Senior Data Engineer

The posting, as Nerdery wrote it

About Nerdery and Being a “Nerd.”
Nerdery is a digital product consultancy. Much more than consultants, we’re allies and guides on our clients’ digital journey – helping them to grow their business and delight their customers through intuitive, thoughtfully designed technology. As true partners, we prepare our clients for the opportunities in front of them, help them achieve their goals, and quickly deliver value for their customers. We do this by solving problems in creative ways across strategy, design, and technology.

At Nerdery, we’re not defined by our job titles but by the impact we make. You’ll work directly and closely with some of the world’s best brands to help create innovative digital products that serve everyone. As Nerds, our insight, innovation, and expertise are celebrated, and our growth is not only encouraged but expected. Being a Nerd means stepping up and pushing the boundaries of what’s possible.

We are looking for a Senior Data Engineer to join our team! We invite you to check out the details below and consider whether becoming a Nerd is the next step in your career journey.

The Senior Data Engineer role at Nerdery is responsible for designing and implementing the data architecture, storage solutions, and analytics platforms necessary to drive business insights. This role focuses on building scalable, well-governed data platforms on AWS and migrating legacy infrastructure to modern cloud environments.

Requirements

• 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

[…]
isclaimer:
Must be legally authorized to work within the country of employment without sponsorship for employment visa status.

Nerdery is an equal opportunity employer and complies with all applicable federal, state and local fair employment practice laws. Nerdery strictly prohibits and does not tolerate discrimination against employees, applicants or any other covered persons because of race, color, religion, creed, national origin or ancestry, ethnicity, sex, sexual orientation, gender (including gender nonconformity and status as a transgender or transsexual individual), pregnancy, marital status, familial status, age, physical or mental disability, citizenship, past, current or prospective service in the uniformed services, genetic information, membership or activity in a local human rights commission, status with regard to public assistance or any other characteristic protected under applicable federal, state or local law. All employees, other workers and representatives of Nerdery are prohibited from engaging in unlawful discrimination. Nerdery will ensure that all employment practices are free of such discrimination. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment or recruitment advertising, selection, layoff, disciplinary action, termination, compensation, benefits, selection for training, including apprenticeship and other terms and conditions of employment. Nerdery will also provide reasonable accommodation to applicants and employees with disabilities pursuant to all applicable laws.

Nerdery will never request a chat interview. All interviews are conducted either in person or through Google Meets. Additionally, Nerdery exclusively uses email addresses ending with @Nerdery.com

If you have questions about any correspondence you receive regarding an opportunity at Nerdery, please reach out to recruiting@nerdery.com.

Compensation
The base pay range for this role is $130,000 – $170,000 per year.