Data Engineer

Data Engineer needed hybrid on-site for large well-established Food Manufacturer based in Los Angeles

Salary: $110,000 - $160,000 per year

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:

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.

Responsibilities:

1. Design, construct, install, test, and maintain highly scalable data management systems.
2. Collaborate with data architects, modelers, and IT team members on project goals.
3. Develop set processes for data mining, data modeling, and data production.
4. Translate complex functional and technical requirements into detailed architecture and design.
5. Ensure systems meet business requirements and industry practices.
6. Build high-performance algorithms, prototypes, predictive models, and proof of concepts.
7. Research opportunities for data acquisition and new uses for existing data.
8. Develop data set processes for data modeling, mining, and production.
9. Recommend ways to improve data reliability, efficiency, and quality.
10. Employ a variety of languages and tools to marry systems together.
11. Install and update disaster recovery procedures.

Qualifications:

1. A Bachelor's degree in Computer Science, Engineering, or related field.
2. Minimum of 5 years of experience in a Data Engineer role, preferably in the manufacturing industry.
3. Experience with data warehouse such as Redshift, BigQuery or equivalent.
4. Proven track record with data architectures including relational databases, and SQL.
5. Knowledge of big data tools: Hadoop, Spark, Kafka, etc.
6. Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
7. Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
8. Experience with stream-processing systems: Storm, Spark-Streaming, etc.
9. Proficiency in scripting languages: Python, Java, Scala, etc.
10. Strong problem-solving skills with an emphasis on product development.
11. Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop).
12. Analytical mind with a problem-solving aptitude.
13. Ability to work independently and with team members from different backgrounds.
14. Excellent communication and collaboration skills.
15. Strong attention to detail, analytical acumen, and ability to work effectively in a dynamic, fast-paced environment.

This is an exciting opportunity for a Data Engineer who is passionate about data and analytics, enjoys problem-solving, and is eager to make a significant impact in a thriving organization.