Sr. Data & Analytics Engineer

Ocean Spray is hiring for a(n) Sr. Data & Analytics Engineer! We’re a team of farmers, thinkers, creators, and doers. Whatever your title, whatever your role — it always comes back to this: we’re a farmer-owned co-op where everyone rolls up their sleeves to get the job done. Three maverick farmers started it all — and we’ve been making our own way ever since. 

Position Location: We're all about flexibility. This will be a remote role based out of our corporate headquarters in Lakeville, MA. We are open to remote candidates.

The Sr. Data & Analytics Engineer is responsible for the end to end data pipelines to power analytics and data services. This role is focused on data engineering to build and deliver automated data pipelines from a plethora of internal and external data sources. The Data Engineer will partner with product owners, engineering, and data platform teams to design, build, test and automate data pipelines that are relied upon across the company as the single source of truth.

Responsible for developing and operationalizing data pipelines to make data available for consumption (reports and advanced analytics). This includes data ingestion, data transformation, data validation / quality, data pipeline optimization, orchestration; and engaging with DevOps Engineer during CI / CD. The role requires a grounding in programming and SQL, followed by expertise in data storage, modeling, cloud, data warehousing, and data lakes. The Data Engineer works closely with Data Architects, Data Scientists and BI Engineers to design and maintain scalable data models and pipelines

A Day in the Life...

• Familiar with networking configuration of VNET’s/Subnets, NSGs, Layer 4 vs 7, etc. and collaborate with Networking team on implementations. 

• Identifying and ensuring IAM/RBAC is configured to security best practices. 

• Experience in one or more automation languages (Bash, PowerShell, Python, NodeJS) 

• Manage and automate Day 2 ops with enterprise monitoring using agent/agentless approach  

• Develop and design data pipelines to support an end-to-end solution. 

• Proven expertise with extracting data from a wide variety of sources and transforming the data as needed. 

• Participate in development and maintenance of Data warehouses. 

• Provide technical design, coding assistance to the team to accomplish the project deliverables as planned/scoped. 

• Develop and maintain artifacts i.e., schemas, data dictionaries, and transforms related to ETL processes. 

• Manage production data within multiple datasets ensuring fault tolerance and redundancy. 

• Collaborate with the rest of data engineering team to design and launch new features. Includes coordination and documentation of dataflows, capabilities, etc. 

• Understanding and applying analytical skills for cloud consumption and cost optimizations  

 

 

 

What We Are Looking For:

Required 

• High attention to detail with strong problem-solving skills 

• Ability to work independently as a self-starter, and within a team environment. 

• Advanced degree in CS/MIS equivalent relevant experience with focus on cloud and engineering. 

• Experience with cloud native engineering: Microsoft Azure (preferred). 

• Have hands on experience with cloud-based warehousing, Snowflake preferred. 

• Required experience with building and management of Kubernetes architecture: storage, ingress, cert/cluster issuer, node pools. Kubernetes certification would be beneficial to have. 

• Experience with data/software engineering Dev (