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Data Engineer

Mastech Digital • Dallas, TX

Mid-Senior level Posted March 26, 2026 Job link

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Requirements

Data Modeling
Basic PLSQL and SQL knowledge - perform analysis
6+ years of related experience in data engineering, analysis, data warehouses, data lakes.
Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers, specifically with Azure Data Factory.
Strong expertise with building and managing data pipelines in Azure Data Factory; using various Data Sources and APIs.
Experience in Microsoft power platform and developing power automate flows for data integration would be advantageous.
Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to complete product roadmaps to enable new insights with our data.
Experience with DevOps, Continuous Integration and Continuous Delivery.
Developing and deploying pipelines.
Deploying within a cloud native infrastructure would be advantageous.
Able to work collaboratively with a geographically diverse team.
Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.
Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (e.g.
Power Designer).
Experience in working with AWS, MS Azure or other cloud providers.
Experience with AWS services such as Lambda or S3, AWS Certification.
Strong Focus on resiliency & reliability.
You have excellent written and oral communication skills.

Preferred Skills

Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
Experience in Microsoft power platform and developing power automate flows for data integration would be advantageous.
Deploying within a cloud native infrastructure would be advantageous.
Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (e.g.
Experience in working with AWS, MS Azure or other cloud providers.
Experience with AWS services such as Lambda or S3, AWS Certification.
Experience in Data Architecture (Database design, performance optimization) would be advantageous.
Strong Focus on resiliency & reliability.
You have excellent written and oral communication skills.

Education

(Not required) – Data integration platforms The Expertise and Skills You Bring Bachelors or Masters in a technology related field (e.g.
(Required) – Computer Science, engineering etc.) required.

Westlake TX Data Engineer Westlake TX/ Merrimack NH Must have skills: Azure Data Factory/ETL
Data Modeling
Basic PLSQL and SQL knowledge - perform analysis
Data integration platforms The Expertise and Skills You Bring Bachelors or Masters in a technology related field (e.g. Computer Science, engineering etc.) required.
6+ years of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
Strong experience with relational database technologies (Oracle SQL & PL/SQL or similar RDBMS), preferably Snowflake or other Cloud Data warehousing services.
Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers, specifically with Azure Data Factory.
Strong expertise with building and managing data pipelines in Azure Data Factory; using various Data Sources and APIs.
Experience in Microsoft power platform and developing power automate flows for data integration would be advantageous.
Proven experience in understanding multi-functional enterprise data, navigating between business analytic needs and data, and being able to work hand-in-hand with other members of technical teams to complete product roadmaps to enable new insights with our data.
Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines. Deploying within a cloud native infrastructure would be advantageous.
Able to work collaboratively with a geographically diverse team.
Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding best practices.
Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
Knowledge and expertise of data modelling techniques and best practices (Relational, Dimensional), plus any prior experience with data modelling tools (e.g. Power Designer).
Experience in working with AWS, MS Azure or other cloud providers. Experience with AWS services such as Lambda or S3, AWS Certification.
Experience in Data Architecture (Database design, performance optimization) would be advantageous.
Strong Focus on resiliency & reliability.
You have excellent written and oral communication skills.