Sr Data Engineer at Jack Link's Protein Snacks

Minneapolis, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

165000.0

Posted On

12 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, SQL, Python, Spark, Data Modeling, Data Architecture, Data Governance, Microsoft Fabric, SAP Integration, ETL Workflows, MLOps, AIOps, DevOps, Feature Engineering, Analytics

Industry

Manufacturing

Description

Company Description Running with Sasquatch is more than just a clever marketing campaign. As a Jack Link’s team member, Running with Sasquatch means we roll up our buffalo plaid sleeves and do the hard work first. We don’t shy away from challenges. In fact, we push hard and take risks. True to our North Woods roots, we're a bunch of ordinary people who accomplish extraordinary things by driving results with innovation, creativity and a clear sense of urgency. Like our awesome protein products, we have an unwavering passion for quality, and you won’t find anything artificial here. What you see is what you get…authentic, humble and fun people who Run with Sasquatch! Running with Sasquatch takes a team. We invite you to run with us, succeed with us, and celebrate with us. Most importantly, Feed Your Wild Side® with us on our journey to be the dominant global leader of branded protein snacks! Jack Link's Protein Snacks is a global leader in snacking and the No. 1 meat snack manufacturer worldwide. Still family-owned and operated with headquarters in Minong, Wisconsin, Jack Link’s also has a large corporate hub in Downtown Minneapolis, Minnesota, and operates a total of 11 manufacturing and distribution facilities in four countries. Jack Link’s produces high-quality, great-tasting protein snacks that feed the wild sides of consumers around the world. Jack Link's Protein Snacks family of brands includes Jack Link's, LK, World Kitchens Jerky, Bifi and Peperami. 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 JACK LINK’S CORE VALUES: Be Real, Speed Matters, Stewardship, Relationship Driven, Self-Discipline, and Show Awesome Character. Additional Information The salary range for this role is $135,000 - $165,000 (Annually). Actual salaries 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.

Responsibilities

The Senior Data Engineer will design and maintain scalable data pipelines for ingesting and transforming data from various sources into Microsoft Fabric. This role also involves collaborating with cross-functional teams to ensure data quality and governance while supporting analytics and automation initiatives.