Data Engineer

Job Locations US-Remote
Job Post Information* : Posted Date 1 month ago(1/24/2024 5:24 PM)
ID
2024-11100
# of Openings
1
Category
Information Technology

Overview

Remote (USA)

 

ForMotiv is the first Digital Behavioral Intelligence (DBI) platform. Using advanced, explanation-based predictive behavioral analytics, ForMotiv gives organizations unprecedented levels of insight into their users, leading to increased conversions, better digital experiences, and reduced risk and fraud. We’re well financed and have earned the business of some of the world’s most well-respected insurance companies. We’re a scrappy, collaborative group that is open to challenging each other and believe in learning something new every day.

Responsibilities

The role:

 

As a Data Engineer, you will play a pivotal role in bridging the gap between data science and engineering. We’re actively creating turnkey behavioral data science products, and looking for a data engineer to own and drive data pipeline and integration efforts. This is a unique opportunity to join a rapidly growing international startup, reporting to the Chief Data Officer (CDO) and collaborating closely with our teams. 

 

Our tech stack operates entirely within AWS, and leverages serverless, container-based facilities to create a highly performant and highly reliable service-based architecture.

 

Responsibilities:

  • Build, support, optimize, monitor and integrate ForMotiv’s python and data infrastructure technologies with the AWS infrastructure
  • Design, implement and maintain common data plumbing services, such as data acquisition, data processing and data storage using tools such as Lake Formation, SageMaker, Glue, RedShift, S3, SQS, Airflow, EMR, Athena and more.
  • Assist data scientists and engineers in automating the movement and processing of data in a real-time and batch Machine Learning environment.
  • Work with our DevOps team to create and maintain monitoring and alerting for traditional DevOps data services and for Machine Learning models and pipelines.

Qualifications

Qualifications:

 

  • 2+ years Python experience
  • 2+ years of Advanced SQL experience
  • 2+ years of AWS data automation experience using tools such as Sagemaker, boto3, AWS CLI, Docker, Python,Airflow, Spark, Hadoop/EMR, S3, Glue, etc.
  • 2+ years experience with data analytics and BI tools, including Tableau
  • 2+ years of experience implementing high-volume, high-speed data storage, distributed processing and data analytics systems working primarily with cloud technologies at a reputable company with references
  • Familiarity with machine learning concepts
  • Strong mathematics and problem-solving skills
  • Experience with software development processes and tools such as Scrum, Kanban, Git and Jira.
  • Expertise in interacting with multiple data storage types and products, such as S3,Postgres, DynamoDB, Redshift, Snowflake, HDFS, etc.
  • Familiarity with MLOps concerns, including monitoring and alerting tools such as datadog,Logstash, CloudWatch, Prometheus, Grafana and similar.
  • Experience working with Data Science/Analytics teams
  • Self-motivated, proactive, organized and a willingness to learn (and be taught)
  • You’re comfortable in a fast-paced, unstructured environment
  • Eagerness to wear multiple hats and lend a hand to your teammates when called upon

 

What ForMotiv Offers:

  • Stock options with vested interest in growing the business
  • Ground floor access to venture-backed technology start-up with global presence
  • Permanent, full-time employment with company sponsored employee health, dental & 401k plans 
  • Flexibly offer both remote & in-office work environments 

 

The Cultural Characteristics we look for:

 

  • Curiosity: You look at each day as an opportunity to learn something new, not as an opportunity to prove what you already know.
  • Work ethic: You look at each day as an opportunity to get better for yourself and your team.
  • Empathy: You care how others feel around you, and you have the capacity to understand their points of view.
  • Coachable: You know your strengths and weaknesses and you aren’t afraid to ask for help.

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