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ASM Research, An Accenture Federal Services Company logo

Data Analytics Engineer

ASM Research, An Accenture Federal Services Company

Multiple U.S. locationsJob$150–180K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$150–180K/yr
Location
Multiple U.S. locations
Work Authorization
Not specified

Olive focuses on jobs in the United States, including remote roles you can work from there.

Job overview

The Data Analytics Engineer designs, develops, and supports enterprise reporting and analytics solutions for data-driven decision-making. The role integrates data from enterprise systems, builds data models and ETL/ELT workflows, and develops Power BI reporting. It also involves gathering requirements, validating data quality, supporting testing and deployment, documenting processes, and transitioning analytics capabilities into production support.

Skills & qualifications

RequiredNice to have

Skills

Data Integration, nice to haveBusiness Intelligence, nice to haveAnalytics Engineering, nice to haveData Warehousing, nice to haveMicrosoft Power BI, nice to haveSQL, nice to haveRelational Databases, nice to haveData Modeling, nice to haveETL/ELT, nice to haveAutomated Data Workflows, nice to haveProduction Deployment, nice to haveTroubleshooting, nice to haveOperational Transition, nice to haveAnalytical Skills, nice to haveCommunication, nice to haveStakeholder Engagement, nice to have

Qualifications

Bachelor's in IT, CS, or Related Field or Equivalent Experience, requiredMaster's Degree, nice to haveAdvanced Computing Certification, nice to have8+ Years Systems Engineering/Analysis Experience, required

Full job description

The Data Analytics Engineer is responsible for designing, developing, and supporting enterprise reporting and analytics solutions that enable data-driven decision-making across the organization. This role combines technical expertise in data integration, data modeling, ETL/ELT development, and Power BI reporting with business analysis, stakeholder engagement, testing, documentation, and operational readiness activities. The Data Analytics Engineer collaborates with business and technical stakeholders to gather requirements, integrate data from multiple enterprise systems, develop scalable reporting solutions, validate data quality, and ensure successful deployment and transition of analytics capabilities into production support.

  • Design, develop, and maintain enterprise reporting, analytics, and business intelligence solutions using Microsoft Power BI.

  • Gather, analyze, document, and validate business and technical reporting requirements.

  • Develop and maintain data models, semantic models, datasets, dashboards, reports, and visualizations.

  • Design, build, and optimize ETL/ELT processes, automated data pipelines, and data integration workflows.

  • Integrate and transform data from multiple enterprise systems and data sources to support reporting and analytics needs.

  • Collaborate with business users, technical teams, and stakeholders to define reporting metrics, KPIs, and data requirements.

  • Create and maintain technical documentation, data dictionaries, process flows, standard operating procedures, and knowledge transfer materials.

  • Provide troubleshooting, issue resolution, and continuous improvement recommendations for reporting environments.

  • Supports enterprise reporting modernization efforts by coordinating with business and technical stakeholders to identify reporting requirements, gather and document data source information, support report and dashboard validation, assist with testing and data quality reviews, and maintain project documentation.

  • May act as a mentor and/or team lead for junior staff.

Minimum Qualifications

  • Bachelor's Degree in Information Technology, Computer Science, other relevant field, or equivalent relevant experience; Master's Degree preferred.

  • Advanced computing certification preferred.

  • 8-15 years of experience in Systems Engineering/Analysis.

Other Job Specific Skills

  • Experience in data integration, business intelligence, analytics engineering, or data warehousing.

  • Hands-on experience developing reports and dashboards using Microsoft Power BI.

  • Experience with SQL, relational databases, and data modeling.

  • Experience designing and implementing ETL/ELT processes and automated data workflows.

  • Experience integrating data from multiple enterprise systems and data sources.

  • Experience supporting production deployments, troubleshooting, and operational transition activities.

  • Strong analytical, communication, and stakeholder engagement skills.

Compensation Ranges

Compensation ranges for ASM Research positions vary depending on multiple factors; including but not limited to, location, skill set, level of education, certifications, client requirements, contract-specific affordability, government clearance and investigation level, and years of experience. The compensation displayed for this role is a general guideline based on these factors and is unique to each role. Monetary compensation is one component of ASM's overall compensation and benefits package for employees.

EEO Requirements

It is the policy of ASM that an individual's race, color, religion, sex, disability, age, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.

All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, disability, or age. All decisions on employment are made to abide by the principle of equal employment.

Physical Requirements

The physical requirements described in "Knowledge, Skills and Abilities" above are representative of those which must be met by an employee to successfully perform the primary functions of this job. (For example, "light office duties' or "lifting up to 50 pounds" or "some travel" required.) Reasonable accommodations may be made to enable individuals with qualifying disabilities, who are otherwise qualified, to perform the primary functions.

Disclaimer

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

$150k - $180k

EEO Requirements

It is the policy of ASM that an individual's race, color, religion, sex, disability, age, gender identity, veteran status, sexual orientation or national origin are not and will not be considered in any personnel or management decisions. We affirm our commitment to these fundamental policies.

All recruiting, hiring, training, and promoting for all job classifications is done without regard to race, color, religion, sex, veteran status, disability, gender identity, or age. All decisions on employment are made to abide by the principle of equal employment.

How this job compares

Set against the 6,493 open Data Engineer jobs on Olive Jobs, counted November 13, 2026.

Pay
  • This posting$150–180K/yr
  • South Carolina median$103–202K/yr45 salary ranges
  • US median$116–202K/yr5,255 salary ranges

This range's midpoint, $165K, is 10% above the South Carolina median midpoint ($150K) — in the middle half of Data Engineer salary ranges in South Carolina.

Openings
Olive Jobs lists 59 open Data Engineer jobs in South Carolina and 6,493 across the US. 8% of them nationwide are listed as remote or flexible.
Hiring the most in South Carolina
Experience
This posting asks for at least 8 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,723 postings).
Education
2,512 of the 6,493 open Data Engineer jobs (39%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 13, 2026. Figures based on too few postings are left out.

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