Engineer - Data Analytics (SQL, Python)

General information
Job Posting Title
Engineer - Data Analytics (SQL, Python)
Date
Friday, August 21, 2026
City
Remote
Country
United States
Working time
Full-time
Description & Requirements
Maximus is currently seeking an Engineer - Data Analytics. The Engineer is responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
This is a remote position.
Because of contractual obligations, only U.S. Citizens and Green Card holders will be considered.
Essential Duties and Responsibilities:
- Responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
- Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
- Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.
- Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability.
- Provide training and consulting for various technical and non-technical internal teams.
- Produce work breakdowns and task estimates (scoping and tracking activities).
- Produce and document standard and best practices.
- Provide level 3 support for production systems.
Job-Specific Essential Duties and Responsibilities
- Responsible for delivery of business intelligence (BI) information to the entire organization, including the assessment of business requirements, collection and identification of technical specifications, and the subsequent development of technology solutions.
- Develop and maintain data integration solutions (including ETL/ELT design and architecture), semantic layer objects, presentation objects, reports, and dashboards for delivery of analytic solutions.
- Translate business needs and requirements to system requirements, data mapping, and data and semantic model design.
- Analyze requirements and apply architectural and engineering concepts to develop solutions that meet business needs while maintaining sustainability objectives, including: scalability, maintainability, security, reliability, extensibility, flexibility, availability, and manageability. Experience using SQL and Python is critical.
Minimum Requirements
- Bachelor's degree (Master's preferred) in Computer Science, Data Science, Engineering, Information Systems, Mathematics, Statistics, or related field. Equivalent experience will be considered in lieu of a degree.
- 3+ years of experience in a technical role engineering data and/or analytics solutions.
- May have additional training or education in area of specialization.
- Proven track record of successfully delivering data-centric projects.
- Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials.
- Excellent data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured).
- Skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI.
Preferred Skills and Qualifications
- Exp with AWS
- Exp with SQL
- Exp with Python
Home Office Requirements
- Internet speed of 20mbps or higher required (you can test this by going to www.speedtest.net).
- Connectivity to the internet via either Wi-Fi or Category 5 or 6 ethernet patch cable to the home router.
- Must currently and permanently reside in the Continental US.
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EEO Statement
Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.
Pay Transparency
Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.
Accommodations
Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.
Minimum Salary
$
85,000.00
Maximum Salary
$
94,000.00