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lead software engineer

JOB DESCRIPTION

 

We are looking for a full-time lead software engineer to work on data platform and join our rapidly growing team. For this position, you can work in either remotely or in our Reston, VA headquarters. Our technical staff is scattered across the U.S, so you'll need to be comfortable working remotely. We often use videoconferencing tools (like Slack, Google Meet) to coordinate, as well as Jira for tasking, and Bitbucket for source control. We work in short sprints, and we'll count on you to provide estimates for tasks to be completed and delivered. 

 

WHAT YOU'LL DO:



  • Use big data technologies, processing frameworks, and platforms to solve complex problems related to location


  • Build, improve, and maintain data pipelines that ingest billions of data points on a daily basis


  • Efficiently query data and provide data sets to help Sales and Client Success teams' with any data evaluation requests


  • Ensure high data quality through analysis, testing, and usage of machine learning algorithms



WHO YOU ARE:



  • 3-5+ years of Spark and Scala experience


  • Experience working with very large databases and batch processing datasets with hundreds of millions of records


  • Experience with Hadoop ecosystem, e.g. Spark, Hive, or Presto/Athena


  • Real-time streaming with Kinesis, Kafka or similar libraries


  • 4+ years working with SQL and relational databases


  • 3+ years working in Amazon Web Services (AWS)


  • A self-motivated learner who is willing to self-teach


  • Willing to mentor junior developers


  • Self-starter who can maintain a team-centered outlook


  • BONUS: Experience with Python, Machine Learning


  • BONUS: GIS/Geospatial tools/analysis and any past experience with geolocation data



 


Position

Data Scientist


Must have Skills

  • Hadoop

    Beginner

  • SQL

    Beginner

  • AWS

    Beginner

  • Scala

    Beginner

  • Spark ML

    Beginner

Client Payroll

Up to 450 K/Year USD (Annual salary)

Fully Remote

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lead software engineer

JOB DESCRIPTION

 

We are looking for a full-time lead software engineer to work on data platform and join our rapidly growing team. For this position, you can work in either remotely or in our Reston, VA headquarters. Our technical staff is scattered across the U.S, so you'll need to be comfortable working remotely. We often use videoconferencing tools (like Slack, Google Meet) to coordinate, as well as Jira for tasking, and Bitbucket for source control. We work in short sprints, and we'll count on you to provide estimates for tasks to be completed and delivered. 

 

WHAT YOU'LL DO:



  • Use big data technologies, processing frameworks, and platforms to solve complex problems related to location


  • Build, improve, and maintain data pipelines that ingest billions of data points on a daily basis


  • Efficiently query data and provide data sets to help Sales and Client Success teams' with any data evaluation requests


  • Ensure high data quality through analysis, testing, and usage of machine learning algorithms



WHO YOU ARE:



  • 3-5+ years of Spark and Scala experience


  • Experience working with very large databases and batch processing datasets with hundreds of millions of records


  • Experience with Hadoop ecosystem, e.g. Spark, Hive, or Presto/Athena


  • Real-time streaming with Kinesis, Kafka or similar libraries


  • 4+ years working with SQL and relational databases


  • 3+ years working in Amazon Web Services (AWS)


  • A self-motivated learner who is willing to self-teach


  • Willing to mentor junior developers


  • Self-starter who can maintain a team-centered outlook


  • BONUS: Experience with Python, Machine Learning


  • BONUS: GIS/Geospatial tools/analysis and any past experience with geolocation data



 


Job Type

Client Payroll


Positions

Data Scientist


Must have Skills

  • Hadoop

    Beginner

  • SQL

    Beginner

  • AWS

    Beginner

  • Scala

    Beginner

  • Spark ML

    Beginner

Up to 450 K/Year USD (Annual salary)

Longterm (Duration)

Fully Remote

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Brittany K

| United States