Steampunk-posted 4 months ago
$125,000 - $160,000/Yr
McLean, VA

We are looking for seasoned Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a 'Data Engineer', but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

  • Lead and architect migration of data environments with performance and reliability.
  • Assess and understand the ETL jobs, workflows, BI tools, and reports.
  • Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products.
  • Support an Agile software development lifecycle.
  • Contribute to the growth of our Data Exploitation Practice.
  • Ability to hold a position of public trust with the US government.
  • 2-4 years industry experience coding commercial software and a passion for solving complex problems.
  • 2-4 years direct experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.
  • Relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents).
  • Data streaming systems: Storm, Spark-Streaming, etc.
  • Search tools: Solr, Lucene, Elasticsearch.
  • Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Experience in implementing generative AI solutions.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases.
  • Experience with message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Experience manipulating, processing, and extracting value from large, disconnected datasets.
  • Experience manipulating structured and unstructured data for analysis.
  • Experience constructing complex queries to analyze results using databases or in a data processing development environment.
  • Experience with data modeling tools and process.
  • Experience architecting data systems (transactional and warehouses).
  • Experience aggregating results and/or compiling information for reporting from multiple datasets.
  • Experience working in an Agile environment.
  • Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models.
  • Projected compensation range for this position is $125,000 to $160,000.
  • Total compensation package includes additional benefits.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service