Data Engineer

Engineering Englewood, Colorado


Job Description:

Infostretch is looking for a Data Engineer responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams.

The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Data Engineer

You would be considered a great fit for this role if you have the following:

  • 5+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kaa, Flink etc) for building efficient, large-scale ‘big data’ pipelines.
  • Strong Software Engineering experience with proficiency in at least one of the following programming languages: Java, Python, Scala or equivalent.
  • Implement data ingestion pipelines both real time and batch using best practices.
  • Experience with building stream-processing applications using Apache Flink, Kaa Streams or others.
  • Experience with Cloud Computing platforms like Amazon AWS, Google Cloud etc.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Ability to work in a Linux environment.

These qualifications would make you stand out among other applicants:

  • Experience in building distributed, high-volume data services.
  • Experience with big data processing and analytics stack in AWS: EMR, S3, EC2, Athena, Kinesis, Lambda, Quicksight etc.
  • Knowledge of data science tools and their integration with data lakes.
  • Experience in container technologies like Docker/Kubernetes

Education Qualification:

  • B.S .in computer science, software engineering, computer engineering, electrical engineering, or related area of study.