Senior Data Engineer (Remote)

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, PyTorch, TensorFlow, MapReduce, R Programming

Job Description

KYM Advisors is looking for an experienced data engineer to join our team. You will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals. To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods. If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

We are currently seeking a Data Engineer to help our Federal client in facilitating and maturing a Data Analytics program within an Office of the Chief Data Officer (OCDO). This is an exciting opportunity that will allow qualified candidates to further develop their skills and contribute to an exciting federal project to create, transform, and modernize data platforms and pipelines!

• Independently and as part of a project team, works to collect, build, cleanse, assemble, and refine datasets to support a variety of data analytics needs put forward by business and technical stakeholders.
• Assembles large complex data sets and creates and maintains data pipelines required for optimal ETL/ELT for internal and external data sources; focuses on scalability and high performance
• Implements real time and batch processing requirements as well as graph databases in large-scale data environments.
• Works with a variety of business and technical stakeholders including executive, product, data, and information technology teams to intake requirements, provide progress updates, troubleshoot, and generally supports their needs.
• Forward-thinking approach with interest in highlighting internal process improvement with respect to automating manual processes, optimizing data delivery, improving infrastructure for greater scalability, etc.

Requirements

• Bachelor’s Degree in Information Technology, Engineering, Computer Science, Machine Learning, Statistics or related fields
• 3+ years’ experience in IT, data analytics, data engineering, or related discipline
• Advanced working SQL knowledge with experience working with relational and NoSQL databases, Apache Spark, and Spark SQL
• Previous hands-on coding and scripting experience in languages such as Python and Scala
• Prior experience utilizing APIs to interface with Apache Spark; experience utilizing PySpark
• Experience working within enterprise data security management policies and procedures
• Due to COVID-19, certain on-site client work has been suspended until further notice, however, on-site work may be required on a case-by-case basis for this position
• Must be a U.S. Citizen with the ability to obtain and maintain a government suitability clearance.

Desired

• Current DHS clearance or prior government agency security clearance strongly preferred
• Experience with Databricks as a platform strongly preferred
• 2+ years’ experience in machine learning (ML), artificial intelligence (AI), and/or natural language processing (NLP) preferred
• Experience working within an Agile and/or Scrum environment preferred
• Experience with Graph databases like Neo4j or GraphFrames
• Experience with advanced analytics solutions (data science, machine learning, data modeling, etc.) including infrastructure (e.g., data engineering) preferred
• Experience in an environment using leading data science and machine learning platforms (Databricks, SAS, Anaconda, Alteryx, etc.) preferred
• Consulting experience at large consulting firm (e.g. Booz Allen Hamilton, Deloitte, Accenture, Cap Gemini) nice-to-have
• Experience with Tableau and SAS is nice-to-have

Benefits

• Medical
• Dental
• Vision
• Short-term Disability
• Long-term Disability
• Life and AD&D insurance
• 401K Plan with employer match