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Job Summary

The Senior Professional, Data Engineering job designs, builds and maintains complex data systems that enable data analysis and reporting. With minimal supervision, this job ensures that large sets of data are efficiently processed and made accessible for decision making.

Essential Functions

• DATA INFRASTRUCTURE: Prepares data infrastructure to support the efficient storage and retrieval of data.
• DATA FORMATS: Examines and resolves appropriate data formats to improve data usability and accessibility across the organization.
• DATA & ANALYTICAL SOLUTIONS: Develops complex data products and solutions using advanced engineering and cloud based technologies, ensuring they are designed and built to be scalable, sustainable and robust.
• DATA PIPELINES: Develops and maintains streaming and batch data pipelines that facilitate the seamless ingestion of data from various data sources, transform the data into information and move to data stores like data lake, data warehouse and others.
• DATA SYSTEMS: Reviews existing data systems and architectures to identify areas for improvement and optimization.
• STAKEHOLDER MANAGEMENT: Collaborates with multi-functional data and advanced analytic teams to gain requirements and ensure that data solutions meet the functional and non-functional needs of various partners.
• DATA FRAMEWORKS: Builds complex prototypes to test new concepts and implements data engineering frameworks and architectures that improve data processing capabilities and support advanced analytics initiatives.
• AUTOMATED DEPLOYMENT PIPELINES: Develops automated deployment pipelines improving efficiency of code deployments with fit for purpose governance.
• DATA MODELING: Performs complex data modeling in accordance to the datastore technology to ensure sustainable performance and accessibility.

Minimum and Typical Years of Experience

Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.

Preferred Experience: 

• Experience developing modern data architectures, such as data warehouses, data lakes, data meshes, hubs and associated capabilities including ingestion, governance, modeling, observability and more
• Experience with transformation and modeling tools, including SQL based transformation frameworks, orchestration and quality frameworks such as dbt, Apache Nifi, Talend, AWS Glue, Airflow, Dagster, Great Expectations, Oozie and others
• Strong experience of working in devops models with demonstratable understanding of associated best practices for code management, continuous integration, and deployment strategies

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Information for Minnesota Based Candidates

 Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law.

The expected salary for this position is $130,000-170,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance.