Senior Data Engineer
The backbone of the company.
Overview
Stackless Data partners with leading businesses to tackle their most important data challenges and capture their greatest opportunities. We are a cutting-edge data product company that can augment or replace the data stack for our customers. Our diverse team is passionate about unlocking potential and delivering integrated solutions through leading-edge data science, technology, and systems design.
We are seeking a full time Senior Data Engineer. This position can be remote anywhere in the United States, but all applicants must be US-based and able to work in the US without sponsorship.. We do not work with hiring agencies or staffing firms.
What you'll do:
- Partner with colleagues to understand data and reporting requirements at one or more client businesses.
- Work with engineering teams to collect required data from internal and external systems.
- Design table structures and ETL strategy to build performant data solutions that are reliable and scalable in a fast growing data ecosystem.
- Develop data quality checks for source and target data sets. Develop UAT plans and conduct QA.
- Develop and maintain ETL pipelines using DBT, Stitch/Fivetran, Airflow
- Propose and implement changes to the underlying data models to optimize performance based on usage.
- Develop internal tools to facilitate data access and enable operational excellence through automation.
- Respond to customer requests and perform ad hoc analysis as necessary.
- Ensure we meet SLAs around uptime and response times.
- Implement modern data management solutions under the direction of the project lead.
- Enforce common data design patterns to increase code maintainability.
- Partner with team leads to identify, design and implement internal process improvements.
- Automate manual processes, optimize data delivery, understand when to re-design architecture for greater scalability.
What you'll bring:
- 6+ months experience with DBT
- Bachelor’s degree in a field such as computer science, software engineering or equivalent work
- 4+ years experience in data engineering
- 5+ years experience with Python and SQL
- Working knowledge of one or more of these technologies: Looker, Snowflake, Metabase, Tableau, Redshift, DBT, Fivetran, Databricks, Stitch, Delta Lake, AirFlow
- Experience working with large data sets
- Experience working with a business intelligence tool
- Excellent written and oral communication skills
- Must be a self-starter and able to work independently as well as in a team environment
- Detail oriented with strong organizational skills
- Retail data experience a plus
Stackless is an equal opportunity employer and individuals seeking employment are considered without regard to race, color, national origin, religion, sex (including pregnancy, sexual orientation or gender identity), age, disability or genetic information or any other factor protected by applicable federal, state or local law, regulation or ordinance.