Role Description: We're hiring a Data Engineering Manager to lead our analytics engineering <br>team and own the strategy, architecture, and delivery of our data platform. You'll manage two <br>analysts, partner with software engineering on ETL/integration work, and make the technical <br>decisions that shape how the organization consumes data. Your priorities are speed, security, <br>and stability—in that order when they conflict. This role requires initiative and ownership. <br>You'll operate with significant autonomy—identifying problems, developing solutions, and <br>driving them to completion without waiting for direction. We need someone who stays close to <br>the work and leads by example.<br>Roles & Responsibilities:<br>• Manage and develop a team of two data analysts focused on reporting, dashboards, and <br>data modeling<br>• Own schema design, data modeling decisions, and warehouse architecture<br>• Optimize query performance, storage costs, and pipeline reliability<br>• Partner with engineering teams on data integration, ETL processes, and source system <br>changes<br>• Establish and enforce standards for data quality, access controls, and documentation<br>• Evaluate and implement tooling decisions across the data stack<br>• Translate business requirements into scalable, maintainable data solutions<br>• Integrate multiple systems with Salesforce Sales Cloud, including internal proprietary <br>and third-party applications and APIs<br>Qualifications:<br>• Bachelor’s Degree in Computer Science and Engineering or equivalent<br>• 5+ years of experience in data engineering, analytics engineering, or a related technical <br>role<br>• 2+ years of experience managing or technically leading a team<br>• Deep expertise with cloud data warehouse: Azure Data Warehouse or Snowflake<br>• Advanced SQL skills and solid understanding of data modeling patterns (star schema, <br>normalization tradeoffs, slowly changing dimensions)<br>• Hands-on experience with at least one BI platform (PowerBI, Tableau, or Looker)<br>• Experience with Salesforce data structures and reporting (SOQL, custom objects, record <br>relationships)<br>• Familiarity with ETL/ELT orchestration tools (Airflow, Azure Data Factory, Airbyte etc..)<br>• Background in data governance, PII handling, or compliance requirements<br>• Ability to understand and document business logic, not just technical implementation<br>• Clear communication skills—you'll interface with both engineers and business <br>stakeholder
<p>Are you organized, detail-oriented, and ready to contribute to a busy accounting environment? Our team is seeking a contract File Clerk to support a CPA firm during the peak tax season (January-April).</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Maintain accurate electronic and paper filing systems for tax-related documents and client records</li><li>Log and track incoming client files, making sure all paperwork is labeled and accessible</li><li>Scan, copy, and upload confidential documents securely</li><li>Retrieve requested files for CPAs and tax staff in a timely manner</li><li>Ensure compliance with internal privacy and security protocols at all times</li><li>Prepare completed files for secure storage or destruction per company policy</li></ul><p><br></p>
<p>A professional services organization in San Marcos is seeking a highly detail-oriented <strong>Data Entry Clerk</strong> to support data accuracy and record maintenance across multiple departments. This role is ideal for someone who enjoys focused work, accuracy, and contributing to the integrity of business operations through precise data management.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Enter and update data into internal systems with high accuracy</li><li>Verify information for completeness and consistency</li><li>Maintain organized digital and physical records</li><li>Review data for errors and correct discrepancies</li><li>Support reporting and administrative teams with data requests</li><li>Follow data security and confidentiality protocols</li><li>Assist with special projects requiring data organization</li></ul>
