Data Engineer id-477

About the company:

We're Twelve, the carbon transformation company—a new kind of chemical company that makes things from air, not oil. Our breakthrough technology eliminates emissions by transforming CO2 into critical materials, products and fuels. 

When it comes to addressing climate change, carbon isn’t our nemesis. To the contrary, we see carbon as the element of change. Carbon isn’t just the building block of life, it’s the building block of the chemicals, materials and fuels that make up our modern world and power innovation. From the spring in our running shoes to our favorite electronics, to building materials, electric car parts and fuels, carbon makes it possible. The problem is we get this carbon today from fossil fuels in the form of petrochemicals, which creates CO2 emissions and accelerates climate change.

Carbon transformation fundamentally changes this paradigm by sourcing carbon from CO2 instead of fossil fuels. By replacing the fossil carbon in critical chemicals with renewable, recycled carbon from CO2, we can eliminate emissions from thousands of essential products and set a new standard for how things get made in the climate era.

Twelve is a new kind of chemical company built for the climate era. Our breakthrough technology eliminates emissions by turning CO2 into essential products. We are a team of scientists, engineers and problem solvers on a mission to fundamentally shift the way the world addresses climate change and lead the transition to a fossil free future with our carbon transformation technology.

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Job Brief

At Twelve, Data Engineering is pivotal in building efficiencies and insights at scale that drive decisions to optimize end to end procurement, product manufacturing, sales, and distribution. Twelve is focused on transforming CO2 emissions into high value products and thereby making carbon reuse at scale economically viable. Our growing list of customers includes Alaska Airlines, Shopify, Procter & Gamble, US Air Force, NASA, and Mercedes. This role reports to the Senior Data Architect role and is part of the Information Technology team.

The core objectives of this role are to write robust data pipelines that collect, clean, and map data from various applications into the central data warehouse. This role partners with data architects, data analysts and engineers from various parts of the organization. This foundational role grows into solving unique use cases that will influence the direction of data engineering within Twelve.

What you will do

Own the data engineering design, pipelines, tests and codebase

Own the monitoring, alerting, documentation, and on-call runbooks

Write and maintain data mappings and transformations from various application APIs

Write and maintain data aggregates using SQL or Spark based solutions

Solve query performance, data latency and data quality issues at scale

Share data engineering brown bags once a quarter on big impact initiatives

Own the twelve data engineering blog

Who you are

Experience in reliable batch data processing

Experience in solving a subset of issues related with idempotency, data distribution, data latency, data lag and data replay

Experience with monitoring data quality and data integrity and healing data through automated replay

Fluent in writing efficient SQL (using data pruning concepts)

Fluent in coding best practices

Fluent in Python 3’s PySpark, NumPy, Dask (handing dataframes)

Working knowledge of Airflow and/or DBT framework

Experience in Data modeling in OLTP (3NF), OLAP (SCD, Star Schema) and representing nested structures in database clusters

Have experience in working with Big Data batch processing (Airflow, Spark, parquet file type, Snowflake, BigQuery)

Have data integration experience using third party APIs in Python

Willing to push the envelope in designing and implementing scalable data pipelines

Love to optimize data processing for compute and storage resource efficiencies and  performance for internal customers

Care about data quality and data integrity

Two years of batch data processing experience at scale

Twelve Benefits

Medical, dental, and vision coverage

Paid sick days and vacation

Competitive salary and equity compensation commensurate with experience

Diverse and inclusive work environment

At Twelve, it's important each employee is compensated competitively and fairly. In alignment with state legal requirements, Twelve conducts exhaustive research to understand compensation markets. A range for the included position is listed below. Be advised, actual offer details are determined by job category, job location, and candidate skill level.

Wage Range: $113,050 - $133,000

Please note that some pay bands may have wide ranges of compensation to accommodate candidate's diverse sets of skill levels.

We believe that the unique contributions of each individual is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.

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