REQUIRED: Active TS/SCI with Full Scope Polygraph
LOCATION: Full-time onsite in Chantilly, VA
We’re seeking a Data Scientist who can harness Spark, PySpark, and Python to transform complex, disparate data into meaningful, actionable intelligence. In this role, you’ll drive end‑to‑end ETL workflows, map and enrich structured and unstructured datasets, and build clear, insightful dashboards using tools like CloudWatch and Kibana.
Who We Are: We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, and IT program management.
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.
Join us and let's shape the future together!
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:
- Utilizing big data processing tech such as Spark, Pyspark, and Python.
- Data mapping, extraction, transformation and loading.
- Building analytic reports in tools such as CloudWatch and Kibana.
- Processing and converting of OS and Data Logs into reports and metrics Dashboards.
- Working with Regular Expressions (RegEx).
- Using SQL, MySQL, PostgresSQL.
- Working with Data file type processing XML, JSON.
- Working with IDEs and Data Modeling through Notebooks and Visual Studio.
- ETLing data from disparate structured & unstructured data formats into enriched, query-friendly structured data in indexed files.
- Performing extensive data review and data quality analysis.
- Developing ETL design documentation including source and target mapping and data dictionary information.
- Interfacing with customers and integration partners for gaining and clarifying detailed objectives.
- Supporting Agile development by contributing to tasking definition, scope and review.
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:
- Deploying capabilities on the Databricks unified analytics platform
- Using Elastic MapReduce to run big data workloads.
- Joining multiple complex data sets using Spark.
- Tuning Spark streaming and batch jobs for cluster utilization and speed.
- Deploying complex, notebook-based pipelines.
- Python data analysis libraries such as Pandas.
- Utilizing Cloud services such as Lambda, SNS/SQS, or EC2.
- Using DevOps tools to include Cloudwatch, Lambda, SQS, Dynamo and RDS.
- Working with Elastic, ElasticSearch/Logstash/Kibana (ELK stack).
What We Offer You:
- 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 full-time position with consultants expected to be available and working onsite in Chantilly, VA during core hours.
Ready to take the next step in your career? Join us and be part of a team dedicated to driving positive change through technology. Apply now with our easy 3-minute, mobile-friendly initial application process. Your future starts here!