Sr. Data Engineer
About The Position
Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for moderate scenarios. Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists. Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. Works independently with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools. Is beginning to provide coaching to junior associates.
Requirements
- High School Diploma or equivalent required.
- 5-7 years of related experience required.
- Possesses strong technical aptitude.
- Advanced experience in SQL, Spark (Scala or Python), Spark SQ or equivalent.
- Advanced experience in dimensional modeling- – Snowflake database technology.
- Advanced Experience building data pipelines to transform data as business logic.
- Advanced knowledge and understanding with pipeline orchestration– dBT, AWS, SSIS.
- Advanced understanding of cloud computing environments.
- Advanced experience with BI visualizations such as Power BI, Tableau etc.
- Strong verbal communication and listening skills.
- Demonstrated experience interacting with executive and senior leadership stakeholders around the topics of data access, quality, appropriate use, metric definitions and standardization.
Nice To Haves
- Bachelor's degree preferred.
Responsibilities
- Consults on data projects of varying complexity, with minimal coaching and guidance, to understand design requirement and existing business processes to lead in the design, development, and implementation of data products.
- Practices code management and integration with current architectural and data governance guidelines with minimal oversight.
- Produces advanced data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research exploration independently.
- Creates business user access methods to structured and unstructured data.
- Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation of data content.
- Translates business data stories into a technical story breakdown structure and work estimate for a schedule or planned agile sprint.
- Develops and maintains advanced to complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity.
- Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and assistance as requested.
- Applies extensive knowledge of data governance concepts and applies them across multiple scenarios.
- Delivers on complex projects with some vague timelines.
- Develops data project plans and executes independently.
- Performs other duties as assigned.
Benefits
- Competitive salary commensurate with experience, qualifications and location
- Bonus Opportunity (based on Company and Individual Performance)
- 401(k)
- Medical
- Dental
- Vision
- Health Savings and Flexible Spending Accounts
- Life Insurance
- Paid Time Off
- Paid Parental Leave
- Tuition Assistance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
High school or GED
