Remote data platform engineer jobs

We, at Turing, are looking for highly-skilled remote data platform engineers who will be participating in architecture and implementation of cloud-native data pipelines and infrastructure to enable analytics and machine learning on rich datasets. Get an opportunity to work with the leading U.S. companies and rise quickly through the ranks.

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Job description

Job responsibilities

  • Build scalable data architecture, including data extractions and data transformation
  • Build cost-effective and strategic solutions by developing a clear understanding of data platform cost
  • Design and build data products and data flows for the continued expansion of the data platform
  • Build scalable data architecture, including data extractions and data transformation
  • Build cost-effective and strategic solutions by developing a clear understanding of data platform cost
  • Design and build data products and data flows for the continued expansion of the data platform
  • Write high-performant, well-styled, validated, and documented code
  • Participate in data cleansing and data quality initiatives
  • Build automated data engineering pipelines

Minimum requirements

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience in data engineering (rare exceptions for highly skilled developers)
  • Experience of developing real-time data streaming pipelines using Change Data Capture (CDC), Kafka and Streamsets/NiFi/Flume/Flink
  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 3+ years of experience in data engineering (rare exceptions for highly skilled developers)
  • Experience of developing real-time data streaming pipelines using Change Data Capture (CDC), Kafka and Streamsets/NiFi/Flume/Flink
  • Proficient with big data technologies like Hadoop, Hive, etc.
  • Experience with Change Data Capture tooling such as IBM Infosphere, Oracle Golden Gate, Attunity, Debezium
  • Experience of ETL technical design, automated data quality testing, QA and documentation, data warehousing, data modeling and data wrangling
  • Expertise in Unix and DevOps automation tools like Terraform and Puppet and experience in deploying applications to at least one of the major public cloud provider such AWS, GCP or Azure
  • Extensive experience using RDMS and one of the NoSQL databases such as MongoDB, ETL pipelines, Python, Java APIs using spring boot and writing complex SQLs
  • Strong Python, Java and other backend development skills
  • Fluency in English language for effective communication
  • Ability to work full-time (40 hours/week) with a 4 hour overlap with US time zones

Preferred skills

  • Basic understanding of data systems or data pipelines
  • Knowledge of moving trained ML models into production data pipelines
  • A good understanding of cloud warehouse such as Snowflake
  • Basic understanding of data systems or data pipelines
  • Knowledge of moving trained ML models into production data pipelines
  • A good understanding of cloud warehouse such as Snowflake
  • Grasp on modern code development practices
  • Experience with core AWS services and concepts (S3, IAM, autoscaling groups)
  • Basic DevOps knowledge
  • Knowledge of relational database modeling concepts and SQL skills
  • Strong analytical, consultative, and communication skills

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Leadership

In a nutshell, Turing aims to make the world flat for opportunity. Turing is the brainchild of serial A.I. entrepreneurs Jonathan and Vijay, whose previous successfully-acquired AI firm was powered by exceptional remote talent. Also part of Turing’s band of innovators are high-profile investors, such as Facebook's first CTO (Adam D'Angelo), executives from Google, Amazon, Twitter, and Foundation Capital.

Equal Opportunity Policy

Turing is an equal opportunity employer. Turing prohibits discrimination and harassment of any type and affords equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, disability status, protected veteran status, or any other characteristic protected by law.

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