Senior Data Engineer

Nerdery • Remote,

2d • $130,000 - $170,000 • Remote

About The Position

Nerdery is a digital product consultancy that partners with clients to help them grow their businesses and serve their customers through technology. The Senior Data Engineer designs and implements data architecture, storage solutions, and analytics platforms that support 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 end-to-end data pipelines and ETL/ELT processes, architects scalable data platforms, manages and optimizes AWS data services, and builds data-processing logic using Python and SQL. The role also automates workflows, implements infrastructure as code and CI/CD, and translates business and technical requirements into maintainable production systems. The position involves collaboration with clients and teammates, clear communication with technical and non-technical stakeholders, and mentoring colleagues.

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, data 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 Python proficiency 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 Git version-control practices and experience building CI/CD workflows for data workloads, such as GitHub Actions.
• Ability to translate business and technical requirements into production-grade, maintainable data pipelines.
• Excellent problem-solving and analytical skills.
• Ability to communicate clearly with technical and non-technical stakeholders.
• Proactive collaboration, mentoring colleagues, and raising the technical bar across a team.

Nice To Haves

• Experience building and consuming RESTful APIs.
• Exposure to containerization, such as Docker.
• Familiarity with data quality and observability tooling 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, and advanced SQL.
• Automate data workflows using orchestration tools such as Airflow/MWAA and Step Functions.
• Implement Infrastructure-as-Code using tools such as Terraform or CloudFormation, and build CI/CD for data workloads.
• Translate business and technical requirements into production-grade, maintainable data pipelines.
• Collaborate with colleagues and stakeholders, communicate technical decisions clearly, and mentor colleagues.

Benefits

• Two medical plans, including an HSA-eligible option.
• Dental insurance.
• Vision insurance.
• Company-paid Basic Life and AD&D Insurance.
• Company-paid Short-Term Disability and Long-Term Disability coverage.
• Discounted, employee-paid voluntary life and AD&D, accident, critical illness, and hospital indemnity insurance.
• 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 caring for dependents.
• Remote-friendly workplace, with Minnesota office space available for those who prefer an in-office environment.
• Dedicated resources and access to funds for professional development, industry conferences, and certifications.

What This Job Offers

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