Senior Data Engineer
About The Position
We are looking for a seasoned Senior Data Engineer to work with our team and our clients to develop enterprise grade data platforms, services, and pipelines in an AI-enabled software development environment. We are looking for more than just a "Senior Data Engineer". We are seeking a technologist with excellent communication and customer service skills and a passion for data and problem solving. Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers – and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.
Requirements
- Ability to hold a position of public trust with the US government.
- Bachelor's Degree and 8+ years of experience.
- 5-7 years industry experience coding commercial software and a passion for solving complex problems.
- 5-7 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 crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
- Key must have skill sets – Python, AWS
- 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.
Nice To Haves
- Databricks experience is a plus.
Responsibilities
- 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
Benefits
- Annual salary is just one aspect of Steampunk’s total compensation package for employees.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1-10 employees
