Senior Data Engineer

Nerdery • Minneapolis, MN

19h • Remote

About The Position

The Senior Data Engineer designs and implements data architecture, storage solutions, and analytics platforms that drive business insights. The role focuses on building scalable, well-governed data platforms on AWS and migrating legacy infrastructure to modern cloud environments. The engineer develops and maintains production-grade data pipelines and works with technical and non-technical stakeholders to translate requirements into reliable solutions.

Nerdery is a digital product consultancy that partners with clients to solve problems across strategy, design, and technology. The company describes itself as a remote-friendly workplace, with a Minnesota office available to employees who prefer an in-office or collaborative setting. Some work may involve on-site client visits and demonstrations.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• At least 6 years of professional experience in data engineering or a closely related discipline.
• In-depth knowledge of Snowflake, including warehouse design, role-based access control, performance tuning, and cost optimization.
• Advanced proficiency with dbt for modular, tested, and version-controlled data transformations.
• Hands-on experience with Dagster for pipeline orchestration, asset management, and data observability.
• Experience designing and implementing data pipelines, storage solutions, and analytics platforms on modern cloud data stacks.
• Experience migrating data pipelines and infrastructure to Snowflake from legacy warehouses, on-premise systems, or hybrid environments.
• Advanced proficiency in Python and hands-on experience with data-processing libraries such as Pandas, Polars, or PySpark.
• Strong SQL skills across analytical and transactional workloads.
• Experience with relational and/or columnar databases such as PostgreSQL, SQL Server, or Snowflake.
• Deep understanding of data modeling, ETL/ELT processes, and data warehousing principles.
• Experience implementing data architecture patterns such as medallion/multi-hop, data mesh, or lakehouse.
• Familiarity with Infrastructure-as-Code tools such as Pulumi or Terraform.
• Familiarity with event-driven architectures and integrating orchestration platforms with cloud services.
• Strong version-control practices using Git and experience building CI/CD workflows for data workloads, such as GitHub Actions.
• Excellent problem-solving and analytical skills.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Proactive collaboration, including mentoring colleagues and raising the team's technical bar.
• Must be legally authorized to work in the country of employment without sponsorship for employment visa status.

Nice To Haves

• Experience building and consuming RESTful APIs.
• Exposure to containerization, such as Docker.
• Familiarity with data quality and observability tools such as dbt tests, Great Expectations, or Monte Carlo.

Responsibilities

• Design and implement end-to-end data pipelines and ETL/ELT processes.
• Architect scalable data platforms using patterns such as medallion/multi-hop, data mesh, or lakehouse.
• Migrate data infrastructure from on-premise or hybrid environments to AWS.
• Manage and optimize AWS data services, including Redshift, Glue, EMR, and Kinesis.
• Develop data-processing logic using Python libraries such as Pandas, PySpark, and Polars, along with advanced SQL.
• Automate data workflows using orchestration tools such as Airflow/MWAA and Step Functions.
• Implement Infrastructure-as-Code and CI/CD for data workloads.
• Translate business and technical requirements into production-grade, maintainable data pipelines.
• Collaborate with stakeholders and mentor colleagues, contributing to the team's technical capabilities.

Benefits

• Two medical plan options, including an HSA-eligible option.
• Dental insurance.
• Vision insurance.
• Company-paid basic life and AD&D insurance.
• Company-paid short-term disability coverage.
• Company-paid long-term disability coverage.
• Discounted, employee-paid voluntary life and AD&D, accident, critical illness, and hospital indemnity insurance options.
• Pet insurance.
• Legal support and identity theft protection plans.
• 401(k) plan with a company match of up to 3.5% and immediate vesting.
• Flexible time off (Flex PTO) for vacation, personal time, illness, or care for dependents.
• Remote-friendly workplace and access to a Minnesota office for those who prefer an in-office or collaborative setting.
• Professional development resources and funds for industry conferences and certifications.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior