Senior Data Engineer
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- Work setting
Remote stated — work setting source
- Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
Before you apply
- Sponsorship
Visa sponsorship not confirmed — sponsorship source
Must be legally authorized to work within the country of employment without sponsorship for employment visa status.
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What you’ll work on
Full postingDesign and implement end-to-end data pipelines and ETL/ELT processes
Manage and optimize AWS data services including Redshift, Glue, EMR, and Kinesis
Develop data-processing logic using Python (Pandas, PySpark, Polars) and advanced SQL
From the employer’s posting
What You'll Do: 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
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
What you’ll bring
All qualificationsCore experience
- 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.
- 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).
- Strong SQL skills across both analytical and transactional workloads.
Preferred experience
- Familiarity with data quality and observability tooling (e.g., dbt tests, Great Expectations, Monte Carlo) is desirable.
Qualification wording
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.
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).
Strong SQL skills across both analytical and transactional workloads.
Familiarity with data quality and observability tooling (e.g., dbt tests, Great Expectations, Monte Carlo) is desirable.
Education & alternatives
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.
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Docker
- PostgreSQL
- Redshift
- Snowflake
- SQL Server
- Terraform
- Airflow
- Dagster
- pandas
- Polars
- PySpark
- Great Expectations
Source — Tool mentions in context
- 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.
- 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
- 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.
- 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.
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:
- 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
- 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
- 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 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. What You'll Do:
- 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.
- 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.
- 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.
- 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.
- Automate data workflows using orchestration tools like Airflow/MWAA and Step Functions - Implement Infrastructure-as-Code (Terraform/CloudFormation) and CI/CD for data workloads Pay Range:
- 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
- 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.
Benefits in the posting
Full benefits wording- 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.
- Physical Demands and Work Environment
From the employer’s posting.
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier listing.
- Status in our records
- Live
- First seen by us
- Oct 25, 2026 · today
- Recorded sightings
- 1
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Job description
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 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.
What You'll Do:
- 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
Pay Range:
- 130,000-170,000 per year
The pay range provided reflects the target compensation for this position, and individual pay within this range is determined by a variety of factors including, but not limited to, the candidate's relevant experience, specific skills, education, certifications, internal equity with comparable roles at our company, market conditions, and the geographic location of the role. We are committed to fair and equitable compensation practices, and we regularly review our pay structures to ensure competitiveness and alignment with industry standards.
Our Benefits & Perks:
We believe in supporting our Nerds with a truly comprehensive and competitive benefits package designed for flexibility and financial security.
- 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.
What Skills Will Help You Be A Successful Nerd?
- 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.
Physical Demands and Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable Accommodations may be made to enable individuals with disabilities to perform the functions
- 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.
Are We the Right Fit For You?
The best way to get the scoop on whether Nerdery is the right place for you is to chat with current Nerds. We would be delighted to have a conversation with you and share insight into what it’s really like to work at our organization and if it’s a place where you can thrive. Our interview process will provide you ample opportunity to talk with other team members and assess whether the role is a good fit for your next chapter. Take the first step and apply today – our Talent Advocates will then reach out to you to get the ball rolling!
Disclaimer:
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Remote
- 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.
More source context
- 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
More relevant text appears in the full description.
- Work authorization
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