Data Engineer

A bit about us:

Leading provider of poultry and meat solutions throughout California, the Pacific Northwest, Arizona, Texas, Nevada and New Mexico. Our company was built with two principles in mind: make a quality product and provide the best customer service possible

Why join us?

We grow our people to grow our business. We champion great people who bring ambition, curiosity, and high performance to the table as the guardians of our beloved and nostalgic brands. Good isn't good enough. We choose greatness every day by challenging the ordinary and making bold decisions. All while celebrating our wins - and our failures - as we work together to lead the future of food.

Great Benefits and compensation package
Great work culture and leadership
Competitive health, dental, life, and 401-k benefits.

Job Details

Job Details:

Our company, a leading player in the manufacturing industry, is currently seeking an experienced and dynamic Data Engineer to join our team. The successful candidate will be responsible for developing, testing, and maintaining architectures such as databases and large-scale processing systems, ensuring our data remains secure, accessible, and optimized. This is a full-time, permanent position offering the opportunity to work with a dedicated team of professionals in a fast-paced, innovative environment.

Key Responsibilities:

Data Infrastructure Development:

• Design, build, and maintain scalable and robust data pipelines to support data ingestion, processing, and storage.
• Assist with the develop of ETL (Extract, Transform, Load) processes to ensure data is accurate, consistent, and available for analysis.
• Collaborate with internal team members and analytics teams to integrate data from various sources, including databases, APIs, and third-party platforms.

Data Quality and Governance:

• Implement data quality checks and validation processes to ensure data accuracy and completeness.
• Develop and enforce data governance policies and best practices across the organization.
• Maintain comprehensive documentation of data sources, structures, and processes.

Collaboration and Support:

• Work closely with external data analysts, external data scientists, and internal business stakeholders to understand data needs and deliver actionable insights.
• Provide technical support and guidance to team members and other departments as needed.
• Stay updated with the latest industry trends and technologies, recommending and implementing improvements to our data infrastructure.

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
• Proven experience as a Data Engineer or in a similar role, with a strong focus on data infrastructure and analytics.
• Proficiency in SQL and experience with database management systems (e.g., PostgreSQL, MySQL, SQL Server).
• Experience with data pipeline and ETL tools (e.g., Snowflake, Apache Nifi, Apache Airflow, Talend).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
• Strong programming skills in languages such as Python, Java, or Scala.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration abilities.

Preferred Qualifications:

• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience in the food industry or a similar sector.

Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

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