DigiKey is one of the fastest growing distributors of electronic components in the world. In addition to offering the broadest selection of in-stock electronic components and providing the best service possible to customers, employees have access to a highly competitive benefits package. To learn more, visit our benefits and perks page.

______________________________________________________________________

Position Overview: We are seeking a highly experienced and strategic Technical Lead Data Engineer to help lead the development and optimization of our modern cloud data platform infrastructure. This role is ideal for someone who thrives in a fast-paced environment, is passionate about data architecture, and has a deep understanding of data transformation, modeling, and orchestration using modern tools like dbt-core, Snowflake, and Python.

Location: Bloomington, MN Onsite Requirements: Following the hybrid schedule of in office Monday and Wednesday

Responsibilities:

Architect and implement scalable data pipelines using dbt-core, Python, and SQL to support analytics, reporting, and data science initiatives. Design and optimize data models in Snowflake to support efficient querying and storage. Lead the development and maintenance of our data warehouse, ensuring data quality, governance, and performance. Collaborate with cross-functional teams including data analysts, data architects, data scientists, and business stakeholders to understand data needs and deliver robust solutions. Establish and enforce best practices for version control (Git), CI/CD pipelines, and data pipeline monitoring. Mentor and guide junior data engineers, fostering a culture of technical excellence and continuous improvement. Evaluate and recommend new tools and technologies to enhance the data platform. Provide on-going support for the existing ELT/ETL processes and procedures. Other duties as assigned including but not limited to possible reallocation of efforts to other organizations per business need and management request. Required Knowledge, Skills and Experience Bachelor's degree in an IT related field or relevant work experience 8+ years documented experience with ETL Tools (e.g. Informatica, Data Stage, SSIS, etc.) Expert-level proficiency in SQL and Python for data transformation and automation. Experience with dbt-core for data modeling and transformation. Strong hands-on experience cloud platforms (Microsoft Azure) and cloud data platforms (Snowflake). Proficiency with Git and collaborative development workflows. Familiarity with Microsoft VSCode or similar IDEs. Knowledge of Azure DevOps or Gitlab development operations and job scheduling tools. Solid understanding of modern data warehousing architecture, dimensional modeling, ELT/ETL frameworks and data modeling techniques. Excellent communication skills and the ability to translate complex technical concepts to non-technical stakeholders. Proven expertise in designing and implementing batch and streaming data pipelines to support near real-time and large-scale data processing needs. Detail Orientated Excellent communication, customer service, and problem-solving skills Demonstrates resilience and composure in high-pressure or challenging situations, maintaining a positive and solution-focused approach. Continually striving to gather current knowledge and information relevant to business needs to achieve results Develop, design, or create new applications, ideas, relationships, systems, or products, including artistic contributions Collaborates effectively by actively exchanging and building on ideas to develop innovative and practical solutions. Able to work independently and maintain a positive attitude Able to initiate action and build relationships within both the IT department and the business Engages in collaborative dialogue, actively contributing and building on others' ideas to co-create effective and innovative solutions. Motivate and mentor team members to continue developing their skills Documented experience with pertinent ETL tools (e.g. Informatica, Data Stage, SSIS, etc.) Preferred Qualifications Advanced degree in IT Experience working in a cloud-native environment (AWS, Azure, or GCP). Familiarity with data governance, security, and compliance standards. Prior experience with Apache Kafka (Confluent). Artificial Intelligence (AI) experience is a plus. Hands-on experience with orchestration tools (e.g., Airflow, Prefect) is a plus. Physical Requirements: Generally, spend the workday sitting at a workstation and operating computer devices, such as, but not limited to keyboard, mouse and screen Generally, spend the workday performing repetitive motions that involve or affect the hands, head, and other parts of your body

Compensation:

The base pay range for this position is: $120,000 to $165,000 Many factors influence the determination of base pay within a range, including the candidate's work experience in related roles; the candidate's knowledge, skills, capabilities, and performance; the relative pay of other DigiKey employees in similar roles; and the budget available for the position.

______________________________________________________________________

DigiKey Electronics is an Equal Opportunity Employer. We encourage qualified minority, female, veteran and disabled, and other diverse candidates to apply and be considered for open positions.

If you are an applicant with a disability and need a reasonable accommodation for any part of the employment process, please contact Human Resources at 1-800-338-4105 or careers.us@.

Know Your Rights: Workplace Discrimination is Illegal

Pay Transparency