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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analytics Engineer - **Company:** Healthtronics, Inc. - **Location:** Austin, TX, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Microsoft Azure, Information Systems, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Mart, Data Systems, Data Visualization, Data Warehousing, Decision Support Systems, Python (Programming Language), Metadata, Power BI, Cloud Services, SQL Databases, Tableau (Software), Data Processing, Azure Data Factory, Snowflake, Microsoft Fabric, Information Technology, Data Analytics, Data Management, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** August 29, 2026 - **Apply:** https://www.jofdav.com/jobs/59441164-data-analytics-engineer ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field. * 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles. * Strong SQL development and database management skills. * Experience with data warehouse technologies and cloud data platforms. * Proficiency in Python, SQL, or other data processing languages. * Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms. * Knowledge of ETL/ELT frameworks and data integration methodologies., * Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake. * Understanding of data governance and master data management practices. * Experience working in Agile environments. * Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. KEY COMPETENCIES: * Analytical thinking and problem-solving * Data modeling and architecture * Stakeholder communication * Process improvement * Attention to detail * Project management and prioritization * Collaboration and teamwork SUCCESS MEASURES: * Delivery of reliable and scalable analytics solutions. * Improvement in data quality and reporting accuracy. * Reduction in manual reporting efforts. * Increased adoption of self-service analytics capabilities. * Timely delivery of data and analytics initiatives aligned with business goals. ## Description The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives., Data Engineering & Integration * Design, develop, and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources. * Build and optimize data pipelines to ensure data quality, reliability, and performance. * Develop and maintain enterprise data models, data warehouses, and data marts. * Monitor and troubleshoot data workflows and resolve data-related issues. Analytics & Reporting * Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools. * Translate business requirements into scalable analytical solutions. * Develop KPIs, metrics, and reporting frameworks to measure business performance. * Support ad hoc data analysis and reporting requests. Data Governance & Quality * Implement data quality controls and validation processes. * Ensure compliance with organizational data governance policies and security standards. * Maintain data dictionaries, metadata, and documentation. * Promote best practices for data management and analytics. Collaboration & Business Partnership * Partner with business stakeholders to understand reporting and analytical needs. * Work closely with application teams and business process owners to improve data accessibility and usability. * Provide technical guidance and mentoring to analysts and other team members. * Present analytical findings and recommendations to leadership. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)