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Remote Shrink Wrap Machine Operator Jobs in Washington

Senior Data Engineer

Washington, DC · Remote

$108K - $147K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES * Provide ... Author robust standard operating procedures governing the authoring, development, validation ...

Senior Data Engineer

Washington, DC · Remote

$120K - $163K/yr

Herndon, VA (Remote Work) Must have an Public Trust Clearance KEY RESPONSIBILITIES Provide ... Author robust standard operating procedures governing the authoring, development, validation ...

Software Engineer, Senior

Herndon, VA · On-site +1

$126K - $166K/yr

Develop and integrate machine learning workflows -- including training data preparation, model ... Comfortable operating in both Windows and Linux environments, including secure or classified ...

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to ... Collaborating with other data scientists, software developers, operators, project managers, and ...

... machine learning. RESPONSIBILITIES This position shall perform the following (to include but not ... operating in virtualized or remote access environments, as applicable. * Monitor device health ...

Remote within the United States Terms: Full-time Clearance: U.S. Citizenship required and ability ... Traditional, heavy machine learning model development is not a primary expectation for this role ...

Senior Software Engineer

Laurel, MD · On-site +1

$150K - $200K/yr

... Machine Learning/AI algorithms and research proof-of-concepts in the RD environment. The Engineer ... Possible up to 2 days a week remote if tasking becomes available, but is not guaranteed. What You ...

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

Expression is seeking an experienced AI/ML Engineer to design, optimize, and evaluate machine ... operating within constrained compute, bandwidth, and communications environments. The ideal ...

This position collaborates with engineers, operators, analysts, and cybersecurity teams to ensure ... Implement data models, schemas, and metadata structures optimized for analytics, machine learning ...

Our work focuses on sustaining, operating, and improving essential government systems and services ... This role is remote. Maximus TCS (Technology and Consulting Services) Internal Job Profile Code:

AI Solutions Architect- Federal

Washington, DC · Remote

$71.25 - $94/hr

AI Solutions Architect- Federal Location- Remote (US), DC Metro Area Preferred Clearance- Active ... Partnering with Account Directors, you will help mission owners adopt AI and machine learning with ...

Showing results 41-60

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Senior Data Engineer

Node.Digital

Washington, DC • Remote

$108K - $147K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago


Job description

Senior Data Engineer

Location: Herndon, VA (Remote Work)

Must have an Public Trust Clearance

KEY RESPONSIBILITIES

• Provide authoritative expertise on data engineering methods and best practices, including code first development approaches and modern pipeline design patterns.

• Design, implement, and maintain the data architecture that supports products and end users, with all assets managed under source control.

• Design, implement, and maintain ELT and ETL pipelines for efficient processing of source data in Azure Synapse and Azure Machine Learning, using both SDK V1 and SDK V2.

• Migrate source data identified by SBA OIG into Azure Data Lake Storage.

• Normalize entity attributes such as addresses, phone numbers, and other common fields.

• Review, maintain, and improve existing architecture and pipelines, including periodic audits addressing bottlenecks, deprecated dependencies, and architecture drift.

• Establish quality controls across all pipelines and introduce error handling, logging mechanisms, and validation checks.

• Incorporate source control across all pipelines and analytics codebases so code can evolve iteratively without destabilizing the architecture.

• Optimize ingestion, processing, and storage across a wide variety of datasets and data types, including modern columnar formats such as Parquet.

• Develop self service capabilities that let SBA OIG analysts query and export data for investigations and audits.

• Author robust standard operating procedures governing the authoring, development, validation, publishing, execution, and monitoring of all data pipelines and assets in the Azure environment.

• Produce detailed documentation of the data architecture, including data dictionaries, entity relationship diagrams, and pipeline process maps.

• Maintain and expand the environment with additional datasets and services on request, following a defined intake and testing process before production deployment.

• Stay current with emerging AI tooling relevant to data engineering and contribute to exploratory work evaluating automation and language model assisted capabilities.

Requirements

Education

Bachelor's degree in data engineering, computer science, data science, machine learning, mathematics, or a related field. Alternatively, five years of applied work experience in any of the same fields.

  • 5 years -Maintaining SQL databases and conducting advanced operations in SQL and T-SQL.
  • 5 years - Designing, implementing, and maintaining ELT and ETL processes in cloud based data analytics environments.
  • 3 years -Working in Azure Synapse and Azure Machine Learning with the modern data stack. Certifications preferred, DP-203 or equivalent.
  • 3 years -Manipulating data in Python. Pandas is required. PySpark and Polars preferred. Experience developing reusable, modular code preferred.

PREFERRED QUALIFICATIONS

  • DP-203, Microsoft Certified Azure Data Engineer Associate, or an equivalent current certification.
  • Implementing pipelines and infrastructure using code first approaches: Python SDK, CLI, REST APIs, or infrastructure as code tooling such as Terraform or Bicep.
  • Implementing source control and continuous integration and delivery workflows for data assets.
  • Demonstrated familiarity with AI coding assistants and large language model integration patterns.
  • PySpark or Polars at production scale.
  • Entity resolution and attribute normalization across records with inconsistent addresses, names, and identifiers.
  • Building self service analytic access for non engineering users.

Benefits

We are proud to offer competitive compensation and benefits packages to include

  • Medical
  • Dental
  • Vision
  • Basic Life
  • Health Saving Account
  • 401K matching
  • Three weeks of PTO/Sick
  • 11 Paid Holidays
  • Pre-Approved Online Training