Senior Data Engineer

Remote Position or Boulder, CO or Chicago, IL

About the Company

At Hoodie Analytics, data is the core of our business, we are the leader in Cannabis Product Assortment & Pricing Intelligence.

To achieve our goal we are leveraging the latest technologies available to build and deliver the best data available in the industry.  We have already met our goal of having the largest database of cannabis activity, but it must also be the best in terms of quality and freshness.

With Terabytes of data stacked, 30+ employees in the team, and very quick growth, the data is there and we need someone to help us deliver even faster.

Responsibilities

We are hiring a full-time engineer to support the data mastering team responsible for cataloging, classifying and enriching millions of records. The ideal candidate will collaborate with data analysts to identify new and novel approaches to apply engineering solutions to improve quality and speed of work within a data warehouse while leveraging big data solutions, integrations and self-service tooling. The ideal candidate excels at:

  • Data modeling
  • Partnering with the data mastering team to understand their needs, and how to automate or streamline manual processes
  • Data cleansing using SQL, Python, Bash scripts
  • Proposing and implementing new data cleansing / enrichment strategies
  • Implementing and monitor a data quality framework in order to ensure the best data quality is delivered to our customers.
  • Building new data pipelines

Qualifications

  • 5-9 years experience as an engineer supporting heavy data loads
  • You are proficient with Git, Bash scripting, Github, Basic linux
  • Expert in SQL
  • Expert in Python for data engineering
  • Comfortable with ELT vs. ETL.
  • Data observability – Data testing – CI/CD – Continuous integration – DataOps are terms that sounds familiar
  • Experience architecting data solutions utilizing Bl tools like Looker, Tableau, AtScale, PowerBI, or any similar tools is a plus.
  • Databases: Snowflake, Postgres
  • Well versed in AWS. Lambda – SQS – EC2 – S3 – Glue

Nice to haves:

  • Experience with big data technologies like Hadoop, Spark, Cassandra, MongoDB or other open source big data tools
  • Familiarity with NodeJs is a big plus
  • Comfortable with APIs

What's In It for You

  • Work with other high-caliber talent
  • Flexible working hours – as long as high-quality work gets done
  • Working with some of the best people and tech in Cannabis

Culture

We start with people who are genuinely nice people to hang out with. Make sure they are super smart and motivated. Lastly, we have a no jerk policy…zero tolerance. No one likes working in a company with a difficult co-worker or boss.

When you focus on the right people, suddenly it’s possible to attack that big idea, crush extremely hard problems, and excite your customer base.

Our philosophy in a nutshell is “People, Product, Profit”. Great companies are created in that order.

Apply Now