At Intent Talent Solutions (ITS), recruiting isn’t just what we do — it’s what drives us. Based in the heart of Dallas, Texas, we’re built on the belief that every great hire starts with purpose and intent. We partner with companies that value people as their greatest investment, delivering personalized recruiting solutions that go beyond filling positions — we help build futures.

From emerging startups to established enterprises, ITS is the bridge between exceptional talent and opportunity. We bring energy, precision, and genuine care to every search, ensuring the right fit for both candidate and company. Our process is rooted in connection, guided by integrity, and fueled by the passion to make a lasting impact on every organization we touch.

At Intent Talent Solutions, we don’t just find talent — we connect intent with opportunity.

Intent Talent Solutions

Your search and staffing partner for technical, professional, and executive talent—powered by full-suite solutions.

The Data Engineer designs, builds, and optimizes data pipelines and warehouses that enable trusted analytics and AI-driven decision making. They collaborate closely with business stakeholders, data scientists, and engineers to ensure data quality, security, and scalability across platforms.
Support the technical execution of a large-scale system migration. This role will focus on the data engineering side to build out infrastructure and support other efforts as needed such as project coordination, data validation, and stakeholder alignment.
Core ResponsibilitiesDesign and develop scalable ETL/ELT pipelines and data integration practices.Senior/Lead: Architects end-to-end data pipelines, defines standards for performance and reusability, and mentors others on best practices.Implement and maintain data models (star, snowflake, data vault) to support analytics and reporting.Senior/Lead: Establishes modeling standards, validates scalability and consistency across systems, and aligns data structures with enterprise architecture.Collaborate with data architects, analysts, and platform engineers to deploy and maintain data solutions in cloud environments (AWS, Azure, GCP).Senior/Lead: Defines deployment standards, automates infrastructure with IaC, and ensures platform performance.Ensure data quality, integrity, and security through validation, monitoring, and governance practices.Senior/Lead: Defines governance frameworks, quality SLAs, and metrics for production monitoring.Contribute to continuous improvement and automation of data engineering processes.Senior/Lead: Leads process improvement initiatives and establishes best practices across teams.Support analytics, data science, and reporting teams with accessible, well-documented, and high-quality data.Senior/Lead: Owns metadata strategy and enforces governance and compliance standards.ExperienceSenior: 8–12 years engineering enterprise-scale data solutions and mentoring othersLead: 12+ years architecting multi-cloud data platforms and governing enterprise data engineering standardsExperience designing and implementing end-to-end data architectures and scalable data platformsExperience leading cross-functional teams and establishing engineering best practices across projectsExperience within Mortgage IndustrySkillsAdvanced SQL and data modeling (enterprise-scale design, performance optimization, scalability)Strong Python for building scalable, reusable data pipeline frameworks and automationDeep expertise in ETL/ELT architecture and orchestration (Airflow, dbt, Dataflow, Informatica)Strong understanding of cloud data platforms (Snowflake, BigQuery, Redshift, Databricks, Azure Fabric) and multi-cloud architecturesAbility to architect end-to-end data pipelines and define standards for performance, scalability, and reusabilityExperience establishing data modeling standards and aligning data structures with enterprise architectureStrong knowledge of infrastructure-as-code (Terraform or similar) and CI/CD for data platform deploymentsExperience defining and implementing data quality frameworks, SLAs, and monitoring strategiesKnowledge of data governance frameworks (metadata management, lineage, access controls, compliance)Ability to lead technical decision-making and guide solution design across teamsExperience mentoring and developing junior and mid-level engineersAbility to drive process improvement and establish engineering best practices across teamsIndustry expertise in ABF and mortgage servicing – settlements, remittances/cash consolidation, servicing workflows, etc.Good communication skills and change management abilities – align stakeholders and ensure operational readiness of new platformProduct/Program Management – experience leading a full lifecycle project including driving requirements, design, build, testing, cutover planning, and go-live executionDelivery MethodsAgile or hybrid project delivery modelsExperience leading delivery planning, technical design, and execution across multiple workstreamsToolsSnowflake, BigQuery, dbt, Airflow, Python, Git, Terraform (or similar tools), Tableau/Power BICertifications (Preferred)Snowflake SnowPro, AWS Data Analytics Specialty, Azure Data Engineer Associate, GCP Professional Data Engineer


Senior Data Engineer

What the job involves