Senior Data Engineer

Join Us as a Senior Data Engineer at Uncommon Goods! 

ABOUT US 

Uncommon Goods partners with independent makers and small businesses to offer a wide, constantly evolving assortment of original, creative products. 

We are built on better business practices and committed to having a positive impact. Learn more here.  

The best part of Uncommon Goods is us—our team. We've been around for over 20 years because of all the wonderful people who make UG the one-of-a-kind company it is. 

Learn more about our products, B Corp certification, guiding principles, Better to Give program, and team members you might be working with. Listen to the story of Uncommon Goods from our Founder and CEO here and here. 

EVERYONE IS WELCOME HERE 

At Uncommon Goods, we believe we're all out of the ordinary.  That's why we're committed to making diversity, inclusion, equity, and belonging part of everything we do. We strive to make significant changes to our business, from how we find our products to how we build and cultivate our team—so we can be everyone's favorite place to work. 

We are an equal-opportunity employer. If you would like to request any accommodation during the application process, please email [email protected]. 

ABOUT THE ROLE 

Are you ready to embark on an exciting journey where your data prowess will shape the future of our company? Uncommon Goods is on the lookout for a Senior Data Engineer who is not only passionate about crafting data pipelines but also keen on pioneering the next generation of products and data initiatives. If you're an experienced data wrangler with a penchant for optimization and innovation, we want you to be a part of our dynamic team. 

ROLE RESPONSIBILITIES 

Data Pipeline Guru: Develop and maintain scalable data pipelines and craft new API integrations to handle increasing data volume and complexity. 

Data Maverick: Collaborate with our team to enhance data models, making data more accessible and empowering metrics-driven decision-making throughout the organization. 

Data Guardian: Implement robust processes and systems to ensure data quality, ensuring that production data remains accurate and readily available for critical internal functions. 

Data Detective: Dive into data analysis to tackle data-related issues and assist in resolving them effectively. 

Team Player: Work closely with frontend and backend engineers, product managers, data scientists, and analysts, fostering a culture of collaboration and innovation. 

Architect Extraordinaire: Define our company's data assets and orchestration jobs via Airflow while developing data integrations and frameworks for automated anomaly detection. 

Tech Explorer: Evaluate and integrate open-source and vendor tools for data lineage and governance, staying at the forefront of technological advancements. 

Visionary Engineer: Collaborate with all business units and engineering teams to shape a long-term data platform architecture strategy that will drive our success. 

SKILLS & QUALIFICATIONS 

Required: 

• BS or MS degree in Computer Science or a related technical field. 
• Exceptional communication skills for effective collaboration with both technical and non-technical colleagues. 

• Proficiency in schema design and dimensional data modeling (experience with DBT is a plus). 
• Expertise in object-oriented/object function scripting languages, especially Python (Python is required). 
• Proficient in writing SQL queries (No-SQL experience is a plus). 
• Experience integrating data from various sources, including APIs, flat files, and streaming data sources. 
• Familiarity with version control systems like Git for code management and collaboration. 
• Understanding of containerization technologies like Docker for packaging and deploying data applications and services. 
• Experience with coding automated data-intensive processes and workflow management tools, such as Airflow, Azkaban, Luigi, etc. 
• Familiarity with AWS & Google cloud services: EC2, EMR, RDS, Redshift, DMS, Lambda, S3, and Google’s Bigquery / Cloud Functions (AWS Solutions Architect certification is a plus). 

Nice-to-Have: 

• Experience with e-commerce and retail. 
• Knowledge of efficiently querying Google Analytics hit-level data (experience with GA4 a plus). 
• Familiarity with BI platforms such as Tableau, Power BI, or Looker (we use Tableau). 
• Understanding of software development best practices. 

If you're ready to embark on a data-driven adventure and shape the future of Uncommon Goods, apply now and become a part of our innovative team! Your skills, vision, and dedication will be the driving force behind our success. Join us in making the uncommon a reality! 

COMPANY PERKS 

• Benefits: We invest in your well-being through subsidized medical, dental, and vision insurance; in your career with free, confidential, 1-on-1 coaching; and in your future via 401K matching. You can even invest in our future through employee stock options.  
• Education Subsidy: We reimburse up to $5,250 (the yearly IRS limit) of tuition for college coursework or professional training.  
• Service: We offer eight hours of paid time off each year for volunteering. 

• Commuter benefits: We offer a pretax discount for those who take public transportation (train, bus, and ferry). For those who prefer to pedal to work, we offer significantly discounted yearly Citi Bike memberships and/or will provide money to help with the purchase or repair of your own bike.  
• Team member discounts: Our team members can buy our goods at a 40% discount (and take our Uncommon Experience classes free).  
• Work/life balance: We offer generous paid time off and supplement New York State Short Term Disability for 3 weeks and New York State Paid Family Leave for 8 weeks. 
• Casual environment: No need to dress up—wear comfortable clothes every day. And we hold occasional, fun, company-wide events. 
• Open book policy: We share our financial results with the entire team every week in our management update email and periodically in our biweekly company-wide meeting, UncommonCo. 

• Collaborative environment: Whether it's a data analyst recommending products to the buyers or a warehouse manager providing the theme for an email blast, we welcome your talents and insight wherever they apply.
• This position's annual base salary range is $125k - $150k. This role is eligible for our annual performance bonus program. This range represents the low and high end of the anticipated base salary range for this role. The actual base pay is dependent upon many factors, such as: experience, education, and role-based skills.  
• This is a fully remote role.