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Data Processing Admin Jobs (NOW HIRING)

Kingston Brass

E-commerce Data Admin Clerk

Ontario, CA · On-site

$18 - $21/hr (+ commission)

Primary Job Duties - Processing and administration of online orders - Retrieving and processing ... data processing of quick-ship and expedited customer purchase orders. - Work with shipping ...

MFour Mobile Research, Inc.

Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Design, build, and maintain scalable data pipelines to process large volumes of structured and ... Administer Snowflake environments, including account management, performance tuning, and resource ...

Saransh Inc

Sr Azure Data Engineer (12+ yrs)

Minneapolis, MN · On-site

$57.50 - $71.25/hr

Skills Required Azure Admin Yes Required Skills: Azure Databricks Responsibilities: * Design and ... Implement best practices for data processing and analytics to ensure efficient and reliable data ...

Halvik

Data Analyst

Washington, DC · On-site

Additionally, assists the OAI Data Administrators in the formulation and/or implementation of policies and procedures pertaining to database management, processing, security maintenance, and ...

Tetra Tech

Additionally, assists the OAI Data Administrators in the formulation and/or implementation of policies and procedures pertaining to database management, processing, security maintenance, and ...

Halvik

Data Analyst

Washington, DC · On-site

$75K - $90K/yr

Additionally, assists the OAI Data Administrators in the formulation and/or implementation of policies and procedures pertaining to database management, processing, security maintenance, and ...

Halvik

Data Analyst

Washington, DC · Remote

$75K - $90K/yr

Additionally, assists the OAI Data Administrators in the formulation and/or implementation of policies and procedures pertaining to database management, processing, security maintenance, and ...

Tetra Tech

Data Analyst

Washington, DC · On-site

Additionally, assists the OAI Data Administrators in the formulation and/or implementation of policies and procedures pertaining to database management, processing, security maintenance, and ...

PROLIM Global Corporation

Senior Azure Data Engineer

Cary, NC · On-site

$107K - $128K/yr

Work with Kafka and Big Data processing frameworks for high-volume data ingestion and streaming workloads. * Collaborate with Product Owners, Admin Teams, Business Systems Analysts, Scrum Masters ...

Jobtailor

Senior Data Engineer

Newport News, VA · On-site

$96K - $130K/yr

Certification in Microsoft Azure Data Engineering or Azure Database Administrator preferred * Experience with Databricks, Spark, or big data processing preferred * Familiarity with metadata ...

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Data Processing Admin information

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How much do data processing admin jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for data processing admin in the United States is $17.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $18.51 per hour, depending on experience, location, and employer.

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Principal Data Engineer - AWS

Mountain View, CA • On-site

Metis Technology Solutions Inc
Aerospace Product and Parts Manufacturing • 51 - 200 employees
Learn more about Metis Technology Solutions Incexternal

$140K - $200K/yr

Full-time

Posted 8 days ago

Job description

POSITION SUMMARY: 

Metis Technology Solutions is seeking an experienced Principal Data Engineer – AWS to join our Software Operations team. This engineer will work closely with software developers, researchers, analysts, database engineers, and system administrators to design, develop, deploy, and operate the data infrastructure and pipelines connecting research platforms, external data sources, cloud-based services, and the project's Sherlock data warehouse. 


This position:

  • Architects, designs, develops, deploys, and maintains scalable and reliable ETL/ELT data pipelines in Amazon Web Services (AWS).
  • Designs automated ingestion and processing solutions for structured, semi-structured, unstructured, batch, and streaming data.
  • Develops production-quality data-processing and pipeline software using Python, SQL, and shell scripting.
  • Designs and maintain workflow orchestration solutions using technologies such as Apache Airflow, Dagster, AWS Step Functions, or equivalent platforms.
  • Designs and implements real-time and near-real-time streaming and event-driven data pipelines using technologies such as AWS Kinesis, Amazon Data Firehose, Kafka, RabbitMQ, SQS/SNS, or equivalent technologies.
  • Develops and maintains cloud data solutions using AWS services such as Amazon S3, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon DynamoDB, Amazon EC2, API Gateway, IAM, and CloudWatch, as appropriate to project requirements.
  • Administers and optimizes relational databases and cloud data warehouses, including PostgreSQL/PostGIS and Amazon Redshift or comparable technologies.
  • Develops and maintains infrastructure as code (IaC) using Terraform or equivalent technologies.
  • Develops and maintains automated deployment and CI/CD processes for data applications and supporting infrastructure.
  • Designs pipelines and supporting infrastructure for reliability, scalability, maintainability, observability, security, and efficient use of AWS resources.
  • Implements appropriate AWS security practices, including IAM roles and policies, encryption, secrets management, network controls, logging, and least-privilege access.
  • Develops monitoring, logging, metrics, and alerting that provide operational visibility into data-pipeline health and performance.
  • Documents data architectures, data flows, interfaces, infrastructure, deployment processes, operational procedures, and troubleshooting practices.
  • Collaborates with researchers, analysts, and application developers to translate research and application requirements into reliable and maintainable data-processing solutions.


MINIMUM QUALIFICATIONS:

 

Education: 

Bachelor’s degree or higher in computer science, computer engineering, information systems, or a related technical discipline.



Required Skills and knowledge:


  • Minimum 10 years of progressively responsible software engineering, data engineering, database engineering, or closely related technical experience.
  • Minimum 5 years of substantial hands-on AWS experience, including the design, implementation, deployment, and operation of production data-processing or data-pipeline solutions.
  • Demonstrated experience architecting and developing ETL/ELT pipelines involving large, heterogeneous, or rapidly changing datasets.
  • Strong hands-on experience with AWS data and compute services. Relevant technologies may include S3, Lambda, Redshift, RDS, DynamoDB, Kinesis, Data Firehose, EC2, API Gateway, IAM, and CloudWatch.
  • Advanced SQL skills and substantial experience working with relational database systems, preferably PostgreSQL/PostGIS.
  • Demonstrated experience with cloud data warehouses such as Amazon Redshift or comparable technologies.
  • Experience with NoSQL databases or document/key-value data stores such as DynamoDB, MongoDB, or comparable technologies.
  • Demonstrated experience with data-pipeline and workflow orchestration using Apache Airflow, Dagster, AWS Step Functions, or comparable technologies.
  • Experience designing or implementing streaming, message-oriented, or event-driven data-processing systems using technologies such as Kinesis, Data Firehose, Kafka, RabbitMQ, SQS/SNS, or comparable technologies.
  • Demonstrated experience diagnosing and correcting database and data-pipeline performance problems.
  • Hands-on experience with infrastructure as code, preferably Terraform or an equivalent technology.
  • Working knowledge of AWS security concepts including IAM, encryption, secrets management, network security, logging, and least-privilege access.
  • Strong understanding of modern software-engineering practices, including modular design, automated testing, version control, documentation, security, and maintainable code.
  • Strong analytical and troubleshooting skills and demonstrated ability to diagnose complex problems spanning applications, databases, data pipelines, and cloud infrastructure.
  • Proven ability to evaluate technical alternatives, make sound architectural decisions, and communicate the rationale and tradeoffs associated with those decisions.
  • Excellent written and verbal communication skills and demonstrated ability to collaborate effectively with software engineers, researchers, analysts, system administrators, and other technical stakeholders.


LOCATION SPECIFIC REQUIRMENTS: NASA Ames Research Center, Moffett Field CA


SECURITY CLEARANCE: Applicant must be eligible to obtain a U.S. Government Public Trust Clearance. Must be a U.S. Citizen or Permanent Resident.


EEOE Including Vets and Disability