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Data Optimization Jobs (NOW HIRING)

Data Engineer

Herndon, VA · On-site

$117K - $141K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

Data Engineer

Chantilly, VA · On-site

$117K - $140K/yr

Implement indexing, partitioning, and query optimization strategies * Monitor and troubleshoot data pipeline performance issues Data Quality & Governance * Ensure data accuracy, consistency, and ...

... data optimization.Prioritize, deconflict and craft backlog requirements for a team of data acquisition professionals while coordinating data task requirements with personnel conducting data ...

Senior Cybersecurity Engineer Splunk

Charlotte, NC · On-site

$111K - $153K/yr

This role will lead the architecture and operations of Splunk Enterprise environments , data optimization and enabling advanced security monitoring across cloud and on-prem ecosystems. The ideal ...

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Ability to implement an effective data quality assurance process, data optimization, and documentation procedures. * Read, scope, author, and/or execute code of varying degrees of complexity for ...

Experience in "Big Data" and data optimization best practices * Comfortable with being uncomfortable - an ability to figure things out without always knowing what direction to take Certifications ...

This role applies mathematical optimization, operations research, data science, and cloud-based engineering practices to help deliver the North American Vehicle Supply Chain vision of providing the ...

Experience in "Big Data" and data optimization best practices * Comfortable with being uncomfortable - an ability to figure things out without always knowing what direction to take Certifications ...

Experience in "Big Data" and data optimization best practices * Comfortable with being uncomfortable - an ability to figure things out without always knowing what direction to take Certifications ...

Systems PhD - Software Engineer

Seattle, WA · On-site

$196K - $233K/yr

They are seeking a Systems PhD - Software Engineer to design and implement advanced systems in areas like query optimization, distributed execution, and data security. Responsibilities : • Query ...

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Data Optimization information

What are some typical challenges faced in a Data Optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What is a Data Optimization job?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in the Data Optimization position, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

More about Data Optimization jobs
What cities are hiring for Data Optimization jobs? Cities with the most Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Data Optimization jobs? States with the most job openings for Data Optimization jobs include:
What job categories do people searching Data Optimization jobs look for? The top searched job categories for Data Optimization jobs are:
Infographic showing various Data Optimization job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% In-person job distribution.

Data Engineer

KDA Consulting Inc

Herndon, VA • On-site

$117K - $141K/yr

Full-time

Posted 18 days ago


Job description

KDA Consulting Inc. is seeking a highly skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures supporting mission-critical programs within the Intelligence Community (IC). This role focuses on enabling efficient data processing, analytics, and decision-making by delivering reliable, high-quality data solutions in cloud environments.

The ideal candidate will have strong experience with AWS cloud services, data engineering best practices, and big data technologies, with the ability to operate in a fast-paced, collaborative environment supporting complex mission systems.

Data Pipeline Development & Engineering

  • Design, develop, and maintain scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  • Build and optimize data workflows supporting both batch and real-time processing
  • Ensure high availability and reliability of data pipelines across enterprise systems

AWS Cloud & Data Services

  • Leverage AWS services such as S3, Glue, Lambda, Redshift, EMR, and Kinesis to support data engineering solutions
  • Design and manage cloud-based data architectures that are secure, scalable, and cost-efficient
  • Implement best practices for data storage, partitioning, and lifecycle management

Data Optimization & Performance

  • Optimize data storage and retrieval for performance, scalability, and cost efficiency
  • Implement indexing, partitioning, and query optimization strategies
  • Monitor and troubleshoot data pipeline performance issues

Data Quality & Governance

  • Ensure data accuracy, consistency, and integrity across all data pipelines and systems
  • Implement validation, monitoring, and error-handling mechanisms
  • Support data governance practices and compliance with security and IC standards

Collaboration & Integration

  • Work closely with data scientists, software engineers, and mission stakeholders to support analytics and operational needs
  • Integrate data solutions with enterprise applications, APIs, and downstream analytics platforms
  • Participate in Agile development processes and contribute to continuous improvement efforts

Requirements

Active TS/ SCI W/ Polygraph Required.

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Demonstrated experience in data engineering and pipeline development

Strong experience with AWS data services (e.g., S3, Glue, Redshift, Lambda, EMR)

Proficiency in SQL and Python for data processing and transformation

Experience working with large-scale data sets and big data technologies

Strong analytical and problem-solving skills