Data Engineer

Ardent Principles, Inc; Illinois; Vor Ort; USD 130.000 - 260.000; Vollzeit

Benefits dieser Stelle

Competitive Salary

Paid Time Off

Dedicated Training Budget

100% Employer-Covered Family Vision, D

100% Employer-Covered Life and DIS

401(k) Plan with a 6% Employer Match

11 Paid Government Holidays

Spot Bonuses for Exceptional Perform.

Zusammenfassung

Ardent Principles, Inc. is seeking a Data Engineer to transform complex, disparate data into reliable pipelines that power analytics, automation, and decision-making across high-impact programs.

You will build robust data architectures, ensure data integrity, and collaborate with cross-functional technical teams onsite in McLean, VA. This full-time, on-site role requires TS/SCI with CI Polygraph; you will work within the Data Analysis and Technology Services department, enjoy a competitive

Qualifikationen

• Active TS/SCI with CI Polygraph required.
• Onsite in McLean, VA.
• Full-time, contingent position.

Aufgaben

• Design and build data infrastructure and data pipelines.
• Transform and prepare data, ensuring quality and security.
• Develop scalable ETL/ELT workflows for analytics.

Kenntnisse

Python

SQL

Linux

Bash scripting

NiFi

PostgreSQL

MySQL

Neo4J

RDS

Kibana

Elastic

Jupyter Notebooks

Spark

Trino

AWS

Docker

Kubernetes

Ausbildung

STEM/CS background

Tools

NiFi

PostgreSQL

MySQL

Neo4J

RDS

Tableau

Kibana

Elastic

Jupyter Notebooks

Git

Docker

Kubernetes

Spark

Trino

AWS

Jobbeschreibung

Data Engineer

Department: Data Analysis and Technology Services

Employment Type: Full Time

Location: McLean, VA

Compensation: $130,000 - $260,000 / year

Description

REQUIRED: Active TS/SCI with CI Polygraph
LOCATION: Full-time, onsite in McLean, VA
CONTINGENT
We are seeking a Data Engineer who thrives in a mission-driven, environment. This role is ideal for someone who can transform complex, disparate data into reliable, scalable pipelines that power analytics, automation, and decision-making across high-impact programs. If you excel at building robust data architectures, ensuring data integrity, and collaborating with cross-functional technical teams, you’ll find this work both challenging and deeply meaningful.

Passionate Integrity, Driven by Excellence
\"Ardent Principles\" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities.
Join us and let's shape the future together!

Key Responsibilities

• Data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
• Data management and integration, including designing and operating robust data layers for application development across local and cloud or web data sources.
• Programming with Python
• Building scalable ETL and ELT workflows for reporting and analytics.
• Using general Linux computing and advanced bash scripting
• Using SQL.
• Constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS.
• Processing data sources containing structured or unstructured data.
• Developing data pipelines with NiFi to bring data into a central environment
• Delivering results to stakeholders through written documentation and oral briefings
• Using code repositories such as Git
• Using Elastic and Kibana technologies
• Working with multiple stakeholders
• Documenting such artifacts as code, Python packages and methodologies
• Using Jupyter Notebooks
• Machine learning techniques including natural language processing
• Explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats
• Developing tested, reusable and reproducible work
• Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics.

Highly Desired Qualifications

• Using cloud services, such as AWS, as well as cloud data technologies and architecture.
• Using big data processing tools such as Apache Spark or Trino
• Working with machine learning algorithms
• Using container frameworks such as Docker or Kubernetes
• Using data visualizations tools such as Tableau, Kibana or Apache Superset
• Creating learning objectives and creating teaching curriculum in technical or scientific fields.

What We Offer

• Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
• Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
• Dedicated Training Budget: Supporting continuous learning and professional development.
• 100% Employer-Covered Family Vision, Dental, and Health Insurance: Ensuring comprehensive health coverage for you and your family.
• 100% Employer-Covered Life and Disability Insurance: Offering financial security and peace of mind.
• 401(k) Plan with a 6% Employer Match: Helping you plan and save for a secure retirement, with 100% vesting from day one.
• 11 Paid Government Holidays: Observing national holidays to ensure time off with family and friends.
• Spot Bonuses for Exceptional Performance: Rewarding outstanding contributions and achievements.

SCHEDULE:

This is a contingent, full-time position working onsite in McLean, VA during core hours.