Senior Engineer - Data Analytics

Maximus, Inc.
Omaha, NE, United States
about 2 months ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$69,550.0 - $125,725.0
Working hours
Regular working hours

Tech stack

Business Analytics Applications Big Data Information Systems Data Architecture Data Validation Extract Transform Load (ETL) Data Mapping Database Queries DevOps MicroStrategy Performance Tuning Systems Development Life Cycle
+8 more
Reliability Engineering Power BI Software Requirements Analysis Tableau (Software) C4ISR Data Layers Information Technology Data Analytics

Job description

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:

  • Working with the Data Architect and senior leadership to execute on data model designs and enterprise solutions.
  • Expertly communicate relevant and timely information that drives consensus, improves solutions and fosters teamwork between senior leadership, coworkers and internal Maximus clients that drives good project outcomes and solution delivery.
  • Takes ownership of solutions and develops broad subject matter expertise of our underlying data.
  • Adhere to SDLC best practices, and assist in overall promotion to prod effort around data validation and completeness of solution and delivery., Description The Defense Sector at Leidos has a current job opportunity for a DevOps Engineer supporting the C4ISR Solutions Operation. The DevOps Engineer will guide the definiti…
  • 7 days ago, Reporting to the Senior Director of Environmental, you will serve as the Sr. Environmental Specialist responsible for optimizing the daily performance of wastewater treatment syste…
  • 13 days ago, Reporting to the Maintenance Manager, you will implement and execute a world-class Reliability Engineering program. You will work as part of the Corporate Reliability Center of Exc…
  • 1 month ago +

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.

  • 5+ years of experience in a technical role engineering data and/or analytics solutions.
  • Proven track record of successfully delivering large data-centric projects.
  • Ability to produce high quality documentation of business and system requirements, system design, data architecture, and training materials.
  • Expert data skills, including complex queries, performance tuning, expertise in a variety of approaches (e.g., relational, dimensional, unstructured).
  • Highly skilled in building data and semantic layers utilizing enterprise analytic tools such as Tableau, Microstrategy or PowerBI. #HotJobs0707LI #HotJobs0707FB #HotJobs0707X #HotJobs0707TH #TrendingJobs

Benefits & conditions

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 $ 115,000.00 Maximum Salary $ 135,000.00 *, + $69,550-125,725 per year

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all

Related articles

See all