- Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent practical experience).
- 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.
- Proven 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 other platforms (legacy warehouses, on-premise systems, or hybrid environments).
- Advanced proficiency in Python with hands-on experience in data-processing libraries such as Pandas, Polars, PySpark, or similar.
- Strong SQL skills across both 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 (e.g., medallion/multi-hop, data mesh, lakehouse) to support scalable, well-governed data platforms.
- 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 (Git) with experience building CI/CD workflows for data workloads (e.g., GitHub Actions).
- Proven ability to translate business and technical requirements into production-grade, maintainable data pipelines.
- Excellent problem-solving and analytical skills.
- Ability to communicate clearly with both technical and non-technical stakeholders.
- Proactive collaborator who mentors colleagues and raises the technical bar across the team.
- Experience building and consuming RESTful APIs. Exposure to containerisation (Docker) is a plus.
- Familiarity with data quality and observability tooling (e.g., dbt tests, Great Expectations, Monte Carlo) is desirable.
- 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 (Pandas, PySpark, Polars) and advanced SQL
- Automate data workflows using orchestration tools like Airflow/MWAA and Step Functions
- Implement Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD for data workloads
- 130,000-170,000 per year
- Health & Wellness: Choose from two comprehensive medical plans (including an HSA-eligible option), plus high-quality dental and vision insurance.
- Financial Security (Company-Paid): We provide peace of mind by fully covering the cost of several essential plans: Basic Life and AD&D Insurance, Short-Term Disability (STD), and Long-Term Disability (LTD) coverage.
- Comprehensive Support: Take advantage of discounted, employee-paid options to protect your family, pets, and assets, including Voluntary Life and AD&D, Accident, Critical Illness, and Hospital Indemnity insurance, Pet Insurance, and plans offering Legal Support and Identity Theft Protection.
- Retirement: We offer a 401(k) plan with a company match of up to 3.5% with immediate vesting.
- Time Off: Nerds enjoy flexible time off with Flex PTO that can be used for vacation, personal time, personal illness, or time off to care for dependents.
- Remote Work: Nerdery is a remote-friendly workplace. Our Minnesota office space is available for Nerds who prefer an in-office environment or collaborative setting.
- Professional Growth: All Nerds have dedicated resources and access to funds to pursue professional development, attend industry conferences, and obtain certifications.
- Customer-Focused Execution and Communication: Excels at translating deep customer understanding into impactful work, ensuring that every project and decision delivers exceptional user value. Able to effectively explain technical decisions to non-technical stakeholders.
- Tenacious Problem-Solving: Relentlessly unravels complex problems, developing innovative solutions to overcome any challenge that stands in the way of progress.
- Integrity-Driven Work: Builds trust by consistently upholding high standards in all work and advocating for the right approach, ensuring quality and transparency.
- Collaborative Impact: Actively elevates the team's capabilities by fostering a collaborative environment, sharing knowledge, and prioritizing collective success over individual credit.
- End-to-End Ownership: Takes full accountability for an initiative's entire lifecycle, from concept to completion, ensuring the final result successfully achieves its intended goals.
- Dedication to Craftsmanship: Driven by a passion for their craft to continuously learn, deepen their expertise, and strive for excellence in their chosen field.
- Sitting for extended periods: will spend significant time in meetings, presentations, and computer use.
- Occasional standing and walking: will need to move around during presentations and client interactions.
- Computer Use: Extensive use of a keyboard, mouse, and computer screen for extended periods. Ability to adjust focus between screen and documents.
- Public Speaking: requires public speaking, including presenting to clients.
- Reaching: Reaching for items on a desk, retrieving documents, or working with equipment is required.
- Lifting: Occasional lifting of light objects (e.g., laptops, peripherals) may be necessary.
- Office Environment: The work environment is primarily an office setting, with typical office equipment and noise levels.
- On-site client work: some work might involve on-site client visits and demonstrations, possibly requiring some walking and standing for extended periods.
Skills Required
- Bachelor's degree in Computer Science, Data Engineering, or related field (or equivalent experience)
- 6+ years professional experience in data engineering or related discipline
- In-depth knowledge of Snowflake including warehouse design, RBAC, performance tuning, and cost optimization
- Advanced proficiency with dbt for modular, tested, version-controlled data transformations
- Hands-on experience with Dagster for pipeline orchestration, asset management, and observability
- 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 or on-premise platforms
- Advanced Python proficiency with data-processing libraries (Pandas, Polars, PySpark)
- Strong SQL skills for analytical and transactional workloads
- Experience with relational and/or columnar databases (PostgreSQL, SQL Server, Snowflake)
- Deep understanding of data modeling, ETL/ELT processes, and data warehousing principles
- Experience implementing data architecture patterns (medallion/multi-hop, data mesh, lakehouse)
- Familiarity with Infrastructure-as-Code tools (Pulumi, Terraform, CloudFormation)
- Familiarity with event-driven architectures and integrating orchestration with cloud services
- Experience managing and optimizing AWS data services (Redshift, Glue, EMR, Kinesis)
- Experience automating workflows using orchestration tools (Airflow/MWAA, Step Functions)
- Strong version-control practices (Git) and experience building CI/CD workflows for data workloads (e.g., GitHub Actions)
- Proven ability to translate business and technical requirements into production-grade, maintainable data pipelines
- Experience building and consuming RESTful APIs
- Excellent problem-solving, analytical, communication skills, and ability to mentor peers
- Exposure to containerization technologies (Docker)
- Familiarity with data quality and observability tooling (dbt tests, Great Expectations, Monte Carlo)
- Legally authorized to work in country of employment without sponsorship
What We Do
Nerdery is a premier digital solutions and innovation company. A collection of strategists, designers, technologists and proud “Nerds,” we’re allies on your digital journey, united around a mission of relentlessly inventing a world that works better for all. Our experience is rooted in technology and engineering, and we design to serve everyone. We work alongside our clients to understand their goals and build digital solutions that transform business, create enduring customer connections and elevate the human experience. Learn more about how Nerdery is transforming business with digital strategy and solutions in industries such as consumer goods and services, manufacturing and healthcare at Nerdery.com.









