Job Description

Are you ready to shape the future of data at Jack Link’s? We’re looking for a Senior Data Engineer to play a pivotal role in evolving our modern data foundation, enabling the next generation of analytics, automation, and insights. At Jack Link’s, we are building an analytics capability that fuels smarter decisions, faster innovation, and stronger business outcomes.

We’re looking for a Senior Data Engineer to lead the development of scalable, end-to-end data pipelines that power analytics, automation, and external product integrations. This full-stack role spans the entire data lifecycle—from ingestion and transformation to governance and infrastructure. A key focus area is building and maintaining scalable data pipelines from multiple data sources such as S/4HANA and Datasphere into Microsoft Fabric.

You’ll work closely with IT professionals, product owners, business relationship managers, and analytics teams to design and maintain data models, schemas, and tables that support reporting, dashboards, and ML/AI workflows. A strong focus will be on building and maintaining data pipelines; and data preparation and feature engineering to ensure data is structured, accessible, and optimized for decision-making. This role collaborates with enterprise data architects, platform engineers, and analytics product owners, and is ideal for someone who thrives in a cross-functional, product-oriented environment.

** Core Responsibilities:**

• Build & Manage Data Pipelines:
  Design and maintain scalable pipelines for ingesting, transforming, and storing data from SAP and non-SAP sources into Microsoft Fabric.

• Lead Medallion Architecture Design in Microsoft Fabric:
  Design and manage bronze, silver, and gold layer structures within Microsoft Fabric to support scalable, governed, and analytics-ready data pipelines.

• Develop in Microsoft Fabric:
  Use tools like Lakehouse, Data Warehouse, and Notebooks to process and transform data efficiently.

• Model & Prepare Data for Analytics:
  Build robust data models and perform feature engineering to support reporting, dashboards, and ML/AI use cases.

• Integrate SAP Systems:
  Connect SAP Datasphere and S/4HANA analytics into Fabric; orchestrate SAP and non-SAP data flows.

• Ensure Data Quality & Governance:
  Implement governance practices, maintain metadata, and ensure data integrity across platforms.

• Automate with Code:
  Write clean, efficient Python and SQL for ETL workflows, automation, and API development.

• Support MLOps & AIOps:
  Help deploy and monitor analytics models using modern DevOps practices.

• Collaborate & Mentor:
  Partner with business, analytics, and IT teams; mentor junior engineers and promote best practices.

Qualifications

_ Required Education:_

• Bachelor’s degree in Information Technology, Computer Science, or related field or equivalent experience.

Required Skills & Qualifications:

• 7+ years professional experience as data engineer
• Proven experience managing complex data pipelines and lakehouse architectures.
• Strong expertise in SQL, Python, and Spark.
• Deep understanding of data modeling, data architecture, and data governance.
• Familiarity with Microsoft Fabric.
• Familiarity with SAP data extraction and integration.
• Strong problem-solving skills and the ability to communicate effectively with both technical and non-technical stakeholders.
• Comfortable working in a product-oriented analytics team environment.
• Interest in building the data foundation that enables automation and advanced analytics.

** Preferred Qualifications:**

• CPG manufacturing or adjacent manufacturing and retail company experience a plus.
• Demonstrated interest and investment in professional development through ongoing education, professional certifications, participation in knowledge networks etc.
• Experience with internal analytics product development and external data product integration.
• Experience with multiple data lake/ lakehouse platforms Microsoft Fabric, Microsoft Azure, Databricks, Snowflake, and/ or GCP.
• Knowledge of DevOps practices related to data engineering.
• Familiarity with CI/CD pipelines and tools for data workflows.

Additional Information

The salary range for this role is $110,000 - $150,000 (annual). Actual rates will vary based on several factors, including but not limited to external market data, internal equity, location, and candidate skill set and experience. Base pay is just one component of Jack Link’s Total Rewards package for Team Members. Other rewards may include annual incentive and program-specific awards. Jack Link’s provides a variety of benefits to eligible Team Members, including medical, dental and vision benefits, life and disability insurance, 401k participation, paid holidays, and paid time off.

EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER:
Jack Link’s provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic that is protected by federal, state or local law.

E-VERIFY:
Jack Link’s is participant in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For information about the E-Verify program, please visit: http://www.uscis.gov/e-verify/employees

All your information will be kept confidential according to EEO guidelines.