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We built the platform that makes it easy, efficient, and trusted—for departments, officers, and the organizations that need them.
POSITION OVERVIEW
RollKall is seeking an experienced Analytics Engineer to join our Business Intelligence team and shape the foundation of our analytics infrastructure. You'll build and maintain high-quality data pipelines, establish best practices for data transformation and validation, and drive adoption of AI-powered tools — all while building the dashboards and reports our stakeholders depend on. This role bridges data engineering and business intelligence, with a tech stack that includes Domo (cloud data warehouse and visualization), SQL Server, and Azure Logic Apps for third-party integrations.
This position offers the opportunity to shape RollKall's analytics infrastructure — you won't just be building reports, you'll be driving enhancements to quality standards, documentation practices, and AI strategy that will scale our BI capabilities as we grow. The ideal candidate sees data quality as a strategic advantage, not a compliance checkbox, and is excited about building systems that make reliable data accessible to the entire organization and RollKall's customer base.
WHAT YOU’LL BE DOING
Data Quality & Governance
Design and implement data quality frameworks, including validation rules, testing procedures, and monitoring systems to ensure data accuracy and reliability Build and maintain comprehensive technical documentation for all data assets, including data dictionaries, transformation logic, business rules, and data lineage Enforce analytics engineering best practices and standards across the BI environment Proactively identify and resolve data quality issues, conduct root cause analysis, and implement preventive measures Champion data governance initiatives and serve as the quality advocate for the BI team
Analytics Engineering & BI Development
Design, develop, and optimize data transformations using Domo's Magic ETL (both visual dataflows and SQL) Build scalable, performant data models that serve as the foundation for reporting and analytics Create and maintain Domo dashboards, cards, and visualizations based on business requirements Manage Domo platform administration, including user access, dataset schedules, and dataflow performance optimization Develop and automate reports and scheduled deliveries to support business operations Collaborate with stakeholders to gather requirements, translate business needs into technical solutions, and deliver actionable insights Troubleshoot data discrepancies and performance issues across the analytics stack
AI Strategy & Innovation
Evaluate Domo's AI capabilities and help develop a roadmap for adopting AI-powered features that enhance data quality, self-service analytics, and business insights Leverage existing AI tools (eg, Claude Code) to accelerate documentation creation and improve data discovery Champion the strategic use of AI within the BI environment to drive efficiency and innovation Stay current with emerging analytics engineering trends and Domo platform developments WHAT WE’RE LOOKING FOR Demonstrated experience owning data quality initiatives and implementing validation frameworks Proven track record of building technical documentation and establishing process standards Experience working independently and taking full ownership of projects from requirements through delivery 5-7 years of hands-on experience in analytics engineering, business intelligence, data analytics, or related roles.
Technical Skills
BI Platform Experience: Strong experience with at least one modern BI platform (Domo strongly preferred; Tableau, Power BI, or similar platforms acceptable) ETL/Data Transformation: Hands-on experience building and maintaining ETL/ELT pipelines and data transformation workflows Data Modeling: Solid understanding of dimensional modeling, data warehousing concepts, and analytics-ready data structure Version Control: Experience with GitHub for code repository management SQL Expertise: Advanced SQL skills, including query optimization, performance tuning, complex joins, and window function optimization
Business & Communication Skills
Excellent communication skills with the ability to translate technical concepts for non-technical audiences Strong analytical and problem-solving abilities Ability to work effectively with remote team members and collaborate across departments Self-motivated with the ability to identify and drive process improvements proactively Experience balancing multiple priorities and managing stakeholder expectations
Preferred Qualifications
Direct experience with Domo platform (Magic ETL, Dataflows, Beast Modes, Domo administration) Familiarity with Azure cloud services and Logic Apps Experience with AI/ML tools in analytics contexts Background in SaaS, municipal government, or public safety sectors Proficiency with object-oriented programming (Python, .NET, or similar) Knowledge of JSON and YAML Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
OUR CULTURE
RollKall is built on four core values: One Team (people first, trust, care, diversity, and inclusion), Servant Leadership (do the right thing, question authority), Humbition (humility, ambition, and empathy for our users), and Deliver Results (bias for action, innovate, embrace change). We're looking for someone who doesn't just fit our culture — but strengthens it.
LOCATION & WORK SCHEDULE
This position is preferred to work out of our Las Colinas (DFW) office, though remote candidates will be considered. RollKall employees are required to work in the office two days per week unless otherwise authorized — our office serves as the hub for innovation, collaboration, and idea sharing across our diverse, global team.
COMPENSATION & BENEFITS
Along with a competitive salary and bonus structure, you'll be eligible for healthcare (medical, dental, vision, prescription drugs, FSA/HSA & Teladoc), Employee Assistance Program, Maternity and Parental Leave, 401(k), and Sick, Vacation, and Paid Holiday time.
RollKall Technologies is an equal opportunity employer committed to a diverse and inclusive workplace. xkddfxh We do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Sprachkenntnisse
- English
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