Data Engineer

Flippa.com; Washington (District of Columbia); Remote; USD 100,000 - 140,000; Full time

Job summary

A leading consulting firm seeks a skilled Data Engineer (MLOps) to enhance enterprise data programs for federal clients. The ideal candidate will architect big data solutions within AWS and apply AI/ML methodologies, driving impact in health and national security sectors.

Benefits

Competitive compensation

Employer-paid health care

Training and development funds

401k match

Opportunities for bonuses

Qualifications

• 5+ years of hands-on experience in data pipelines.
• Experience with AWS serverless components and ETL jobs.
• Must be a US Citizen and eligible for security clearance.

Responsibilities

• Build data pipelines in AWS using various tools and methodologies.
• Implement data cataloging and manage credentials with AWS Secrets Manager.
• Utilize Infrastructure as Code (IaC) tools for deployments.

Skills

Python

AWS Glue

Data Pipelines

AI/ML

NLP

Education

AWS ML Certification or AWS Data Engineer Certification

Tools

AWS

SQL

Job description

Analytica is seeking a remote Data Engineer (MLOps) to support one or more dynamic, long-term federal government enterprise data programs. The ideal candidate will lead the architecture and implementation of on-premises and cloud big data solutions as part of enterprise data modernization.

About Analytica

Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match.

Responsibilities include (but are not limited to):

1. Build data pipelines in AWS for data lakes and data warehouses.
2. Implement data pipelines using tools such as Amazon S3, AWS Glue, Amazon Textract, Amazon Comprehend, AWS Lambda, SQL, and Python scripts, in the cloud to existing data lakes and data warehouses.
3. Implement data pipelines for batch and streaming data sources from external feeds into cloud-based data lakes and data warehouses.
4. Implement data cataloging to share metadata information for datasets in the data lake.
5. Use AWS serverless components in the data pipeline architecture.
6. Use Infrastructure as Code (IaC) tools to deploy the pipelines within AWS.

Basic Qualifications:

1. 5+ years of hands-on experience creating and maintaining efficient scripts/data pipelines to clean, transform, and ingest data from various formats into database tables, data warehouses, or data lake repositories.
2. Experience building data pipelines using AWS serverless components; using AWS Glue for ETL jobs; using Python to implement ETL scripts; and managing credentials with AWS Secrets Manager.
3. Experience with AI/ML, NLP, Sentiment Analysis, etc., with one of the leading cloud providers is a plus.
4. AWS ML Certification or AWS Data Engineer Certification is desired.
5. Must be a US Citizen.
6. Must be able to obtain and maintain a Public Trust security clearance.

About Analytica

Analytica is a leading consulting and IT solutions provider supporting health, civilian, and national security missions. Recognized as an SBA 8(a) small business, we have been named among the fastest-growing companies in the U.S. by Inc. Magazine for three consecutive years. We specialize in software and systems engineering, information management, analytics & visualization, agile project management, and management consulting. Our company is appraised at CMMI Level 3 and ISO 9001:2008 certified.

Equal Opportunity Employment

Analytica LLC is an Equal Opportunity Employer. We provide equal employment opportunities regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or protected characteristics. We comply with VEVRAA and take affirmative action to employ protected veterans. All employment decisions are based on merit and qualifications. We also provide reasonable accommodations for applicants and employees with disabilities.

Please verify email communication from Analytica by ensuring the sender's domain is analytica.net.