Data Engineer

Cimpress; United States; Remote; USD 100,000 - 160,000; Full time

Job summary

Vista's Enterprise Data Solutions domain seeks a Data Engineer to build, operate, and support robust data pipelines and warehousing across Finance, Supply Chain, and HR data.

You will implement data standards and optimized ETL/ELT workflows, under guidance from experienced engineers, as you modernize data platforms and cloud warehousing initiatives.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• 3-4 years of professional hands-on experience in Data Engineering.
• Strong knowledge of SQL and core data warehousing concepts.
• Solid knowledge of Python for data processing and automation.
• Solid understanding of Data Modeling concepts, specifically dimensional modeling.
• Hands-on experience with cloud environments and AWS services (S3, EC2, IAM, CloudWatch, EventBridge).
• Hands-on experience with cloud-based data warehousing platforms (Snowflake preferred).
• Good understanding of CDC and incremental loading patterns.
• Strong knowledge of Git and CI/CD practices.
• Experience with data quality frameworks and data validation.
• Analytical mindset with interest in insight gathering; Looker experience not required.
• Problem-solving and multi-tasking in a fast-paced, distributed environment.

Responsibilities

• Design, build, and implement scalable ETL/ELT processes to deliver data as a reliable service.
• Enforce best practices for data quality, testing, governance, and architecture.
• Collaborate with senior engineers, SAP team members, and data consumers to deliver solutions.
• Produce clear documentation for code, workflows, and system architecture.
• Grow into analytical reporting responsibilities over time.

Skills

SQL

Python

Dimensional Modeling

CDC

Cloud data warehousing

Education

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field

Tools

AWS (S3, EC2, IAM, CloudWatch, EventBridge)

Snowflake

Jira

Confluence

Looker (LookML)

Job description

Our Team: Enterprise Business Solutions

Vista's Enterprise Business Solutions (EBS) domain is working to make our company one of the most data-driven organizations to support Finance, Supply Chain, and HR functions. The cross-functional Data Lake Analytics team focuses on providing Vista with cutting-edge tools and access to SAP data insights we can use to make fast decisions and deliver customer value. EBS team members are empowered to learn new skills, communicate openly, and be active problem-solvers who bring proactivity, creativity, and curiosity to our daily engineering challenges.

Join our EBS Domain as a Data Engineer! This role will be responsible for building, operating, and supporting robust data pipelines and data warehousing solutions. The Data Engineer will implement industry best practices, data standards, and optimized ETL/ELT workflows under the guidance of experienced colleagues. This role has a lot of opportunities to impact general data pipeline development and the implementation of new solutions. You will work on modernizing data technology solutions in EBS, including cloud warehousing, finance, and supply chain datasets. This role will require a solid understanding of cloud data integration tools and cloud data warehousing, with a strong ability to execute technical initiatives to tangible results.

What You Will Do:

As a Data Engineer, you will be instrumental in executing our data strategy, ensuring data quality, and contributing to the technical execution of our data products. Your responsibilities will include:

Pipeline Development & Technical Execution:

• Design, build, and implement scalable, robust, and high-quality ETL/ELT processes to support growing business demand for information, delivering data as a reliable service.

• Adhere to and enforce best practices for data quality, testing, data governance, and architecture within your daily deliverables.

• Actively participate in the team's use of Agile methodologies, ensuring smooth, predictable, and continuous delivery of data features.

Data Expertise & Domain Knowledge:

• Utilize cutting-edge approaches to data transfer, transformation, and cloud data warehousing to drive optimization in existing data pipelines.

• Develop a profound understanding and "feel" for the business meaning, lineage, and context of each data field within our domain (Finance and Supply Chain).

• Implement robust data processing methodologies, specifically focusing on incremental loading logic and Change Data Capture (CDC).

Collaboration & Team Partnership:

• Collaborate with senior engineers, functional SAP team members, and data consumers to understand requirements and successfully deliver data solutions.

• Engage with data consumers to achieve a clear understanding of their specific data usage, pain points, and current gaps to resolve data issues collaboratively.

• Produce clear, concise, and comprehensive documentation for code, workflows, and system architecture.

Analytical Evolution:

• Grow into analytical and reporting responsibilities over time, actively participating in insight gathering rather than focusing solely on data pipeline implementation.

Your Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

• 3-4 years of professional hands-on experience in Data Engineering.

• Strong knowledge of SQL and core data warehousing concepts is a must.

• Solid knowledge of Python for data processing and automation.

• Solid understanding of Data Modeling concepts, specifically hands-on experience with Dimensional Modeling techniques.

• Hands-on experience in managing scalable pipelines in cloud environments, with specific proficiency in AWS services like S3, EC2, IAM, CloudWatch and EventBridge etc.

• Hands-on experience with cloud-based data warehousing platforms is critical (Snowflake preferred).

• Good understanding of data pipeline ingestion patterns, specifically incremental loading and Change Data Capture (CDC).

• Strong knowledge of production standards such as versioning (Git), CI/CD.

• Good understanding of data quality frameworks and data validation approaches in modern data warehousing platforms.

• Demonstrate experience or strong interest in analytical reporting and insight gathering (analytical mindset and interest is a must-have, but hands-on experience with reporting tools like Looker is not required).

• Problem-solving and multi-tasking ability in a fast-paced, globally distributed environment.

Nice To Have:

• Familiarity with data visualization and reporting tools (experience with Looker and LookML skills is a plus).

• Familiarity with extracting and processing SAP ERP data (experience with tools like Theobald Xtract Universal is a major plus).

• Knowledge of finance, accounting, supply chain, logistics, operations, or procurement data.

• Experience managing work in Jira and writing technical documentation in Confluence.

Why You'll Love Working Here

There is a lot to love about working at Vista. We are an award winning Remote-First company. We're an inclusive community. We're growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team.

About Us

Vista is the design and marketing partner to millions of small businesses around the world. For over 20 years we've been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. Together, VistaCreate, 99designs by Vista and Vista represent a full-service design, digital and print solution, elevating small businesses' presence in physical and digital spaces and powering them to achieve success. Vista is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go.

Commitment to Diversity, Equity, & Inclusion

Vista exists to help our customers live their dreams. Each dream is unique - and the Vista team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to be role models and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea.

Equal Opportunity Employer

Vista, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.

Required Skills

SQL, Python, Snowflake, AWS, Data Warehousing