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.
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.