Mid Data Engineer supporting complex data governance and analytics initiatives with a focus on data pipelines. Collaborating with stakeholders on ETL improvements and data quality execution.
Responsibilities
We are looking for two Mid to Senior Data Engineers to join our team and support complex data governance and analytics initiatives. The roles involve managing data pipelines and contributing to large-scale projects involving CRM, banking data, and advanced analytics environments such as Databricks.**Technologies: SQL, SAS Viya or Dataflux, Databricks, CRM, Banking Data Pipelines
Key Responsibilities
Analyze, design, and optimize complex data pipelines across CRM and banking data environments.
Work with stakeholders to redesign or rebuild existing ETL and reporting flows to improve efficiency, quality, and performance.
Ensure data governance processes are implemented and aligned with industry standards.
Develop and maintain workflows using tools such as SAS Viya or Dataflux, where applicable.
Participate in the definition and execution of data quality rules and lineage tracking.
Collaborate with Data Architects and Analysts to ensure data assets are consistent, secure, and accessible.
Requirements
Requirements
3-4 years of experience in data engineering, with demonstrated experience in data pipeline design and optimization.
Strong SQL skills and experience working with large data sets.
Hands-on experience with either SAS Viya, Dataflux, or similar governance tools.
Familiarity with Databricks, Spark, or similar platforms for distributed data processing.
Experience working on CRM or banking data environments.
Ability to analyze and refactor legacy pipelines and reports.
Understanding of data quality frameworks and data stewardship best practices.
Bachelor’s degree in Computer Science, Data Engineering, or related field.
Fluency in English (spoken and written).
Benefits
Why join inventYOU
Work in a highly skilled and motivated team.
Gain access to modern tools and data environments (Databricks, SAS Viya, etc.).
Competitive compensation tailored to your expertise and role level.
Full - Stack Data Engineer designing and optimizing complex data solutions for automotive content. Collaborating with teams to enhance user experience across MOTOR's product lines.
Principal Data Engineer designing and evolving enterprise data platform. Collaborating with analytics teams to enable AI and data products at American Tower.
BI Data Engineer II supporting scalable Lakehouse data pipelines at Boston Beer Company. Collaborating with stakeholders to drive data ingestion and maintain enterprise data quality.
Senior Data Engineer at A Kube Inc responsible for building and maintaining data pipelines for product performance. Collaborating with product, engineering, and analytics teams to ensure data quality and efficiency.
Data Engineer engineering DUAL Personal Lines’ strategic data platforms for global insurance group. Providing technical expertise in data engineering and collaborating with internal teams for solution delivery.
Data Engineer role focused on creating and monitoring data pipelines in an innovative energy company. Collaborate with IT and departments to ensure quality data availability in a hybrid work environment.
SQL Migration Data Engineer at Auxo Solutions focusing on Azure SQL/Fabric Lakehouse migrations and building data pipelines. Collaborating on technical designs and data governance for modernization initiatives.
Data Engineer developing cloud solutions and software tools on Microsoft Azure big data platform. Collaborating with various teams for data analysis and visualization in healthcare.