Wisconsin Staffing
Sr. Data Engineer
Medica is seeking an experienced Sr. Data Engineer with a background in extraction, transformation, and loading (ETL) of data from a variety of sources. These robust and scalable solutions will support Medica's claims and financial platforms. This role is ideal for an innovative and highly technical thinker who thrives in a mission-driven, healthcare-focused organization and is passionate about ensuring efficiency, scalability, financial integrity and compliance. The ideal candidate is a technical generalist with strong system design expertise and a proven ability to bridge strategy and execution across diverse technologies. Design, build, implement, and maintain data storage structures and processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable efficient, cost-effective consumption and analysis of data. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing, including modern cloud platforms such as Snowflake, Azure, AWS, and data integration tools like Apache Airflow, dbt, Informatica Intelligent Data Management Cloud (IDMC), and distributed processing frameworks such as Apache Spark. Key Responsibilities: Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. Ensuring data quality, integrity, and security across all stages of the data lifecycle. Collaborating with stakeholders to define data requirements and translate them into technical specifications. Monitoring and optimizing performance of data systems and ETL processes. Supporting the deployment and maintenance of data infrastructure in cloud environments. Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting. Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows. In addition to engineering responsibilities, the Data Generalist component of this role includes: Performing exploratory data analysis and generating actionable insights. Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel. Collaborating with cross-functional teams to align data efforts with business goals. Qualifications: Bachelors degree in computer science, Engineering, or related field desired, or equivalent work experience. 7+ years of experience in software engineering or technical architecture. Strong understanding of system design principles and data storage structures, ideally in a cloud-based environment (Azure, SnowPro, Snowflake). Proficiency writing complex SQL or Python queries. Excellent collaboration and communication skills.
Medica is seeking an experienced Sr. Data Engineer with a background in extraction, transformation, and loading (ETL) of data from a variety of sources. These robust and scalable solutions will support Medica's claims and financial platforms. This role is ideal for an innovative and highly technical thinker who thrives in a mission-driven, healthcare-focused organization and is passionate about ensuring efficiency, scalability, financial integrity and compliance. The ideal candidate is a technical generalist with strong system design expertise and a proven ability to bridge strategy and execution across diverse technologies. Design, build, implement, and maintain data storage structures and processing pipelines for the extraction, transformation, and loading (ETL) of data from a variety of sources. Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable efficient, cost-effective consumption and analysis of data. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing, including modern cloud platforms such as Snowflake, Azure, AWS, and data integration tools like Apache Airflow, dbt, Informatica Intelligent Data Management Cloud (IDMC), and distributed processing frameworks such as Apache Spark. Key Responsibilities: Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics. Ensuring data quality, integrity, and security across all stages of the data lifecycle. Collaborating with stakeholders to define data requirements and translate them into technical specifications. Monitoring and optimizing performance of data systems and ETL processes. Supporting the deployment and maintenance of data infrastructure in cloud environments. Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting. Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows. In addition to engineering responsibilities, the Data Generalist component of this role includes: Performing exploratory data analysis and generating actionable insights. Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel. Collaborating with cross-functional teams to align data efforts with business goals. Qualifications: Bachelors degree in computer science, Engineering, or related field desired, or equivalent work experience. 7+ years of experience in software engineering or technical architecture. Strong understanding of system design principles and data storage structures, ideally in a cloud-based environment (Azure, SnowPro, Snowflake). Proficiency writing complex SQL or Python queries. Excellent collaboration and communication skills.