Data Engineer

4 weeks ago

Boston, United States Tive Inc Full time
At Tive, we imagine a fully-transparent world in which everything and everyone is connected. We innovate beyond what the world thought possible—so what people hold near and dear arrives on time and in full.
We believe (and live) four core values: • Create transparency first—everything else comes second: We believe that trust is critical, and we depend on each other to be transparent and open—and to consistently deliver on their word. • Make it simple: We work hard to deliver creative technical solutions to complex problems. • We’ve got your back: We are fiercely loyal to our team. • Relentless iteration: Our desire to learn new things and create innovative solutions—every single day—is unmatched.
Whether shipped by road, rail, ocean, or air, Tive reduces shipment delays, minimizes rejected loads, and decreases theft, damage, and spoilage. Our customers count on Tive to ensure that their shipments are delivered on time and in full—because every shipment matters.
As a Python Data Engineer in the Data Team, you will be responsible for maintaining and extending our data warehouse and data pipelines. Our data warehouse brings together most of our company’s data into a single Snowflake database. The Data Team has built an extensive transformation layer on top of the raw data that uses dbt and Airflow to create user-friendly tables. Some of these tables directly feed into our core product. Additionally, we have several Python-based advanced modeling jobs that run in batch in Airflow and feed into other parts of the pipeline. Our repos are managed with tools such as Liquibase, TeamCity, CloudFormation, and Datadog. The data engineer who fills this role will be responsible for maintaining the current infrastructure and adding to it/scaling it up as needed. Our ideal candidate has:
    • Excellent Python and SQL skills
    • Strong understanding of data modeling and relational databases
    • Experience using Airflow or a similar Python-based task orchestration tool (Dagster, Prefect, etc.)
    • Experience with dbt or similar SQL-based data transformation and pipelining tools
    • Experience with a CI/CD tool such as TeamCity
    • Hands-on experience with AWS or similar cloud technologies 
    • Strong analytical skills with the ability to analyze, profile, and validate data to identify potential data/pipeline quality issues 
    • A strong desire to learn, teach, and collaborate with the team
    • Ability to work with remote coworkers
    • Familiarity with Agile development methodologies such as Scrum
In addition, they may have:
    • Experience with TeamCity and/or Datadog
    • Experience building and deploying Python APIs
    • Experience using Snowflake
    • Experience with CloudFormation
    • Experience with Docker
    • Experience with data science, machine learning, or MLOps
What you’ll be doing:
    • You will be maintaining our existing Snowflake data warehouse and integrating new data sources as they become available
    • You will own, maintain, and build on our Airflow task orchestration system
    • You will design new data transforms using SQL/dbt that can be integrated into our Airflow pipelines 
    • You will work to build strong relationships with and support co-workers, including remote peers in other time zones.
    • You will contribute to a fast-paced, world-class team while helping grow the company that aims to make this the best place you’ve ever worked
What does Tive offer?
    • A chance to join what may very well turn out to be the most important company in your career.
    • The autonomy and resources to build what you know how to build.
    • Work with a committed global team that have each others back.
    • Office based or hybrid options. Your choice. 
    • Competitive equity to ensure all of our employees have a sense of ownership in the long-term success of Tive’s growth.
Need to know information: Please note, at this time we are not able to sponsor US visas or Green Cards. This include H1B transfers. We are also not able to employ people in the US on OPT because we will not be able to sponsor you for an H1B when you need it.

We celebrate diversity, and consider it key to our success as both a team and a company. We are proud to be an equal opportunity employer, and we are committed to creating an inclusive environment of mutual respect for all employees. Apply for this job

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