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Data Engineer

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1 Vacancy
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Job Location

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- USA

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Req ID : 2518229

Does data make you happy Do your ears perk up at the mention of databases and dbt and Natural Language Processing Then this could be for you! Join HData as their newest Data Engineer and enjoy working remotely for a startup in the burgeoning RegTech space. No egos no drama just good people and fun work.

HData

Hdata is a leading regulatory technology company that specializes in delivering streamlined compliance and business intelligence solutions to the U.S. energy industry. Our innovative platform empowers organizations to navigate complex regulatory landscapes optimize operations and make datadriven decisions.

What You Will Do

As a Data Engineer at HData you will be responsible for contributing to the development and optimization of our data infrastructure. Your primary focus will be on implementing workflow orchestration designing and building custom connectors for data ingestion and leveraging dbt and Snowflake to enhance data reliability and scalability.

Who You Are

Ideally you have 3 years experience in data engineering ELT pipeline development and data modeling work. You are proficient in SQL and have experience with Snowflake or data warehousing dbt (data build tool) ELT or ETL and workflow orchestration tools such as Dagster. You know databases stored procedures scxripting and have strong programming skills particularly in Python.

Benefits

  • Medical Dental & Vision Benefits
  • Performance Bonus
  • 401k Retirement Plan
  • 401k Matching
  • Equity Benefit Package
  • Remote Hybrid & InOffice Friendly
  • Flexible PTO
  • Relocation Assistance
  • Life Insurance
  • Assortments of Discounts Perks and Deals

HData is committed to promoting equality inclusion and diversity. We’re an equalopportunity employer of the brightest minds we can find — regardless of race gender age religion sexual orientation or identity.

Employment Type

Remote

Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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