Data Engineer

Elder Research

United States

Remote

USD 80,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Flexible time off

Parental leave

Bereavement leave

Weekly Tech Talks

Lunch provided at office

Job summary

This innovative firm is seeking a Data Engineer to join their dynamic team. In this role, you will design and build robust data pipeline systems that facilitate the collection, storage, and analysis of data, ensuring it is accessible for data scientists and analysts. You will leverage best practices in software development and machine learning principles to optimize data processes. The company values creativity and teamwork, offering a supportive environment that encourages continuous learning and a healthy work-life balance. If you are passionate about data and eager to solve complex problems, this opportunity is perfect for you.

Qualifications

3+ years of experience in data engineering and analytics.
Bachelor's degree in Computer Science or related field required.

Responsibilities

Design and build data pipeline systems for data collection and analysis.
Implement data management techniques and maintain data integrity.

Skills

Python

Data Management

Machine Learning

Anomaly Detection

AWS

JavaScript

Data Analytics

Education

Bachelor of Science in Computer Science

Tools

Advana

Power BI

Job description

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Location: Remote, with a preference for those in the District of Columbia, Maryland, and Virginia
Clearance Required: Secret
People Centered. Data Driven

Elder Research Inc. is a Data Science consulting firm specialized in providing analytic solutions to clients in Commercial and Government industries. Our team enjoys a great variety in the type of work they do and exposure to a wide range of techniques and tools.

Join our team and find great opportunities to hone your analytic skills, work on complex problems with amazing teammates, and gain valuable analytics consulting experience.

Summary Of Position

As a Data Engineer, you will design and build data pipeline systems for collecting, storing, and analyzing data to ensure it is usable for data scientists and analysts, while utilizing software best practices, data optimizations, anomaly detection, and machine learning principles.

Essential Functions

Define and execute data management techniques and products that promote effective creation of data science, enterprise analytics, and AI products.
Implement auditable controls that prohibit users from updating, deleting, accessing, viewing, or otherwise manipulating data that is outside their explicit control.
Demonstrate the ability to work with and handle information assets characterized by a high volume, velocity, variety, and/or veracity that require technology that employs massively parallel processing to deliver insights into the data.
Provide data model support for user-defined data structures, schemas, and data ingest capabilities.
Research and define master data management techniques to centrally manage lookup tables, business glossaries, and data profile information.
Develop and automate data transfer of authoritative data sources and trusted aggregators to data platforms like Advana, Power BI or other platforms.
Develop Secure API mechanisms for users to develop machine to machine interfaces to retrieve data for external application use.

Job Specifications/Requirements

Bachelor of Science degree in Computer Science or closely related IT field.
3+ years of experience
Experience working with Python
AWS Experience
JavaScript familiarity
Willingness to learn

Desired Skills

Experience with Advana is a plus
Experience with CDAO is a plus
Familiarity with the mission space and Office of the Undersecretary of Defense for Personnel and Readiness (O is a plus)

About Elder Research, Inc

Elder Research is a fast-growing consulting firm specializing in predictive analytics. We pride ourselves in our ability to find creative, cutting-edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately.

Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. Elder Research believes in continuous learning and community - each week the entire company attends a “Tech Talk” and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives.

Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Seniority level