Data Engineer

Amazon Web Services, Analytics, Apache Flink, Apache Hadoop, Apache Kafka, Apache Spark, Cloud, Computer science, Cross-functional, Customer acquisition, Data analysis, Architecture, Automation, Best practices, Big data, Business requirements, Engineering, Extraction, Google Cloud, Infrastructure, Leadership, COM, Data engineering, Data flow, Data science, Database, ETL, Java, Real-time, Scala, Scalability, Software, Software development, Software engineering, MapReduce, Metrics, Operational efficiency, Process improvement, Python, SQL, Streaming, Transformation
Contract W2, Contract Independent, Contract Corp-To-Corp, 12 Months
Depends on Experience
Travel not required

Job Description

Position: Data Engineer Location: Denver, CO

Data Engineer Primary Skills - Scala, Spark, AWS, Kafka, Flink, Druid

About the Data Engineer role:

  • 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.


  • Bachelor's degree in Computer Science Engineering, Data Analytics, or a related technical degree.
  • 5+ years of experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, Kafka, 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 in both real-time and batch using best practices.
  • Experience with building stream-processing applications using Apache Flink, Kafka Streams or others.
  • Experience with Cloud Computing platforms like Amazon AWS, Google Cloud, etc.

Warm Regards Sharon Rose| Sr.Recruitre | Keylent Inc | 1000 N West Street, Suite 1200 | Wilmington,DE,19801 | Phone: | E Mail:

Dice Id : 10423210A
Position Id : 7156634
Originally Posted : 2 months ago
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