Senior Analytics Data Engineer
About Mixbook
Mixbook is an award-winning design platform giving consumers unrivaled creative freedom to design and share one-of-a-kind stories, transforming the lives of more than 6M people. Today, we are the #1 rated photo book service in the US with 26K 5-star reviews and a profitable, growing business. Customers love Mixbook for our powerful and intuitive editor, superb quality, designer themes, and our fanatical customer service.
Founded by two Inc 30 Under 30 entrepreneurs from UC Berkeley California, Mixbook has been featured on the Today Show, Good Morning America, TechCrunch, The Verge, Washington Post, New York Times, and many other global media outlets.
Job Description
The Platform and Data team within the Engineering organization serves as the backbone for data across Mixbook, delivering the foundation upon which our insights, prediction models, and AI investments thrive. We are committed to developing a modern data infrastructure, focusing on leveraging best-in-class tools and architectures. This role will focus on establishing data marts through curation and transformation to power our analytics and machine learning processes. In addition to overseeing the data transformations, the role will play a key role in selecting and implementing data transformation and observability platforms (i.e., dbt, coalesce).
As our Senior Analytics Data Engineer, you will help marry our business initiatives that thrive on data with data assets. A successful candidate will have that rare mix of technical expertise and business prowess; combining a solid grasp of ETL and transformation techniques and tools with an eagerness to work with business leaders from across our company. You will be responsible for designing, implementing, and maintaining scalable infrastructure to transform our data from a raw stream of events into analytic data marts for business and analytics teams to access. If you're passionate about data and engineering and want to be part of an exciting, fast-paced environment, we want to hear from you.
We are seeking candidates based in Moldova, Romania, or neighboring Eastern European countries. This position is fully remote for candidates outside Moldova. For candidates based in Moldova, a hybrid work model is available at our office in central Chisinau. The vast majority of our Engineering team is in Moldova, so we’re seeking candidates in nearby countries to enhance team camaraderie within a similar time zone.
What You’ll Do
Our mission is to empower people to be creative and connect deeply with the ones they love. Unlike most growth companies, we have invested deeply in culture. Organizational health is central to our long-term strategy – we believe that when we love our people, they will love our customers, and our customers will love our business.
We want people to join us who exude our core values:
Founded by two Inc 30 Under 30 entrepreneurs from UC Berkeley California, Mixbook has been featured on the Today Show, Good Morning America, TechCrunch, The Verge, Washington Post, New York Times, and many other global media outlets.
Job Description
The Platform and Data team within the Engineering organization serves as the backbone for data across Mixbook, delivering the foundation upon which our insights, prediction models, and AI investments thrive. We are committed to developing a modern data infrastructure, focusing on leveraging best-in-class tools and architectures. This role will focus on establishing data marts through curation and transformation to power our analytics and machine learning processes. In addition to overseeing the data transformations, the role will play a key role in selecting and implementing data transformation and observability platforms (i.e., dbt, coalesce).
As our Senior Analytics Data Engineer, you will help marry our business initiatives that thrive on data with data assets. A successful candidate will have that rare mix of technical expertise and business prowess; combining a solid grasp of ETL and transformation techniques and tools with an eagerness to work with business leaders from across our company. You will be responsible for designing, implementing, and maintaining scalable infrastructure to transform our data from a raw stream of events into analytic data marts for business and analytics teams to access. If you're passionate about data and engineering and want to be part of an exciting, fast-paced environment, we want to hear from you.
We are seeking candidates based in Moldova, Romania, or neighboring Eastern European countries. This position is fully remote for candidates outside Moldova. For candidates based in Moldova, a hybrid work model is available at our office in central Chisinau. The vast majority of our Engineering team is in Moldova, so we’re seeking candidates in nearby countries to enhance team camaraderie within a similar time zone.
What You’ll Do
- Select and implement transformation and governance platform tools, identifying new technologies and features that will improve our data platforms.
- Design data mart models with business users in mind. Develop data product specifications that enable business, analytics, and engineering teams. Assess data integration needs and set the specifications for integrations in our Redshift Data Warehouse.
- Collaborate with engineering and analytics on the design, testing, and implementation of efficient data systems.
- Establish observability best practices. Verify data integrity and discrepancies.
- Partner with business, analytics, and engineering teams to direct instrumentation needs and integrate into established data pipelines. Understand how data is produced and work with the Engineering team to adjust as needed.
- Develop transformation code and deploy to production following agile best practices.
- Support engineering efforts to optimize database performance and uptime.
- Experience with Analytics Data Engineering: data modeling, data mart design, data transformations, data governance, data lineage, and data observability.
- Bachelor’s Degree in Computer Science or another related college degree.
- A solid grasp of Analytics Data engineering principles, practices, frameworks, and methodologies.
- 4+ years of experience as an Analytics Engineer, Data Engineer, Data Infrastructure Engineer or Software Engineer
- Expert SQL, Python, and database programming skills. Ruby, and/or other coding languages are a plus.
- Proven experience with AWS or similar cloud databases, and data management frameworks and tools (i.e., dbt, coalesce, Monte Carlo).
- Experience working with Looker PDTs and LookML is a plus.
- Analytical mindset and excellent communication skills.
- Able to partner with stakeholders across various levels of expertise.
- Market-leading salary
- Being part of a small, efficient, and inspiring engineering team
- Flexible schedule
- High-tech modern office in central Chișinău (available to candidates based in Moldova or those who are comfortable to occasionally travel to Moldova)
Our mission is to empower people to be creative and connect deeply with the ones they love. Unlike most growth companies, we have invested deeply in culture. Organizational health is central to our long-term strategy – we believe that when we love our people, they will love our customers, and our customers will love our business.
We want people to join us who exude our core values:
- Scrappy (Act like an entrepreneur)
- Caring (Heart of empathy)
- Craftsmanship (Spirit of excellence)
Apply here: join@mixbook.com