Senior Data Engineer

About the Role

We are looking for a highly skilled and experienced Senior Data Engineer to join our growing AI, Data, and Analytics team. In this role, you will own the data platform roadmap and architecture, design and deliver scalable, secure, and reliable data products that power analytics and operational decision-making. You will operate with significant autonomy, partnering with stakeholders across the business to translate strategy into execution, define standards, and continuously improve data capabilities, quality, and governance.

Key Responsibilities

• Own the data architecture and platform strategy (12-24 month horizon), including reference architecture, technology selection, and standards for ingestion, orchestration, transformation, storage, and serving.
• Lead technical discovery and solution architecture for new domains and use cases, translating ambiguous requirements into scalable designs and clear execution plans.
• Design, implement, and maintain scalable and efficient data pipelines using modern data stack tools (e.g., Airflow, dbt, Spark).
• Own end-to-end ETL/ELT patterns to ingest data from a variety of structured and unstructured sources (APIs, databases, third-party systems).
• Design and optimize data models (warehouse/lakehouse) for analytics and operational use, focusing on trusted, governed datasets and metrics.
• Work across domains to gather requirements, architect, and build new/novels solutions to support the appropriate business requirements.
• Work with business stakeholders to develop/build reporting dashboards.
• Collaborate with architects, engineers, and analysts to design and optimize data models for analytics and operational use.
• Set data quality standards, including automated testing, monitoring, anomaly detection, and documentation practices.
• Set reliability targets (SLAs/SLOs) for critical data products; lead incident response, root-cause analysis, and post-incident improvements.

• Influence and align across Engineering, IT, Security, and Compliance to ensure solutions meet access control, auditability, privacy, and regulatory requirements.

• Optimize performance of databases and data workflows to support real-time and batch processing.
• Mentor junior engineers and contribute to team development and best practices.
• Work across teams to identify, support, and troubleshoot as needed.
• Create reusable templates, playbooks, and reference implementations to accelerate onboarding and consistent delivery across teams.
• Implement data governance practices, including data security, privacy, and compliance.

Qualifications

• Master's degree in Computer Science, Engineering, Information Systems, or a related field.
• 5+ years of experience in data engineering, with a strong focus on building and maintaining data infrastructure at scale.
• Proficient in Python, SQL, and one or more big data technologies (e.g., Spark, Hadoop, Kafka).
• Experience with managing cloud IAM permissions, data access controls, and key management.
• Experience with cloud data platforms such as AWS (Redshift, S3, Glue), GCP (BigQuery, Dataflow), or Azure.
• Hands-on experience with orchestration tools like Airflow or Prefect.
• Experience with infrastructure-as-code (Terraform, CloudFormation) and CI/CD practices is a plus.
• Strong understanding of data modeling, warehousing concepts, and distributed systems.
• Knowledge of BI tools such as Tableau, Power BI, or QlikView.
• Excellent problem-solving, communication, and collaboration skills.
• Comfortable working in secured environments both on-prem and cloud.

Preferred Qualifications

• Experience with dbt for data transformation and version control.
• Strong background with Dev-Ops and ML-Ops
• Familiarity with containerization (Docker, Kubernetes).
• Knowledge of data privacy regulations (e.g., GDPR, HIPAA, FEDRAMP) and security best practices.
• Experience with both batch and streaming data pipelines.
• Experience within semiconductor manufacturing.

US Citizenship Required: This position will require the holding of or ability to obtain government security clearance which requires U.S Citizenship.

The annual salary range for this role is $134,080 - $201,120. Pay offered is based on many factors including, but not limited to, the job-related experience, skills, education, and credentials of each candidate.

SkyWater offers an exciting environment where the brightest semiconductor minds come together to achieve exceptional results. We offer competitive salary and an opportunity to participate in incentive plans as well other employee financial benefits including 401k match, life insurance and opportunities to purchase SkyWater stock at a discounted rate.

Additionally, SkyWater offers a comprehensive benefits package which promotes a healthy life. This includes benefit eligibility day one, medical, dental, mental health benefits, vision, legal planning, short- and long-term disability, paid time off, paid holidays, an on-site fitness facility, and an on-site self-serve market.

SkyWater complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities unless doing so would cause an undue hardship. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. To request reasonable accommodations, to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources at 952-851-5200 or Recruiting@SkyWatertechnology.com.

EOE, including disability/vets