Data Engineer

Posted 20 Hours Ago
Washington, DC
Senior level
Information Technology • Database • Consulting
The Role
The Data Engineer will lead the architecture and implementation of both on-premises and cloud-based data solutions while building data pipelines in AWS for data lakes and warehouses, utilizing tools like AWS Glue and Python. Responsibilities include managing ETL processes and ensuring efficient data integration.
Summary Generated by Built In

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):

  • Build out data pipelines in AWS for data lakes and data warehouses.
  • implementing data pipelines, via a variety of tools including Amazon S3, AWS Glue, Amazon Textract, Amazon Comprehend, AWS Lambda, SQL and/or Python scripts, in the cloud to an existing data lake and data warehouse.
  • Implement data pipelines, for batch and streaming data sources, from external feeds into a cloud-based data lake and eventually into data warehouses;
  • Implement data cataloging to share metadata information for datasets in the data lake;
  • Use AWS serverless components in the data pipeline architecture;
  • Use IaC tools to deploy the pipelines within AWS.

 Basic Qualifications:

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

About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider. 
 

Top Skills

AWS
Python
SQL
The Company
HQ: Washington, DC
110 Employees
On-site Workplace
Year Founded: 2009

What We Do

Analytica is an award-winning consulting and technology services provider that supports public-sector health, civilian, and national security. We specialize in data-driven solutions, which have been recognized by organizations such as NYU’s Governance Lab for driving public sector modernization and innovation. Analytica is an SBA Certified 8(a), HUBZone that has been honored as one of the 250 fastest-growing businesses in the U.S. for three consecutive years by Inc.

​For information on the company visit: www.analytica.net
For exciting career opportunities visit: careers.analytica.net

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