z - Data Engineer 2021 at Enterprise Knowledge LLC

, Virginia, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jul, 26

Salary

0.0

Posted On

07 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, Pandas, Dplyr, Data pipelines, ETL, Apache Airflow, AWS Step Functions, SQL, SPARQL, Gremlin, Knowledge Graphs, Machine Learning, Apache Spark, AWS, Infrastructure as code

Industry

Information Technology & Services

Description

Enterprise Knowledge (EK) is hiring for a full-time Data Engineer to join our growing Data and Information Management Practice. This individual will support dynamic and fast-paced technical delivery projects for a range of commercial and federal clients that provide the opportunity to learn fast and grow quickly. We are seeking a well-organized, curious, and quick learner who will tackle diverse challenges with creative solutions. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges including managing data at scale using popular data manipulation frameworks backed by scalable cloud architecture. The data engineer will be part of a team working on cutting-edge projects like developing an orchestrated data solution to integrate and transform source data to build a Knowledge Graph that powers advanced search and Artificial Intelligence (AI) solutions. As an EK team member, you will have the opportunity to learn from enthusiastic colleagues, take advantage of our unique benefits, and help build our innovative culture. Don’t just take our word for it – we were recently featured as one of Washington Business Journal and Inc. Magazine’s 2021 Best Workplaces! Required Skills and Qualifications: Experience in development using leading data manipulation frameworks, especially Python or R, and associated libraries such as pandas and dplyr. Able to carefully identify and understand client needs in order to design practical solutions that surpass their expectations. Minimum of 3 years of experience developing data pipelines or data products and services such as microservices or APIs. Experience implementing data transformation pipelines using data orchestration or ETL workflows such as with tools like Apache Airflow or AWS Step Functions. Experience with multiple data structures and tools such as relational databases, graph databases, document stores, search indexes, etc. and multiple data serialization formats such as CSV, JSON, Parquet, or HDFS. Proficiency in at least one database query language such as SQL, SPARQL, or Gremlin Must be able to obtain a Public Trust (Moderate) Clearance. As required by EO 14043, all of our employees are required to be fully vaccinated against COVID-19 regardless of the employee's location or work arrangement (e.g., telework, remote work, etc.), subject to such exceptions as required by law. If you are hired, we will require you to prove that you have received the COVID-19 vaccine, unless you have received a medical or religious exemption. Preferred Skills and Qualifications: Experience with the graph data structure such as Knowledge Graphs or other graph analytics use cases Working knowledge or experience with implementing Machine Learning workflows including Exploratory Data Analysis, Feature Engineering, Model Training, and Cross Validation. Implementation of distributed data processing frameworks such as Apache Spark, Kolas, or Dask. Experience building, deploying, and supporting cloud-based infrastructure such as AWS and understanding of key cloud/IT principles such as networking, permissions, basic server management, and Infrastructure as code (IaC) templating. “We are an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.”

Responsibilities

The data engineer will develop orchestrated data solutions to integrate and transform source data for Knowledge Graphs. They will also support technical delivery projects for commercial and federal clients using scalable cloud architecture.