or Delta Live Tables)
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
Blanc Labs is a premier partner for global enterprises, leading the way in digitization, automation, and the development of next-generation digital products and services. Our expertise in digital transformation powers businesses to accelerate service delivery, drive customer engagement, and foster growth.
We are seeking a skilled Data Engineer with expertise in modern data platforms and real-time data integration to design, build, and maintain scalable data pipelines that power enterprise analytics and business intelligence. This role is ideal for someone who enjoys solving complex data engineering challenges and thrives working with distributed data processing frameworks.
What You'll be Doing:
- Design, build, and maintain scalable data pipelines using Azure Databricks and Apache Spark
- Develop and optimize ETL/ELT processes to ingest, transform, and load data from diverse source systems using Azure Data Factory and Azure Databricks
- Implement Change Data Capture (CDC) solutions to enable real-time and near-real-time data synchronization, leveraging tools such as Azure SQL CDC, Debezium, or Databricks native CDC (Delta Live Tables)
- Write clean, efficient, and maintainable code in Python for data processing and automation
- Collaborate with data architects and analysts to translate business requirements into robust data pipeline designs on Azure Synapse Analytics / Azure Databricks
- Monitor, troubleshoot, and optimize data pipeline performance, reliability, and cost efficiency using Azure Monitor and Databricks observability tools
- Ensure data quality, consistency, and integrity across ingestion, transformation, and storage layers, including Azure Data Lake Storage (ADLS Gen2) and Delta Lake
- Support integration of structured and unstructured data sources into unified data platforms built on Microsoft Fabric / Azure Synapse
- Participate in code reviews and promote data engineering best practices across the team
- Document data pipelines, transformations, and architecture for team visibility and maintainability
- Collaborate with cross-functional teams to support analytics, reporting (Power BI), and downstream AI/ML use cases
What You'll Need to Be Successful:
- 3+ years of experience in data engineering or a related field
- Strong hands-on experience with Azure Databricks for data processing and analytics workloads
- Proficiency with Apache Spark for large-scale distributed data processing
- Experience implementing CDC solutions and tools (e.g., Debezium, Azure SQL CDC, or Delta Live Tables)
- Strong programming skills in Python for data engineering tasks
- Solid understanding of SQL and relational database concepts, particularly within Azure SQL Database / SQL Managed Instance
- Experience building and maintaining ETL/ELT pipelines in production environments using Azure Data Factory and/or Databricks Workflows
- Understanding of data modeling principles and data warehousing concepts, including Azure Synapse Analytics dimensional/lakehouse modeling
- Strong analytical and problem-solving skills
- Good communication skills, with the ability to work across technical and business teams
Blanc Labs is enabling a digital future. Headquartered in Toronto, we partner with clients in North & South America to digitize and automate their operations and build their next generation of digital products and services. We empower clients to enhance their digital offerings and bring creative solutions to the market faster. Learn more at www.blanclabs.com.
Blanc Labs is an equal opportunity employer and is committed to providing employment in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. Accommodations within reason due to a disability or medical need are available on request for candidates taking part in the recruitment process.
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