OverviewWe 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.
Contributions- 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
- Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets - Python, AWS
- Support an Agile software development lifecycle
- You will contribute to the growth of our Data Exploitation Practice!
Qualifications- Ability to hold a position of public trust with the US government.
- Bachelor's degree and 5+ years of experience.
- 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 with Databricks.
- 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.
About steampunkSteampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $110,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity StatementAs part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
