Data Engineer

Analytica; Washington (District of Columbia); Remote; USD 80,000 - 120,000; Full time

Job summary

A forward-thinking company is on the lookout for a skilled Data Engineer specializing in MLOps to enhance federal government data programs. This remote position offers the chance to lead the architecture and implementation of innovative big data solutions, leveraging cutting-edge technologies in AWS. Join a rapidly growing firm recognized for its impactful contributions to health and national security missions. The role promises competitive compensation, opportunities for bonuses, and a supportive environment for professional growth. If you're passionate about data engineering and eager to make a difference, this is the opportunity for you.

Benefits

Employer-paid health care

Training and development funds

401k match

Qualifications

• 5+ years of experience in data integration and pipeline development.
• Experience with AWS serverless components and Python scripting.

Responsibilities

• Build data pipelines in AWS for data lakes and data warehouses.
• Implement data cataloging for sharing metadata in the data lake.

Skills

Data Integration

AWS Glue

Python

Data Pipelines

AI/ML

NLP

Tools

AWS

Amazon S3

AWS Lambda

AWS Secrets Manager

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.

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 not limited to):

1. Build data pipelines in AWS for data lakes and data warehouses.
2. Implement data pipelines using tools like Amazon S3, AWS Glue, Amazon Textract, Amazon Comprehend, AWS Lambda, SQL, and Python scripts, integrating with existing data lakes and warehouses.
3. Develop 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. Utilize AWS serverless components in the data pipeline architecture.
6. Use Infrastructure as Code (IaC) tools to deploy pipelines within AWS.

Basic Qualifications:

1. 5+ years of experience in data integration, creating and maintaining scripts and data pipelines for cleaning, transforming, and ingesting data into databases, data warehouses, or data lakes.
2. Experience building data pipelines with AWS serverless components, including using AWS Glue for ETL jobs, Python for scripting, and AWS Secrets Manager for credential management.
3. Experience with AI/ML, NLP, Sentiment Analysis, etc., with one of the leading cloud providers is a plus.
4. AWS Machine Learning Certification or AWS Data Engineer Certification is preferred.
5. Must be a U.S. Citizen.
6. Ability 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 by Inc. Magazine as one of the 250 fastest-growing companies in the U.S. for three years, we specialize in software and systems engineering, information management, analytics & visualization, agile project management, and management consulting. Our company is appraised at CMMI Maturity Level 3 and ISO 9001:2008 certified.