waypointjobs

Talentify

Data Engineer

san francisco, CA

Check who can apply and the requirements below before continuing.

About this opportunity

Talentify lists this Data Engineer opportunity in san francisco, California. Review the employer’s description below for duties, qualifications and application requirements.

Job description

Job Title : Data Engineer

Location: San Francisco CA

Hybrid – Monday/Friday Remote + Onsite

595 Market St. #200, San Francisco, CA on Tuesday/Wed/Thursday

Duration: Long Term Contact

Roles & Responsibilities

You will build systems, core libraries and frameworks that power our batch and streaming Data and ML applications. The services you build will integrate directly with LendingClub's products, opening the door to new features.

You will work with modern data technologies such as Hadoop, Spark, DBT,

Dagster/Airflow, Atlan, Trino, etc., modern data platforms such as

Databricks and Snowflake and cloud technologies across AWS stack

Build data pipelines that transform raw data into canonical schema representing business entities and publish it into the Data Lake

Implement internal process improvements: automating manual processes, optimizing data delivery, reducing cloud costs, redesigning infrastructure for greater scalability, etc.

Work with stakeholders including the Business, Product, Program and Engineering teams to deliver required data in time with high quality at reasonable cost

Implement processes and systems to monitor Data Quality, Observability, Governance and Lineage.

Support operations to manage the production environment and help in resolving production issues with RCA

Write unit/integration tests, adopt Test-driven development, contribute to engineering wiki, and document design/implementation etc.

Roles & Resposibilities

4+ years of experience and a bachelor's degree in computer science or a related field; or equivalent work experience

Working experience of distributed systems Hadoop, Spark, Hive, Kafka, DBT and Airflow/Dagster

At least 2 year of production coding experience in data pipeline implementation in Python

Experience working with public cloud platforms, preferably AWS

Experience working with Databricks and/or Snowflake

Experience in Git, JIRA, Jenkins, shell scripting

Familiarity with Agile methodology, test-driven development, source control management and test automation

Experience supporting and working with cross-functional teams in a dynamic environment

You have excellent collaborative problem solving and communication skills and are empathetic to others

You believe in simple and elegant solutions and give paramount importance to quality

You have a track record of building fast, reliable, and high-quality data pipelines

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Worksite address

san francisco, CA, 94199, US

Who can apply

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